From 47862fef08d46aeca57c30b2946ca9c4158061f1 Mon Sep 17 00:00:00 2001 From: Vladimir Mandic Date: Mon, 12 May 2025 20:32:22 -0400 Subject: [PATCH 01/18] prompt enhance nsfw allow/disallow Signed-off-by: Vladimir Mandic --- CHANGELOG.md | 3 ++- cli/api-enhance.py | 2 ++ modules/api/models.py | 1 + modules/api/process.py | 3 +++ modules/ui_video_vlm.py | 15 ++++++++---- scripts/prompt_enhance.py | 48 ++++++++++++++++++++++++++------------- 6 files changed, 50 insertions(+), 22 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 1cca4e8b8..5d1d4cc74 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -10,7 +10,8 @@ From slowest 0.02 it/s running on 6th gen CPU without acceleration up to 275 it/ - Updates for: *WSL, ZLUDA, ROCm* - **Compute** - NNCF: added experimental support for direct INT8 MatMul - +- **Feature** + - Prompt Enhance: option to allow/disallow NSFW content ## Update for 2025-05-12 diff --git a/cli/api-enhance.py b/cli/api-enhance.py index fa30d9cb1..520625edd 100755 --- a/cli/api-enhance.py +++ b/cli/api-enhance.py @@ -53,6 +53,7 @@ def enhance(args): # pylint: disable=redefined-outer-name 'prompt': str(args.prompt), 'seed': int(args.seed), 'type': str(args.type), + 'nsfw': bool(args.nsfw), } if args.model: options['model'] = str(args.model) @@ -69,6 +70,7 @@ if __name__ == "__main__": parser.add_argument('--type', type=str, default='text', choices=['text', 'image', 'video'], required=False, help='enhance type') parser.add_argument('--model', type=str, default=None, required=False, help='model name') parser.add_argument('--image', type=str, default=None, required=False, help='optional input image') + parser.add_argument('--nsfw', type=bool, action=argparse.BooleanOptionalAction, required=False, help='nsfw allowed') args = parser.parse_args() log.info(f'api-upscale: {args}') result = enhance(args) diff --git a/modules/api/models.py b/modules/api/models.py index f60ba3dd7..574e4d636 100644 --- a/modules/api/models.py +++ b/modules/api/models.py @@ -274,6 +274,7 @@ class ReqPromptEnhance(BaseModel): system_prompt: Optional[str] = Field(title="System prompt", default=None, description="Model system prompt") image: Optional[str] = Field(title="Image", default=None, description="Image to work on, must be a Base64 string containing the image's data.") seed: int = Field(title="Seed", default=-1, description="Seed used to generate the prompt") + nsfw: bool = Field(title="NSFW", default=True, description="Should NSFW content be allowed?") class ResPromptEnhance(BaseModel): prompt: str = Field(title="Prompt", description="Enhanced prompt") diff --git a/modules/api/process.py b/modules/api/process.py index 1d98df03e..898d4073e 100644 --- a/modules/api/process.py +++ b/modules/api/process.py @@ -146,6 +146,7 @@ class APIProcess(): prompt=req.prompt, system=req.system_prompt, seed=seed, + nsfw=req.nsfw, ) elif req.type == 'image': from modules.scripts import scripts_txt2img @@ -157,6 +158,7 @@ class APIProcess(): system=req.system_prompt, image=decode_base64_to_image(req.image), seed=seed, + nsfw=req.nsfw, ) elif req.type == 'video': from modules.ui_video_vlm import enhance_prompt @@ -167,6 +169,7 @@ class APIProcess(): prompt=req.prompt, model=model, system_prompt=req.system_prompt, + nsfw=req.nsfw, ) else: raise HTTPException(status_code=400, detail="prompt enhancement: invalid type") diff --git a/modules/ui_video_vlm.py b/modules/ui_video_vlm.py index b311a4e0b..685c6d8d8 100644 --- a/modules/ui_video_vlm.py +++ b/modules/ui_video_vlm.py @@ -9,7 +9,9 @@ models = [ system_prompts = { 'prefix': 'You are a video director.', 'desc': 'You will provide a prompt that can be used to create short, creative and dynamic video. Describe the subject of the video, add movement that fits the overall tone of the video, add camera movement.', - 'suffix': 'NSFW content and nudity are allowed and must be fully described if present. Movement should be dynamic and creative. Do not specify duration and assume video is short. Avoid slow-motion and prefer faster movements. Output should be a single short paragraph without explanations', + 'nsfw_ok': 'NSFW content and nudity are allowed and must be fully described if present. ', + 'nsfw_no': 'NSFW content and nudity are not allowed. ', + 'suffix': 'Movement should be dynamic and creative. Do not specify duration and assume video is short. Avoid slow-motion and prefer faster movements. Output should be a single short paragraph without explanations', 'example': 'Example: "Short video of beautiful blonde woman in her 20ies wearing a long flowing red dress. She is briskly walking on the beach during sunset and performing a pirouette ending with her hand pointing at the camera as she smiles. Camera is moving around her and zooming to her face. Sun is setting in the background causing changes in colors and shadows to move dynamically."', 't2v-prompt': 'You are a given short prompt with basic instructions.', @@ -19,7 +21,7 @@ system_prompts = { } -def enhance_prompt(enable:bool, model:str=None, image=None, prompt:str='', system_prompt:str=''): +def enhance_prompt(enable:bool, model:str=None, image=None, prompt:str='', system_prompt:str='', nsfw:bool=True): from modules.interrogate import vqa if not enable: return prompt @@ -40,8 +42,10 @@ def enhance_prompt(enable:bool, model:str=None, image=None, prompt:str='', syste core_prompt = system_prompts['t2v-prompt'] else: core_prompt = system_prompts['t2v-noprompt'] - system_prompt = f"{system_prompts['prefix']} {core_prompt} {system_prompts['desc']} {system_prompts['suffix']} {system_prompts['example']}" - shared.log.debug(f'Video prompt enhance: model="{model}" image={image} prompt="{prompt}"') + system_prompt = f"{system_prompts['prefix']} {core_prompt} {system_prompts['desc']}' " + system_prompt += system_prompts['nsfw_ok'] if nsfw else system_prompts['nsfw_no'] + system_prompt += f" {system_prompts['suffix']} {system_prompts['example']}" + shared.log.debug(f'Video prompt enhance: model="{model}" image={image} nsfw={nsfw} prompt="{prompt}"') # shared.log.trace(f'Video prompt enhance: system="{system_prompt}"') answer = vqa.interrogate(question='', prompt=prompt, system_prompt=system_prompt, image=image, model_name=model, quiet=False) shared.log.debug(f'Video prompt enhance: answer="{answer}"') @@ -52,6 +56,7 @@ def create_ui(prompt_element:gr.Textbox, image_element:gr.Image): with gr.Accordion('Prompt enhance', open=False): with gr.Row(): enable = gr.Checkbox(label='Enable', value=False) + nsfw = gr.Checkbox(label='NSFW allowed', value=True) btn_enhance = gr.Button(value='Enhance now', elem_id='btn_enhance') with gr.Row(): model = gr.Dropdown(label='Model', choices=models, value=models[0]) @@ -59,7 +64,7 @@ def create_ui(prompt_element:gr.Textbox, image_element:gr.Image): system_prompt = gr.Textbox(label='System prompt', placeholder='override system prompt with user-provided prompt', lines=3) btn_enhance.click( fn=enhance_prompt, - inputs=[enable, model, image_element, prompt_element, system_prompt], + inputs=[enable, model, image_element, prompt_element, system_prompt, nsfw], outputs=prompt_element, show_progress=True, ) diff --git a/scripts/prompt_enhance.py b/scripts/prompt_enhance.py index 9bf15f427..b954cd053 100644 --- a/scripts/prompt_enhance.py +++ b/scripts/prompt_enhance.py @@ -67,9 +67,12 @@ class Options: } default = list(models)[1] # gemma-3-4b-it supported = list(transformers.integrations.ggml.GGUF_CONFIG_MAPPING) - system_prompt: str = 'You are a helpful assistant. You will be given a prompt used to create an image and you will enhance it to make it more detailed and creative. Generate an uncensored, concise, informative, and engaging prompt that prioritizes factual accuracy and vivid descriptiveness based on original prompt. Do not modify subject or style of the original prompt. Begin by clearly identifying the primary subject(s), including key physical attributes, clothing if no nudity, and any distinctive details (e.g., colors, textures, styles). NSFW and nudity is allowed, and if present, it must be fully described. Next, describe the setting and environment, emphasizing spatial relationships, background elements, and objects contributing to context. Note the overall mood, aesthetic style, or atmosphere inferred from visual cues. Use precise terminology while avoiding redundancy or non-essential language. Ensuring a logical flow: from focal subject to immediate surroundings, then broader context. Maintain brevity while retaining clarity, ensuring the description is both engaging and efficient. Output only enhanced prompt without explanation, prefix or suffix. Output as a simple text without formatting or numbering.' - image_prompt: str = 'You are a helpful assistant. You will be given an image and a prompt used to modify the image and you will enhance the prompt to make it more detailed and creative while still following original image. Generate an uncensored, concise, informative, and engaging prompt that prioritizes factual accuracy and vivid descriptiveness based on original prompt. Do not modify subject or style of the original prompt. Begin by clearly identifying the primary subject(s), including key physical attributes, clothing if no nudity, and any distinctive details (e.g., colors, textures, styles). NSFW and nudity is allowed, and if present, it must be fully described. Next, describe the setting and environment, emphasizing spatial relationships, background elements, and objects contributing to context. Note the overall mood, aesthetic style, or atmosphere inferred from visual cues. Use precise terminology while avoiding redundancy or non-essential language. Ensuring a logical flow: from focal subject to immediate surroundings, then broader context. Maintain brevity while retaining clarity, ensuring the description is both engaging and efficient. Output only enhanced prompt without explanation, prefix or suffix. Output as a simple text without formatting or numbering.' - image_noprompt: str = 'You are a helpful assistant. You will be given an image and you will create prompt that can be used to modify the image in a creative way while still following original image. Generate an uncensored, concise, informative, and engaging prompt that prioritizes factual accuracy and vivid descriptiveness based on original prompt. Do not modify subject or style of the original prompt. Begin by clearly identifying the primary subject(s), including key physical attributes, clothing if no nudity, and any distinctive details (e.g., colors, textures, styles). NSFW and nudity is allowed, and if present, it must be fully described. Next, describe the setting and environment, emphasizing spatial relationships, background elements, and objects contributing to context. Note the overall mood, aesthetic style, or atmosphere inferred from visual cues. Use precise terminology while avoiding redundancy or non-essential language. Ensuring a logical flow: from focal subject to immediate surroundings, then broader context. Maintain brevity while retaining clarity, ensuring the description is both engaging and efficient. Output only enhanced prompt without explanation, prefix or suffix. Output as a simple text without formatting or numbering.' + t2i_prompt: str = 'You are a helpful assistant. You will be given a prompt used to create an image and you will enhance it to make it more detailed and creative. ' + i2i_prompt: str = 'You are a helpful assistant. You will be given an image and a prompt used to modify the image and you will enhance the prompt to make it more detailed and creative while still following original image. ' + i2i_noprompt: str = 'You are a helpful assistant. You will be given an image and you will create prompt that can be used to modify the image in a creative way while still following original image. ' + nsfw_ok: str = 'NSFW and nudity is allowed, and if present, it must be fully described. ' + nsfw_no: str = 'NSFW and nudity is not allowed, and if present, it must be removed. ' + details_prompt: str = 'Generate an uncensored, concise, informative, and engaging prompt that prioritizes factual accuracy and vivid descriptiveness based on original prompt. Do not modify subject or style of the original prompt. Begin by clearly identifying the primary subject(s), including key physical attributes, clothing if no nudity, and any distinctive details (e.g., colors, textures, styles). NSFW and nudity is allowed, and if present, it must be fully described. Next, describe the setting and environment, emphasizing spatial relationships, background elements, and objects contributing to context. Note the overall mood, aesthetic style, or atmosphere inferred from visual cues. Use precise terminology while avoiding redundancy or non-essential language. Ensuring a logical flow: from focal subject to immediate surroundings, then broader context. Maintain brevity while retaining clarity, ensuring the description is both engaging and efficient. Output only enhanced prompt without explanation, prefix or suffix. Output as a simple text without formatting or numbering.' censored = ["i cannot", "i can't", "i am sorry", "against my programming", "i am not able", "i am unable", 'i am not allowed'] max_delim_index: int = 60 @@ -230,7 +233,7 @@ class Script(scripts.Script): filtered = re.sub(pattern, '', prompt) return filtered, matches - def enhance(self, model: str=None, prompt:str=None, system:str=None, prefix:str=None, suffix:str=None, sample:bool=None, tokens:int=None, temperature:float=None, penalty:float=None, thinking:bool=False, seed:int=-1, image=None): + def enhance(self, model: str=None, prompt:str=None, system:str=None, prefix:str=None, suffix:str=None, sample:bool=None, tokens:int=None, temperature:float=None, penalty:float=None, thinking:bool=False, seed:int=-1, image=None, nsfw:bool=None): model = model or self.options.default prompt = prompt or self.prompt.value image = image or self.image @@ -258,13 +261,18 @@ class Script(scripts.Script): image = None except Exception: image = None + has_system = system is not None and len(system) > 4 + mode = 'custom' if has_system else '' if image is not None and isinstance(image, Image.Image): if not self.tokenizer.is_processor: shared.log.error('Prompt enhance: image not supported by model') return prompt if prompt is not None and len(prompt) > 0: - mode = 'i2i+p' - system = system or self.options.image_prompt + if not has_system: + mode = 'i2i-prompt' + system = self.options.i2i_prompt + system += self.options.nsfw_ok if nsfw else self.options.nsfw_no + system += self.options.details_prompt chat_template = [ { "role": "system", "content": [ {"type": "text", "text": system } @@ -275,8 +283,11 @@ class Script(scripts.Script): ] }, ] else: - mode = 'i2i-p' - system = system or self.options.image_noprompt + if not has_system: + mode = 'i2i-noprompt' + system = self.options.i2i_noprompt + system += self.options.nsfw_ok if nsfw else self.options.nsfw_no + system += self.options.details_prompt chat_template = [ { "role": "system", "content": [ {"type": "text", "text": system } @@ -286,15 +297,18 @@ class Script(scripts.Script): ] }, ] else: - system = system or self.options.system_prompt + if not has_system: + system = self.options.t2i_prompt + system += self.options.nsfw_ok if nsfw else self.options.nsfw_no + system += self.options.details_prompt if not self.tokenizer.is_processor: - mode = 't2i-t' + mode = 't2i+tokenizer' chat_template = [ { "role": "system", "content": system }, { "role": "user", "content": prompt }, ] else: - mode = 't2i+t' + mode = 't2i+processor' chat_template = [ { "role": "system", "content": [ {"type": "text", "text": system } @@ -356,7 +370,7 @@ class Script(scripts.Script): if not is_censored: response = self.clean(response) response = self.post(response, prefix, suffix, networks) - shared.log.info(f'Prompt enhance: model="{model}" mode="{mode}" time={t1-t0:.2f} inputs={input_len} outputs={outputs.shape[-1]} prompt={len(prompt)} response={len(response)}') + shared.log.info(f'Prompt enhance: model="{model}" mode="{mode}" nsfw={nsfw} time={t1-t0:.2f} inputs={input_len} outputs={outputs.shape[-1]} prompt={len(prompt)} response={len(response)}') if debug_enabled: shared.log.trace(f'Prompt enhance: sample={sample} tokens={tokens} temperature={temperature} penalty={penalty} thinking={thinking}') shared.log.trace(f'Prompt enhance: prompt="{prompt}"') @@ -430,6 +444,7 @@ class Script(scripts.Script): temperature = gr.Slider(label='Temperature', value=self.options.temperature, minimum=0.0, maximum=1.0, step=0.01, interactive=True) repetition_penalty = gr.Slider(label='Repetition penalty', value=self.options.repetition_penalty, minimum=0.0, maximum=2.0, step=0.01, interactive=True) with gr.Row(): + nsfw_mode = gr.Checkbox(label='NSFW allowed', value=True, interactive=True) thinking_mode = gr.Checkbox(label='Thinking mode', value=False, interactive=True) gr.HTML('
') with gr.Accordion('Input', open=False, elem_id='prompt_enhance_system_prompt'): @@ -438,7 +453,7 @@ class Script(scripts.Script): with gr.Row(): prompt_suffix = gr.Textbox(label='Prompt suffix', value='', placeholder='Optional prompt suffix', interactive=True, lines=2, elem_id='prompt_enhance_suffix') with gr.Row(): - prompt_system = gr.Textbox(label='System prompt', value=self.options.system_prompt, interactive=True, lines=4, elem_id='prompt_enhance_system') + prompt_system = gr.Textbox(label='System prompt', value='', interactive=True, lines=4, elem_id='prompt_enhance_system') with gr.Accordion('Output', open=True, elem_id='prompt_enhance_system_prompt'): with gr.Row(): prompt_output = gr.Textbox(label='Enhanced prompt', value='', interactive=True, lines=4) @@ -449,8 +464,8 @@ class Script(scripts.Script): copy_btn.click(fn=lambda x: x, inputs=[prompt_output], outputs=[self.prompt]) if self.image is None: self.image = gr.Image(type='pil', interactive=False, visible=False, width=64, height=64) # dummy image - apply_btn.click(fn=self.apply, inputs=[self.prompt, self.image, apply_prompt, llm_model, prompt_system, prompt_prefix, prompt_suffix, max_tokens, do_sample, temperature, repetition_penalty, thinking_mode], outputs=[prompt_output, self.prompt]) - return [self.prompt, self.image, apply_auto, llm_model, prompt_system, prompt_prefix, prompt_suffix, max_tokens, do_sample, temperature, repetition_penalty, thinking_mode] + apply_btn.click(fn=self.apply, inputs=[self.prompt, self.image, apply_prompt, llm_model, prompt_system, prompt_prefix, prompt_suffix, max_tokens, do_sample, temperature, repetition_penalty, thinking_mode, nsfw_mode], outputs=[prompt_output, self.prompt]) + return [self.prompt, self.image, apply_auto, llm_model, prompt_system, prompt_prefix, prompt_suffix, max_tokens, do_sample, temperature, repetition_penalty, thinking_mode, nsfw_mode] def after_component(self, component, **kwargs): # searching for actual ui prompt components if getattr(component, 'elem_id', '') in ['txt2img_prompt', 'img2img_prompt', 'control_prompt', 'video_prompt']: @@ -459,7 +474,7 @@ class Script(scripts.Script): self.image = component def before_process(self, p: processing.StableDiffusionProcessing, *args, **kwargs): # pylint: disable=unused-argument - _self_prompt, self_image, apply_auto, llm_model, prompt_system, prompt_prefix, prompt_suffix, max_tokens, do_sample, temperature, repetition_penalty, thinking_mode = args + _self_prompt, self_image, apply_auto, llm_model, prompt_system, prompt_prefix, prompt_suffix, max_tokens, do_sample, temperature, repetition_penalty, thinking_mode, nsfw_mode = args if not apply_auto and not p.enhance_prompt: return if shared.state.skipped or shared.state.interrupted: @@ -481,6 +496,7 @@ class Script(scripts.Script): temperature=temperature, penalty=repetition_penalty, thinking=thinking_mode, + nsfw=nsfw_mode, ) p.extra_generation_params['LLM'] = llm_model shared.state.end() From b23aed746d42e9ae1665f793111943f89c79cac0 Mon Sep 17 00:00:00 2001 From: Vladimir Mandic Date: Mon, 12 May 2025 20:33:12 -0400 Subject: [PATCH 02/18] update changelog Signed-off-by: Vladimir Mandic --- CHANGELOG.md | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 5d1d4cc74..824a6118b 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -10,8 +10,10 @@ From slowest 0.02 it/s running on 6th gen CPU without acceleration up to 275 it/ - Updates for: *WSL, ZLUDA, ROCm* - **Compute** - NNCF: added experimental support for direct INT8 MatMul -- **Feature** +- **Feature** - Prompt Enhance: option to allow/disallow NSFW content +- **Fixes** + - OpenVINO: force cpu device ## Update for 2025-05-12 From f1eefe97a49ccb40006bc5a9903c522e5d4359d2 Mon Sep 17 00:00:00 2001 From: Disty0 Date: Tue, 13 May 2025 03:49:30 +0300 Subject: [PATCH 03/18] NNCF use inplace ops --- modules/model_quant_nncf.py | 24 +++++++++--------------- 1 file changed, 9 insertions(+), 15 deletions(-) diff --git a/modules/model_quant_nncf.py b/modules/model_quant_nncf.py index 81b0b7d55..34c40e38e 100644 --- a/modules/model_quant_nncf.py +++ b/modules/model_quant_nncf.py @@ -408,25 +408,25 @@ def quantize_int(weight: torch.FloatTensor, scale: torch.FloatTensor, zero_point level_low = 0 if is_asym_mode else -(2 ** (num_bits - 1)) level_high = 2**num_bits - 1 if is_asym_mode else 2 ** (num_bits - 1) - 1 - compressed_weight = weight / scale + compressed_weight = torch.div(weight, scale) if zero_point is not None: - compressed_weight += zero_point + compressed_weight.add_(zero_point) - compressed_weight = torch.round(compressed_weight).clamp_(level_low, level_high).to(dtype) + compressed_weight = compressed_weight.round_().clamp_(level_low, level_high).to(dtype) if flatten: compressed_weight = compressed_weight.flatten(0,-2) return compressed_weight def decompress_asymmetric(input: torch.Tensor, scale: torch.Tensor, zero_point: torch.Tensor, dtype: torch.dtype, result_shape: torch.Size) -> torch.Tensor: - result = torch.mul(torch.sub(input.to(dtype=scale.dtype), zero_point), scale).to(dtype=dtype) + result = input.to(dtype=scale.dtype).sub_(zero_point).mul_(scale).to(dtype=dtype) if result_shape is not None: result = result.reshape(result_shape) return result def decompress_symmetric(input: torch.Tensor, scale: torch.Tensor, dtype: torch.dtype, result_shape: torch.Size) -> torch.Tensor: - result = torch.mul(input.to(dtype=scale.dtype), scale).to(dtype=dtype) + result = input.to(dtype=scale.dtype).mul_(scale).to(dtype=dtype) if result_shape is not None: result = result.reshape(result_shape) return result @@ -463,7 +463,7 @@ def unpack_uint4(packed_tensor: torch.Tensor, shape: torch.Size, transpose: Opti def unpack_int4(packed_tensor: torch.Tensor, shape: torch.Size, dtype: Optional[torch.dtype] = torch.int8, transpose: Optional[bool] = False) -> torch.Tensor: - result = unpack_uint4(packed_tensor, shape).to(dtype=dtype) - 8 + result = unpack_uint4(packed_tensor, shape).to(dtype=dtype).sub_(8) if transpose: result = result.transpose(0,1) return result @@ -483,9 +483,8 @@ def int8_matmul( weight: torch.Tensor, scale: torch.Tensor, compressed_weight_shape: torch.Size, - num_bits: int, ): - if num_bits == 4: + if compressed_weight_shape is not None: weight = unpack_int4_compiled(weight, compressed_weight_shape, transpose=True) return_dtype = input.dtype @@ -500,14 +499,9 @@ class linear_forward_int8_matmul(): def __func__(self, input) -> torch.FloatTensor: if self.pre_ops["0"].skip_int8_matmul: return torch.nn.Linear.forward(self, input) - - num_bits = self.pre_ops["0"].num_bits - scale = self.pre_ops["0"].scale - compressed_weight_shape = self.pre_ops["0"].compressed_weight_shape if num_bits == 4 else None - result = int8_matmul(input, self.weight, scale, compressed_weight_shape, num_bits) - + result = int8_matmul(input, self.weight, self.pre_ops["0"].scale, getattr(self.pre_ops["0"], "compressed_weight_shape", None)) if self.bias is not None: - result = result + self.bias + result.add_(self.bias) return result From 129c701b3d3efd1b0878ab1daa139ea8cc65b9e2 Mon Sep 17 00:00:00 2001 From: Disty0 Date: Tue, 13 May 2025 04:28:37 +0300 Subject: [PATCH 04/18] NNCF use torch.compile directly on int8_matmul instead of sub functions --- modules/model_quant_nncf.py | 9 +++++++-- 1 file changed, 7 insertions(+), 2 deletions(-) diff --git a/modules/model_quant_nncf.py b/modules/model_quant_nncf.py index 34c40e38e..5c830d161 100644 --- a/modules/model_quant_nncf.py +++ b/modules/model_quant_nncf.py @@ -667,8 +667,13 @@ if shared.opts.nncf_decompress_compile: decompress_int4_asymmetric_compiled = torch.compile(decompress_int4_asymmetric, fullgraph=True) decompress_int4_symmetric_compiled = torch.compile(decompress_int4_symmetric, fullgraph=True) - quantize_int8_matmul_input_compiled = torch.compile(quantize_int8_matmul_input, fullgraph=True) - unpack_int4_compiled = torch.compile(unpack_int4, fullgraph=True) + if devices.backend != "ipex": # pytorch uses the cpu device in torch._int_mm op with ipex + torch.compile + int8_matmul = torch.compile(int8_matmul, fullgraph=True) + quantize_int8_matmul_input_compiled = quantize_int8_matmul_input + unpack_int4_compiled = unpack_int4 + else: + quantize_int8_matmul_input_compiled = torch.compile(quantize_int8_matmul_input, fullgraph=True) + unpack_int4_compiled = torch.compile(unpack_int4, fullgraph=True) except Exception as e: shared.log.warning(f"Quantization: type=nncf Decompress using torch.compile is not available: {e}") decompress_asymmetric_compiled = decompress_asymmetric From b9ad55857d8c17ee2cec5db05930a4835fbf9eba Mon Sep 17 00:00:00 2001 From: Disty0 Date: Tue, 13 May 2025 05:08:22 +0300 Subject: [PATCH 05/18] NNCF INT8 MatMul don't force FP32 with FP16 scales --- modules/model_quant_nncf.py | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/modules/model_quant_nncf.py b/modules/model_quant_nncf.py index 5c830d161..206fb9cf3 100644 --- a/modules/model_quant_nncf.py +++ b/modules/model_quant_nncf.py @@ -472,9 +472,7 @@ def unpack_int4(packed_tensor: torch.Tensor, shape: torch.Size, dtype: Optional[ def quantize_int8_matmul_input(input: torch.FloatTensor, scale: torch.FloatTensor) -> Tuple[torch.ByteTensor, torch.FloatTensor]: input_scale = torch.div(input.abs().max(), 127) input = torch.div(input, input_scale).round_().clamp_(-128, 127).to(torch.int8).flatten(0,-2) - - scale_dtype = torch.float32 if input.dtype == torch.float16 else torch.bfloat16 - scale = torch.mul(input_scale.to(dtype=scale_dtype), scale.to(dtype=scale_dtype)) + scale = torch.mul(input_scale, scale) return input, scale From 4e4557d81c57128a9d847b19463b1ed67dd7c8d8 Mon Sep 17 00:00:00 2001 From: Disty0 Date: Tue, 13 May 2025 18:50:23 +0300 Subject: [PATCH 06/18] NNCF set min matmul shape to 32 --- modules/model_quant_nncf.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/modules/model_quant_nncf.py b/modules/model_quant_nncf.py index 206fb9cf3..e78f49a3f 100644 --- a/modules/model_quant_nncf.py +++ b/modules/model_quant_nncf.py @@ -64,7 +64,7 @@ def nncf_compress_layer(layer, num_bits, is_asym_mode, torch_dtype=None, quant_c else: reduction_axes = -1 channel_size = layer.weight.shape[-1] - use_int8_matmul = use_int8_matmul and not is_asym_mode and channel_size >= 1024 and layer.weight.shape[0] >= 1024 + use_int8_matmul = use_int8_matmul and not is_asym_mode and channel_size >= 32 and layer.weight.shape[0] >= 32 if not use_int8_matmul and (group_size > 0 or (num_bits == 4 and group_size != -1)): if group_size == 0: From bfda37903c38d8cc5d642644216e4f2ff185de11 Mon Sep 17 00:00:00 2001 From: Vladimir Mandic Date: Tue, 13 May 2025 12:07:35 -0400 Subject: [PATCH 07/18] update nncf linting and changelog Signed-off-by: Vladimir Mandic --- CHANGELOG.md | 7 ++- modules/model_quant.py | 8 ++-- modules/model_quant_nncf.py | 91 ++++++++++++++----------------------- wiki | 2 +- 4 files changed, 45 insertions(+), 63 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 824a6118b..0631a919d 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,13 +1,16 @@ # Change Log for SD.Next -## Update for 2025-05-12 +## Update for 2025-05-13 Curious how your system is performing? Run a built-in benchmark and compare to over 15k unique results world-wide: (Benchmark data)[https://vladmandic.github.io/sd-extension-system-info/pages/benchmark.html]! From slowest 0.02 it/s running on 6th gen CPU without acceleration up to 275 it/s running on tuned GH100 system! +Also, since quantization is becoming a necessity for almost all new models, see comparison of different quantization methods available in SD.Next: [Quantization](https://vladmandic.github.io/sdnext-docs/Quantization/) +*Hint*: Even if you may not need quantization for your current model, it may be worth trying it out as it can significantly improve performance! + - **Wiki** - - Updates for: *WSL, ZLUDA, ROCm* + - Updates for: *Quantization, WSL, ZLUDA, ROCm* - **Compute** - NNCF: added experimental support for direct INT8 MatMul - **Feature** diff --git a/modules/model_quant.py b/modules/model_quant.py index 8414ae91b..a63123b34 100644 --- a/modules/model_quant.py +++ b/modules/model_quant.py @@ -111,7 +111,6 @@ def create_nncf_config(kwargs = None, allow_nncf: bool = True, module: str = 'Mo load_nncf(silent=True) if intel_nncf is None: return kwargs - from modules.model_quant_nncf import NNCFQuantizer, NNCFConfig diffusers.quantizers.auto.AUTO_QUANTIZER_MAPPING["nncf"] = NNCFQuantizer transformers.quantizers.auto.AUTO_QUANTIZER_MAPPING["nncf"] = NNCFQuantizer @@ -269,12 +268,12 @@ def load_nncf(msg='', silent=False): log.warning('Quantization: nncf installed please restart') install('jstyleson', quiet=True) install('texttable', quiet=True) + install('tabulate', quiet=True) try: import nncf intel_nncf = nncf try: - # silence the pytorch version warning - nncf.common.logging.logger.warn_bkc_version_mismatch = lambda *args, **kwargs: None + nncf.common.logging.logger.warn_bkc_version_mismatch = lambda *args, **kwargs: None # silence the pytorch version warning except Exception: pass fn = f'{sys._getframe(2).f_code.co_name}:{sys._getframe(1).f_code.co_name}' # pylint: disable=protected-access @@ -328,7 +327,8 @@ def apply_layerwise(sd_model, quiet:bool=False): m.quantization_method = quantization_config.QuantizationMethod.LAYERWISE # pylint: disable=no-member log.quiet(quiet, f'Quantization: type=layerwise module={module} cls={cls} storage={storage_dtype} compute={devices.dtype} blocking={not non_blocking}') except Exception as e: - log.error(f'Quantization: type=layerwise {e}') + if 'Hook with name' not in str(e): + log.error(f'Quantization: type=layerwise {e}') def nncf_compress_model(model, op=None, sd_model=None, do_gc=True): diff --git a/modules/model_quant_nncf.py b/modules/model_quant_nncf.py index e78f49a3f..15b9cc688 100644 --- a/modules/model_quant_nncf.py +++ b/modules/model_quant_nncf.py @@ -1,28 +1,23 @@ from typing import Any, Dict, List, Tuple, Optional, Union from dataclasses import dataclass from enum import Enum - import os import torch from diffusers.quantizers.base import DiffusersQuantizer from diffusers.quantizers.quantization_config import QuantizationConfigMixin from diffusers.utils import get_module_from_name - from accelerate import init_empty_weights from accelerate.utils import CustomDtype - from modules import devices, shared debug = os.environ.get('SD_QUANT_DEBUG', None) is not None - torch_dtype_dict = { "int8": torch.int8, "uint8": torch.uint8, "int4": CustomDtype.INT4, "uint4": CustomDtype.INT4, } - weights_dtype_dict = { "int8_asym": "uint8", "int8_sym": "int8", @@ -31,26 +26,24 @@ weights_dtype_dict = { "int8": "uint8", "int4": "uint4", } - linear_types = ["NNCFLinear", "Linear"] conv_types = ["NNCFConv1d", "NNCFConv2d", "NNCFConv3d", "Conv1d", "Conv2d", "Conv3d"] conv_transpose_types = ["NNCFConvTranspose1d", "NNCFConvTranspose2d", "NNCFConvTranspose3d", "ConvTranspose1d", "ConvTranspose2d", "ConvTranspose3d"] - allowed_types = [] allowed_types.extend(linear_types) allowed_types.extend(conv_types) allowed_types.extend(conv_transpose_types) + class QuantizationMethod(str, Enum): NNCF = "nncf" -def nncf_compress_layer(layer, num_bits, is_asym_mode, torch_dtype=None, quant_conv=False, group_size=0, use_int8_matmul=False, param_name=None): +def nncf_compress_layer(layer, num_bits, is_asym_mode, torch_dtype=None, quant_conv=False, group_size=0, use_int8_matmul=False, param_name=None): # pylint: disable=unused-argument if layer.__class__.__name__ in allowed_types: if torch_dtype is None: torch_dtype = devices.dtype result_shape = None - if layer.__class__.__name__ in conv_types: if is_asym_mode or not quant_conv: # don't quant convs with asym mode return layer @@ -70,7 +63,6 @@ def nncf_compress_layer(layer, num_bits, is_asym_mode, torch_dtype=None, quant_c if group_size == 0: group_size = 64 num_of_groups = channel_size // group_size - if group_size >= channel_size: group_size = channel_size num_of_groups = 1 @@ -103,19 +95,17 @@ def nncf_compress_layer(layer, num_bits, is_asym_mode, torch_dtype=None, quant_c scale = get_int_scale_symmetric(layer.weight, reduction_axes, num_bits) zero_point = None compressed_weight = quantize_int(layer.weight, scale, zero_point, is_asym_mode, num_bits) - if not shared.opts.nncf_decompress_fp32: scale = scale.to(torch_dtype) if zero_point is not None: zero_point = zero_point.to(torch_dtype) - if use_int8_matmul: - layer._custom_forward_fn = linear_forward_int8_matmul + layer._custom_forward_fn = linear_forward_int8_matmul # pylint: disable=protected-access scale = scale.squeeze(-1) if num_bits == 8: compressed_weight = compressed_weight.transpose(0,1) else: - layer._custom_forward_fn = None + layer._custom_forward_fn = None # pylint: disable=protected-access if num_bits == 4: if is_asym_mode: @@ -151,13 +141,10 @@ def nncf_compress_layer(layer, num_bits, is_asym_mode, torch_dtype=None, quant_c result_shape=result_shape, use_int8_matmul=use_int8_matmul, ) - compressed_weight = decompressor.pack_weight(compressed_weight) compressed_weight = compressed_weight.to(return_device) - decompressor = decompressor.to(return_device) layer.register_pre_forward_operation(decompressor) - layer.weight.requires_grad = False layer.weight.data = compressed_weight return layer @@ -201,8 +188,9 @@ class NNCFQuantizer(DiffusersQuantizer): use_keep_in_fp32_modules = True requires_calibration = False required_packages = ["nncf"] + torch_dtype = None - def __init__(self, quantization_config, **kwargs): + def __init__(self, quantization_config, **kwargs): # pylint: disable=useless-parent-delegation super().__init__(quantization_config, **kwargs) def check_if_quantized_param( @@ -213,7 +201,7 @@ class NNCFQuantizer(DiffusersQuantizer): state_dict: Dict[str, Any], **kwargs, ): - module, tensor_name = get_module_from_name(model, param_name) + module, _tensor_name = get_module_from_name(model, param_name) return module.__class__.__name__.startswith("NNCF") and param_name.endswith(".weight") def check_quantized_param(self, *args, **kwargs) -> bool: @@ -222,19 +210,19 @@ class NNCFQuantizer(DiffusersQuantizer): """ return self.check_if_quantized_param(*args, **kwargs) - def create_quantized_param( + def create_quantized_param( # pylint: disable=arguments-differ self, model, param_value: "torch.Tensor", param_name: str, target_device: "torch.device", - state_dict: Dict[str, Any], - unexpected_keys: List[str], + state_dict: Dict[str, Any], # pylint: disable=unused-argument + unexpected_keys: List[str], # pylint: disable=unused-argument **kwargs, ): # load the model params to target_device first layer, tensor_name = get_module_from_name(model, param_name) - layer._parameters[tensor_name] = torch.nn.Parameter(param_value).to(device=target_device) + layer._parameters[tensor_name] = torch.nn.Parameter(param_value).to(device=target_device) # pylint: disable=protected-access split_param_name = param_name.split(".") if param_name not in self.modules_to_not_convert and not any(param in split_param_name for param in self.modules_to_not_convert): @@ -252,7 +240,7 @@ class NNCFQuantizer(DiffusersQuantizer): max_memory = {key: val * 0.70 for key, val in max_memory.items()} return max_memory - def adjust_target_dtype(self, target_dtype: "torch.dtype") -> "torch.dtype": + def adjust_target_dtype(self, target_dtype: "torch.dtype") -> "torch.dtype": # pylint: disable=unused-argument,arguments-renamed return torch_dtype_dict[self.quantization_config.weights_dtype] def update_torch_dtype(self, torch_dtype: "torch.dtype" = None) -> "torch.dtype": @@ -261,10 +249,10 @@ class NNCFQuantizer(DiffusersQuantizer): self.torch_dtype = torch_dtype return torch_dtype - def _process_model_before_weight_loading( + def _process_model_before_weight_loading( # pylint: disable=arguments-differ self, model, - device_map, + device_map, # pylint: disable=unused-argument keep_in_fp32_modules: List[str] = [], **kwargs, ): @@ -289,19 +277,19 @@ class NNCFQuantizer(DiffusersQuantizer): """ return config - def update_unexpected_keys(self, model, unexpected_keys: List[str], prefix: str) -> List[str]: + def update_unexpected_keys(self, model, unexpected_keys: List[str], prefix: str) -> List[str]: # pylint: disable=unused-argument """ needed for transformers compatibilty, no-op function """ return unexpected_keys - def update_missing_keys_after_loading(self, model, missing_keys: List[str], prefix: str) -> List[str]: + def update_missing_keys_after_loading(self, model, missing_keys: List[str], prefix: str) -> List[str]: # pylint: disable=unused-argument """ needed for transformers compatibilty, no-op function """ return missing_keys - def update_expected_keys(self, model, expected_keys: List[str], loaded_keys: List[str]) -> List[str]: + def update_expected_keys(self, model, expected_keys: List[str], loaded_keys: List[str]) -> List[str]: # pylint: disable=unused-argument """ needed for transformers compatibilty, no-op function """ @@ -336,7 +324,7 @@ class NNCFConfig(QuantizationConfigMixin): group_size: int = 0, use_int8_matmul: bool = False, modules_to_not_convert: Optional[List[str]] = None, - **kwargs, + **kwargs, # pylint: disable=unused-argument ): self.quant_method = QuantizationMethod.NNCF self.weights_dtype = weights_dtype_dict[weights_dtype.lower()] @@ -385,11 +373,10 @@ def get_int_scale_asymmetric(weight: torch.FloatTensor, reduction_axes: List[int min_values = torch.amin(weight, dim=reduction_axes, keepdims=True) max_values = torch.amax(weight, dim=reduction_axes, keepdims=True) - scale = ((max_values - min_values) / (level_high - 1)) - + scale = (max_values - min_values) / (level_high - 1) eps = torch.finfo(scale.dtype).eps # prevent divison by 0 scale = torch.where(torch.abs(scale) < eps, eps, scale) - zero_point = (level_low - (min_values / scale)) + zero_point = level_low - (min_values / scale) return scale, zero_point @@ -397,7 +384,6 @@ def get_int_scale_symmetric(weight: torch.FloatTensor, reduction_axes: List[int] w_abs_min = torch.abs(torch.amin(weight, dim=reduction_axes, keepdims=True)) w_max = torch.amax(weight, dim=reduction_axes, keepdims=True) scale = torch.where(w_abs_min >= w_max, w_abs_min, -w_max) / (2 ** (num_bits - 1)) - eps = torch.finfo(scale.dtype).eps # prevent divison by 0 scale = torch.where(torch.abs(scale) < eps, eps, scale) return scale @@ -484,20 +470,23 @@ def int8_matmul( ): if compressed_weight_shape is not None: weight = unpack_int4_compiled(weight, compressed_weight_shape, transpose=True) - return_dtype = input.dtype output_shape = list(input.shape) output_shape[-1] = weight.shape[-1] - input, scale = quantize_int8_matmul_input_compiled(input, scale) - return decompress_symmetric_compiled(torch._int_mm(input, weight), scale, return_dtype, output_shape) + return decompress_symmetric_compiled(torch._int_mm(input, weight), scale, return_dtype, output_shape) # pylint: disable=protected-access class linear_forward_int8_matmul(): def __func__(self, input) -> torch.FloatTensor: if self.pre_ops["0"].skip_int8_matmul: return torch.nn.Linear.forward(self, input) - result = int8_matmul(input, self.weight, self.pre_ops["0"].scale, getattr(self.pre_ops["0"], "compressed_weight_shape", None)) + + num_bits = self.pre_ops["0"].num_bits + scale = self.pre_ops["0"].scale + compressed_weight_shape = self.pre_ops["0"].compressed_weight_shape if num_bits == 4 else None + result = int8_matmul(input, self.weight, scale, compressed_weight_shape, num_bits) + if self.bias is not None: result.add_(self.bias) return result @@ -510,12 +499,11 @@ class INT8AsymmetricWeightsDecompressor(torch.nn.Module): zero_point: torch.Tensor, result_dtype: torch.dtype, result_shape: torch.Size, - use_int8_matmul: bool, + use_int8_matmul: bool, # pylint: disable=unused-argument ): super().__init__() self.num_bits = 8 self.quantization_mode = "asymmetric" - self.scale = scale self.zero_point = zero_point self.result_dtype = result_dtype @@ -527,7 +515,7 @@ class INT8AsymmetricWeightsDecompressor(torch.nn.Module): raise ValueError("Weight values are not in [0, 255].") return weight.to(dtype=torch.uint8) - def forward(self, x, input=None, *args, return_decompressed_only=False): + def forward(self, x, input=None, *args, return_decompressed_only=False): # pylint: disable=keyword-arg-before-vararg result = decompress_asymmetric_compiled(x.weight, self.scale, self.zero_point, self.result_dtype, self.result_shape) if return_decompressed_only: return result @@ -546,11 +534,9 @@ class INT8SymmetricWeightsDecompressor(torch.nn.Module): super().__init__() self.num_bits = 8 self.quantization_mode = "symmetric" - self.scale = scale self.result_dtype = result_dtype self.result_shape = result_shape - self.use_int8_matmul = use_int8_matmul self.skip_int8_matmul = False self.input_scale = None @@ -561,7 +547,7 @@ class INT8SymmetricWeightsDecompressor(torch.nn.Module): raise ValueError("Weight values are not in [-128, 127].") return weight.to(dtype=torch.int8) - def forward(self, x, input=None, *args, return_decompressed_only=False): + def forward(self, x, input=None, *args, return_decompressed_only=False): # pylint: disable=unused-argument,keyword-arg-before-vararg if self.use_int8_matmul: if input is not None: if torch.numel(input[0]) / input[0].shape[-1] < 32: @@ -586,7 +572,7 @@ class INT4AsymmetricWeightsDecompressor(torch.nn.Module): compressed_weight_shape: torch.Size, result_dtype: torch.dtype, result_shape: torch.Size, - use_int8_matmul: bool, + use_int8_matmul: bool, # pylint: disable=unused-argument ): super().__init__() self.num_bits = 4 @@ -604,7 +590,7 @@ class INT4AsymmetricWeightsDecompressor(torch.nn.Module): raise ValueError("Weight values are not in [0, 15].") return pack_uint4(weight.to(dtype=torch.uint8)) - def forward(self, x, input=None, *args, return_decompressed_only=False): + def forward(self, x, input=None, *args, return_decompressed_only=False): # pylint: disable=unused-argument,keyword-arg-before-vararg result = decompress_int4_asymmetric_compiled(x.weight, self.scale, self.zero_point, self.compressed_weight_shape, self.result_dtype, self.result_shape) if return_decompressed_only: return result @@ -640,7 +626,7 @@ class INT4SymmetricWeightsDecompressor(torch.nn.Module): raise ValueError("Tensor values are not in [-8, 7].") return pack_int4(weight.to(dtype=torch.int8)) - def forward(self, x, input=None, *arg, return_decompressed_only=False): + def forward(self, x, input=None, *arg, return_decompressed_only=False): # pylint: disable=keyword-arg-before-vararg,unused-argument if self.use_int8_matmul: if input is not None: if torch.numel(input[0]) / input[0].shape[-1] < 32: @@ -665,20 +651,14 @@ if shared.opts.nncf_decompress_compile: decompress_int4_asymmetric_compiled = torch.compile(decompress_int4_asymmetric, fullgraph=True) decompress_int4_symmetric_compiled = torch.compile(decompress_int4_symmetric, fullgraph=True) - if devices.backend != "ipex": # pytorch uses the cpu device in torch._int_mm op with ipex + torch.compile - int8_matmul = torch.compile(int8_matmul, fullgraph=True) - quantize_int8_matmul_input_compiled = quantize_int8_matmul_input - unpack_int4_compiled = unpack_int4 - else: - quantize_int8_matmul_input_compiled = torch.compile(quantize_int8_matmul_input, fullgraph=True) - unpack_int4_compiled = torch.compile(unpack_int4, fullgraph=True) + quantize_int8_matmul_input_compiled = torch.compile(quantize_int8_matmul_input, fullgraph=True) + unpack_int4_compiled = torch.compile(unpack_int4, fullgraph=True) except Exception as e: shared.log.warning(f"Quantization: type=nncf Decompress using torch.compile is not available: {e}") decompress_asymmetric_compiled = decompress_asymmetric decompress_symmetric_compiled = decompress_symmetric decompress_int4_asymmetric_compiled = decompress_int4_asymmetric decompress_int4_symmetric_compiled = decompress_int4_symmetric - quantize_int8_matmul_input_compiled = quantize_int8_matmul_input unpack_int4_compiled = unpack_int4 else: @@ -686,6 +666,5 @@ else: decompress_symmetric_compiled = decompress_symmetric decompress_int4_asymmetric_compiled = decompress_int4_asymmetric decompress_int4_symmetric_compiled = decompress_int4_symmetric - quantize_int8_matmul_input_compiled = quantize_int8_matmul_input unpack_int4_compiled = unpack_int4 diff --git a/wiki b/wiki index 12dbff5ca..de4133d2b 160000 --- a/wiki +++ b/wiki @@ -1 +1 @@ -Subproject commit 12dbff5ca440c62027a4a12685d5f4b73ea6532c +Subproject commit de4133d2bbeb4b58313ff47f9bd31ff0bbaa21b9 From f07c2e6117170046e34230acef3bebf5e4c7409f Mon Sep 17 00:00:00 2001 From: Vladimir Mandic Date: Tue, 13 May 2025 12:35:33 -0400 Subject: [PATCH 08/18] nncf-lint Signed-off-by: Vladimir Mandic --- modules/model_quant_nncf.py | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/modules/model_quant_nncf.py b/modules/model_quant_nncf.py index 15b9cc688..9474f3be5 100644 --- a/modules/model_quant_nncf.py +++ b/modules/model_quant_nncf.py @@ -1,3 +1,5 @@ +# pylint: disable=redefined-builtin,no-member + from typing import Any, Dict, List, Tuple, Optional, Union from dataclasses import dataclass from enum import Enum @@ -318,7 +320,7 @@ class NNCFConfig(QuantizationConfigMixin): modules left in their original precision (e.g. Whisper encoder, Llava encoder, Mixtral gate layers). """ - def __init__( + def __init__( # pylint: disable=super-init-not-called self, weights_dtype: str = "int8_sym", group_size: int = 0, @@ -467,6 +469,7 @@ def int8_matmul( weight: torch.Tensor, scale: torch.Tensor, compressed_weight_shape: torch.Size, + num_bits: int, # pylint: disable=unused-argument ): if compressed_weight_shape is not None: weight = unpack_int4_compiled(weight, compressed_weight_shape, transpose=True) @@ -515,7 +518,7 @@ class INT8AsymmetricWeightsDecompressor(torch.nn.Module): raise ValueError("Weight values are not in [0, 255].") return weight.to(dtype=torch.uint8) - def forward(self, x, input=None, *args, return_decompressed_only=False): # pylint: disable=keyword-arg-before-vararg + def forward(self, x, input=None, *args, return_decompressed_only=False): # pylint: disable=keyword-arg-before-vararg,unused-argument result = decompress_asymmetric_compiled(x.weight, self.scale, self.zero_point, self.result_dtype, self.result_shape) if return_decompressed_only: return result From 361e952a6458fbbd6a87eb3b1ee2fce089e88785 Mon Sep 17 00:00:00 2001 From: Disty0 Date: Wed, 14 May 2025 00:14:24 +0300 Subject: [PATCH 09/18] Cleanup --- modules/model_quant_nncf.py | 40 ++++++++++++++++--------------------- 1 file changed, 17 insertions(+), 23 deletions(-) diff --git a/modules/model_quant_nncf.py b/modules/model_quant_nncf.py index 9474f3be5..7fda85b84 100644 --- a/modules/model_quant_nncf.py +++ b/modules/model_quant_nncf.py @@ -46,6 +46,7 @@ def nncf_compress_layer(layer, num_bits, is_asym_mode, torch_dtype=None, quant_c if torch_dtype is None: torch_dtype = devices.dtype result_shape = None + if layer.__class__.__name__ in conv_types: if is_asym_mode or not quant_conv: # don't quant convs with asym mode return layer @@ -65,6 +66,7 @@ def nncf_compress_layer(layer, num_bits, is_asym_mode, torch_dtype=None, quant_c if group_size == 0: group_size = 64 num_of_groups = channel_size // group_size + if group_size >= channel_size: group_size = channel_size num_of_groups = 1 @@ -97,10 +99,12 @@ def nncf_compress_layer(layer, num_bits, is_asym_mode, torch_dtype=None, quant_c scale = get_int_scale_symmetric(layer.weight, reduction_axes, num_bits) zero_point = None compressed_weight = quantize_int(layer.weight, scale, zero_point, is_asym_mode, num_bits) + if not shared.opts.nncf_decompress_fp32: scale = scale.to(torch_dtype) if zero_point is not None: zero_point = zero_point.to(torch_dtype) + if use_int8_matmul: layer._custom_forward_fn = linear_forward_int8_matmul # pylint: disable=protected-access scale = scale.squeeze(-1) @@ -117,7 +121,6 @@ def nncf_compress_layer(layer, num_bits, is_asym_mode, torch_dtype=None, quant_c compressed_weight_shape=compressed_weight.shape, result_dtype=torch_dtype, result_shape=result_shape, - use_int8_matmul=use_int8_matmul, ) else: decompressor = INT4SymmetricWeightsDecompressor( @@ -134,7 +137,6 @@ def nncf_compress_layer(layer, num_bits, is_asym_mode, torch_dtype=None, quant_c zero_point=zero_point.data, result_dtype=torch_dtype, result_shape=result_shape, - use_int8_matmul=use_int8_matmul, ) else: decompressor = INT8SymmetricWeightsDecompressor( @@ -143,8 +145,8 @@ def nncf_compress_layer(layer, num_bits, is_asym_mode, torch_dtype=None, quant_c result_shape=result_shape, use_int8_matmul=use_int8_matmul, ) - compressed_weight = decompressor.pack_weight(compressed_weight) - compressed_weight = compressed_weight.to(return_device) + + compressed_weight = decompressor.pack_weight(compressed_weight).to(return_device) decompressor = decompressor.to(return_device) layer.register_pre_forward_operation(decompressor) layer.weight.requires_grad = False @@ -203,7 +205,7 @@ class NNCFQuantizer(DiffusersQuantizer): state_dict: Dict[str, Any], **kwargs, ): - module, _tensor_name = get_module_from_name(model, param_name) + module, _ = get_module_from_name(model, param_name) return module.__class__.__name__.startswith("NNCF") and param_name.endswith(".weight") def check_quantized_param(self, *args, **kwargs) -> bool: @@ -330,6 +332,8 @@ class NNCFConfig(QuantizationConfigMixin): ): self.quant_method = QuantizationMethod.NNCF self.weights_dtype = weights_dtype_dict[weights_dtype.lower()] + self.group_size = group_size + self.use_int8_matmul = use_int8_matmul self.modules_to_not_convert = modules_to_not_convert self.post_init() @@ -337,8 +341,6 @@ class NNCFConfig(QuantizationConfigMixin): self.num_bits = 8 if self.weights_dtype in {"int8", "uint8"} else 4 self.is_asym_mode = self.weights_dtype in {"uint8", "uint4"} self.is_integer = True - self.group_size = group_size - self.use_int8_matmul = use_int8_matmul def post_init(self): r""" @@ -372,7 +374,6 @@ class NNCF_T5DenseGatedActDense(torch.nn.Module): # forward can't find what self def get_int_scale_asymmetric(weight: torch.FloatTensor, reduction_axes: List[int], num_bits: int) -> Tuple[torch.FloatTensor, torch.FloatTensor]: level_low = 0 level_high = 2**num_bits - min_values = torch.amin(weight, dim=reduction_axes, keepdims=True) max_values = torch.amax(weight, dim=reduction_axes, keepdims=True) scale = (max_values - min_values) / (level_high - 1) @@ -469,7 +470,6 @@ def int8_matmul( weight: torch.Tensor, scale: torch.Tensor, compressed_weight_shape: torch.Size, - num_bits: int, # pylint: disable=unused-argument ): if compressed_weight_shape is not None: weight = unpack_int4_compiled(weight, compressed_weight_shape, transpose=True) @@ -484,12 +484,7 @@ class linear_forward_int8_matmul(): def __func__(self, input) -> torch.FloatTensor: if self.pre_ops["0"].skip_int8_matmul: return torch.nn.Linear.forward(self, input) - - num_bits = self.pre_ops["0"].num_bits - scale = self.pre_ops["0"].scale - compressed_weight_shape = self.pre_ops["0"].compressed_weight_shape if num_bits == 4 else None - result = int8_matmul(input, self.weight, scale, compressed_weight_shape, num_bits) - + result = int8_matmul(input, self.weight, self.pre_ops["0"].scale, getattr(self.pre_ops["0"], "compressed_weight_shape", None)) if self.bias is not None: result.add_(self.bias) return result @@ -502,7 +497,6 @@ class INT8AsymmetricWeightsDecompressor(torch.nn.Module): zero_point: torch.Tensor, result_dtype: torch.dtype, result_shape: torch.Size, - use_int8_matmul: bool, # pylint: disable=unused-argument ): super().__init__() self.num_bits = 8 @@ -575,12 +569,10 @@ class INT4AsymmetricWeightsDecompressor(torch.nn.Module): compressed_weight_shape: torch.Size, result_dtype: torch.dtype, result_shape: torch.Size, - use_int8_matmul: bool, # pylint: disable=unused-argument ): super().__init__() self.num_bits = 4 self.quantization_mode = "asymmetric" - self.scale = scale self.zero_point = zero_point self.compressed_weight_shape = compressed_weight_shape @@ -613,12 +605,10 @@ class INT4SymmetricWeightsDecompressor(torch.nn.Module): super().__init__() self.num_bits = 4 self.quantization_mode = "symmetric" - self.scale = scale self.compressed_weight_shape = compressed_weight_shape self.result_dtype = result_dtype self.result_shape = result_shape - self.use_int8_matmul = use_int8_matmul self.skip_int8_matmul = False self.input_scale = None @@ -653,9 +643,13 @@ if shared.opts.nncf_decompress_compile: decompress_symmetric_compiled = torch.compile(decompress_symmetric, fullgraph=True) decompress_int4_asymmetric_compiled = torch.compile(decompress_int4_asymmetric, fullgraph=True) decompress_int4_symmetric_compiled = torch.compile(decompress_int4_symmetric, fullgraph=True) - - quantize_int8_matmul_input_compiled = torch.compile(quantize_int8_matmul_input, fullgraph=True) - unpack_int4_compiled = torch.compile(unpack_int4, fullgraph=True) + if devices.backend != "ipex": # pytorch uses the cpu device in torch._int_mm op with ipex + torch.compile + int8_matmul = torch.compile(int8_matmul, fullgraph=True) + quantize_int8_matmul_input_compiled = quantize_int8_matmul_input + unpack_int4_compiled = unpack_int4 + else: + quantize_int8_matmul_input_compiled = torch.compile(quantize_int8_matmul_input, fullgraph=True) + unpack_int4_compiled = torch.compile(unpack_int4, fullgraph=True) except Exception as e: shared.log.warning(f"Quantization: type=nncf Decompress using torch.compile is not available: {e}") decompress_asymmetric_compiled = decompress_asymmetric From 115d81cc8c0226461e0c689e407a3bdad5a23887 Mon Sep 17 00:00:00 2001 From: Disty0 Date: Wed, 14 May 2025 00:58:33 +0300 Subject: [PATCH 10/18] NNCF change zero_point formula and use torch.addcmul on decompress_asym --- modules/model_quant_nncf.py | 18 +++++++----------- 1 file changed, 7 insertions(+), 11 deletions(-) diff --git a/modules/model_quant_nncf.py b/modules/model_quant_nncf.py index 7fda85b84..361acf789 100644 --- a/modules/model_quant_nncf.py +++ b/modules/model_quant_nncf.py @@ -372,14 +372,11 @@ class NNCF_T5DenseGatedActDense(torch.nn.Module): # forward can't find what self def get_int_scale_asymmetric(weight: torch.FloatTensor, reduction_axes: List[int], num_bits: int) -> Tuple[torch.FloatTensor, torch.FloatTensor]: - level_low = 0 - level_high = 2**num_bits - min_values = torch.amin(weight, dim=reduction_axes, keepdims=True) + zero_point = torch.amin(weight, dim=reduction_axes, keepdims=True) max_values = torch.amax(weight, dim=reduction_axes, keepdims=True) - scale = (max_values - min_values) / (level_high - 1) + scale = (max_values - zero_point) / (2**num_bits - 1) eps = torch.finfo(scale.dtype).eps # prevent divison by 0 scale = torch.where(torch.abs(scale) < eps, eps, scale) - zero_point = level_low - (min_values / scale) return scale, zero_point @@ -396,11 +393,10 @@ def quantize_int(weight: torch.FloatTensor, scale: torch.FloatTensor, zero_point dtype = torch.uint8 if is_asym_mode else torch.int8 level_low = 0 if is_asym_mode else -(2 ** (num_bits - 1)) level_high = 2**num_bits - 1 if is_asym_mode else 2 ** (num_bits - 1) - 1 - - compressed_weight = torch.div(weight, scale) if zero_point is not None: - compressed_weight.add_(zero_point) - + compressed_weight = torch.sub(weight, zero_point).div_(scale) + else: + compressed_weight = torch.div(weight, scale) compressed_weight = compressed_weight.round_().clamp_(level_low, level_high).to(dtype) if flatten: compressed_weight = compressed_weight.flatten(0,-2) @@ -408,7 +404,7 @@ def quantize_int(weight: torch.FloatTensor, scale: torch.FloatTensor, zero_point def decompress_asymmetric(input: torch.Tensor, scale: torch.Tensor, zero_point: torch.Tensor, dtype: torch.dtype, result_shape: torch.Size) -> torch.Tensor: - result = input.to(dtype=scale.dtype).sub_(zero_point).mul_(scale).to(dtype=dtype) + result = torch.addcmul(zero_point, input.to(dtype=scale.dtype), scale).to(dtype=dtype) if result_shape is not None: result = result.reshape(result_shape) return result @@ -644,9 +640,9 @@ if shared.opts.nncf_decompress_compile: decompress_int4_asymmetric_compiled = torch.compile(decompress_int4_asymmetric, fullgraph=True) decompress_int4_symmetric_compiled = torch.compile(decompress_int4_symmetric, fullgraph=True) if devices.backend != "ipex": # pytorch uses the cpu device in torch._int_mm op with ipex + torch.compile - int8_matmul = torch.compile(int8_matmul, fullgraph=True) quantize_int8_matmul_input_compiled = quantize_int8_matmul_input unpack_int4_compiled = unpack_int4 + int8_matmul = torch.compile(int8_matmul, fullgraph=True) else: quantize_int8_matmul_input_compiled = torch.compile(quantize_int8_matmul_input, fullgraph=True) unpack_int4_compiled = torch.compile(unpack_int4, fullgraph=True) From 8473bae0fc20441465013aa62ed8047c17b7360c Mon Sep 17 00:00:00 2001 From: Vladimir Mandic Date: Tue, 13 May 2025 21:51:31 -0400 Subject: [PATCH 11/18] 1000 papercuts Signed-off-by: Vladimir Mandic --- CHANGELOG.md | 4 +- TODO.md | 19 ++++++---- extensions-builtin/sd-extension-system-info | 2 +- modules/api/control.py | 2 +- modules/api/models.py | 42 +++++++++++---------- modules/extensions.py | 2 +- modules/face/__init__.py | 4 +- modules/gr_hijack.py | 36 +++++++++++++++++- modules/onnx_impl/ui.py | 2 +- modules/postprocess/yolo.py | 4 +- modules/scripts.py | 11 ++++-- modules/ui_caption.py | 12 +++--- modules/ui_control.py | 30 +++++++-------- modules/ui_docs.py | 2 +- modules/ui_extensions.py | 14 +++---- modules/ui_extra_networks.py | 2 +- modules/ui_gallery.py | 16 ++++---- modules/ui_history.py | 2 - modules/ui_img2img.py | 12 +++--- modules/ui_models.py | 36 ++++++------------ modules/ui_models_load.py | 4 +- modules/ui_postprocessing.py | 4 +- modules/ui_sections.py | 6 +-- modules/ui_settings.py | 7 +++- modules/ui_video.py | 6 +-- scripts/cogvideo.py | 4 +- scripts/ctrlx.py | 8 ++-- scripts/differential_diffusion.py | 2 +- scripts/flux_enhance.py | 4 +- scripts/ipadapter.py | 10 ++--- scripts/ipinstruct.py | 2 +- scripts/lut.py | 3 +- scripts/pulid_ext.py | 6 +-- scripts/regional_prompting.py | 4 +- scripts/style_aligned.py | 2 +- wiki | 2 +- 36 files changed, 182 insertions(+), 146 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 0631a919d..65a2d2496 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -10,13 +10,15 @@ Also, since quantization is becoming a necessity for almost all new models, see *Hint*: Even if you may not need quantization for your current model, it may be worth trying it out as it can significantly improve performance! - **Wiki** - - Updates for: *Quantization, WSL, ZLUDA, ROCm* + - Updates for: *Quantization, NNCF, WSL, ZLUDA, ROCm* - **Compute** - NNCF: added experimental support for direct INT8 MatMul - **Feature** - Prompt Enhance: option to allow/disallow NSFW content - **Fixes** - OpenVINO: force cpu device + - Gradio: major cleanup and fixing defaults and ranges + - Pydantic: update to api types ## Update for 2025-05-12 diff --git a/TODO.md b/TODO.md index 0fdae1862..75150e7dd 100644 --- a/TODO.md +++ b/TODO.md @@ -4,10 +4,6 @@ Main ToDo list can be found at [GitHub projects](https://github.com/users/vladma ## Current -- [Diffusers guiders](https://github.com/huggingface/diffusers/pull/11311) -- [Nunchaku PulID](https://github.com/mit-han-lab/nunchaku/pull/274) -- Video: API support - ### Issues/Limitations N/A @@ -15,9 +11,18 @@ N/A ## Future Candidates - Control: API enhance scripts compatibility -- IPAdapter: negative guidance: -- Video: STG: -- Video: SmoothCache: https://github.com/huggingface/diffusers/issues/11135 +- Video: API support +- [IPAdapter negative guidance](https://github.com/huggingface/diffusers/discussions/7167) +- [STG](https://github.com/huggingface/diffusers/blob/main/examples/community/README.md#spatiotemporal-skip-guidance) +- [SmoothCache](https://github.com/huggingface/diffusers/issues/11135) +- [Magi](https://github.com/SandAI-org/MAGI-1) +- [SkyReels-v2](https://github.com/huggingface/diffusers/pull/11518) +- [LTXVideo-0.9.7](https://github.com/huggingface/diffusers/pull/11516) +- [VisualClose](https://github.com/huggingface/diffusers/pull/11377) +- [SEVA](https://github.com/huggingface/diffusers/pull/11440) +- [Diffusers guiders](https://github.com/huggingface/diffusers/pull/11311) +- [Nunchaku PulID](https://github.com/mit-han-lab/nunchaku/pull/274) +- [Pydantic changes](https://github.com/Cschlaefli/automatic) ## Code TODO diff --git a/extensions-builtin/sd-extension-system-info b/extensions-builtin/sd-extension-system-info index ce373b9c2..539625f28 160000 --- a/extensions-builtin/sd-extension-system-info +++ b/extensions-builtin/sd-extension-system-info @@ -1 +1 @@ -Subproject commit ce373b9c27544f56ad73a1f7fe2c5530a89c1c32 +Subproject commit 539625f289c93555c15f563fbbcb3e4916feb67c diff --git a/modules/api/control.py b/modules/api/control.py index 411f71ff8..9d6512cd2 100644 --- a/modules/api/control.py +++ b/modules/api/control.py @@ -23,7 +23,7 @@ ReqControl = models.create_model_from_signature( model_name = "StableDiffusionProcessingControl", additional_fields = [ {"key": "sampler_name", "type": str, "default": "UniPC"}, - {"key": "script_name", "type": str, "default": None}, + {"key": "script_name", "type": Optional[str], "default": None}, {"key": "script_args", "type": list, "default": []}, {"key": "send_images", "type": bool, "default": True}, {"key": "save_images", "type": bool, "default": False}, diff --git a/modules/api/models.py b/modules/api/models.py index 574e4d636..f463a2dd6 100644 --- a/modules/api/models.py +++ b/modules/api/models.py @@ -67,8 +67,11 @@ class PydanticModelGenerator: def generate_model(self): model_fields = { d.field: (d.field_type, Field(default=d.field_value, alias=d.field_alias, exclude=d.field_exclude)) for d in self._model_def } DynamicModel = create_model(self._model_name, **model_fields) - DynamicModel.__config__.allow_population_by_field_name = True - DynamicModel.__config__.allow_mutation = True + try: + DynamicModel.__config__.allow_population_by_field_name = True + DynamicModel.__config__.allow_mutation = True + except Exception: + pass return DynamicModel ### item classes @@ -182,7 +185,7 @@ class ItemScript(BaseModel): class ItemExtension(BaseModel): name: str = Field(title="Name", description="Extension name") remote: str = Field(title="Remote", description="Extension Repository URL") - branch: str = Field(title="Branch", description="Extension Repository Branch") + branch: str = Field(default="uknnown", title="Branch", description="Extension Repository Branch") commit_hash: str = Field(title="Commit Hash", description="Extension Repository Commit Hash") version: str = Field(title="Version", description="Extension Version") commit_date: str = Field(title="Commit Date", description="Extension Repository Commit Date") @@ -197,7 +200,7 @@ ReqTxt2Img = PydanticModelGenerator( {"key": "sampler_index", "type": Union[int, str], "default": 0}, {"key": "sampler_name", "type": str, "default": "UniPC"}, {"key": "hr_sampler_name", "type": str, "default": "Same as primary"}, - {"key": "script_name", "type": str, "default": "none"}, + {"key": "script_name", "type": Optional[str], "default": "none"}, {"key": "script_args", "type": list, "default": []}, {"key": "send_images", "type": bool, "default": True}, {"key": "save_images", "type": bool, "default": False}, @@ -221,13 +224,11 @@ ReqImg2Img = PydanticModelGenerator( {"key": "sampler_index", "type": Union[int, str], "default": 0}, {"key": "sampler_name", "type": str, "default": "UniPC"}, {"key": "hr_sampler_name", "type": str, "default": "Same as primary"}, - {"key": "script_name", "type": str, "default": "none"}, - {"key": "script_args", "type": list, "default": []}, {"key": "init_images", "type": list, "default": None}, {"key": "denoising_strength", "type": float, "default": 0.5}, - {"key": "mask", "type": str, "default": None}, + {"key": "mask", "type": Optional[str], "default": None}, {"key": "include_init_images", "type": bool, "default": False, "exclude": True}, - {"key": "script_name", "type": str, "default": None}, + {"key": "script_name", "type": Optional[str], "default": "none"}, {"key": "script_args", "type": list, "default": []}, {"key": "send_images", "type": bool, "default": True}, {"key": "save_images", "type": bool, "default": False}, @@ -306,9 +307,9 @@ class ReqGetLog(BaseModel): class ReqPostLog(BaseModel): - message: Optional[str] = Field(title="Message", description="The info message to log") - debug: Optional[str] = Field(title="Debug message", description="The debug message to log") - error: Optional[str] = Field(title="Error message", description="The error message to log") + message: Optional[str] = Field(default=None, title="Message", description="The info message to log") + debug: Optional[str] = Field(default=None, title="Debug message", description="The debug message to log") + error: Optional[str] = Field(default=None, title="Error message", description="The error message to log") class ReqHistory(BaseModel): id: str = Field(default=None, title="Task ID", description="Task ID") @@ -321,8 +322,8 @@ class ResProgress(BaseModel): progress: float = Field(title="Progress", description="The progress with a range of 0 to 1") eta_relative: float = Field(title="ETA in secs") state: dict = Field(title="State", description="The current state snapshot") - current_image: str = Field(default=None, title="Current image", description="The current image in base64 format. opts.show_progress_every_n_steps is required for this to work.") - textinfo: str = Field(default=None, title="Info text", description="Info text used by WebUI.") + current_image: Optional[str] = Field(default=None, title="Current image", description="The current image in base64 format. opts.show_progress_every_n_steps is required for this to work.") + textinfo: Optional[str] = Field(default=None, title="Info text", description="Info text used by WebUI.") class ResHistory(BaseModel): id: str = Field(title="ID", description="Task ID") @@ -345,9 +346,9 @@ class ResStatus(BaseModel): steps: int = Field(title="Steps", description="Total steps") queued: int = Field(title="Queued", description="Number of queued tasks") uptime: int = Field(title="Uptime", description="Uptime of the server") - elapsed: Optional[float] = Field(title="Elapsed time") - eta: Optional[float] = Field(title="ETA in secs") - progress: Optional[float] = Field(title="Progress", description="The progress with a range of 0 to 1") + elapsed: Optional[float] = Field(default=None, title="Elapsed time") + eta: Optional[float] = Field(default=None, title="ETA in secs") + progress: Optional[float] = Field(default=None, title="Progress", description="The progress with a range of 0 to 1") class ReqInterrogate(BaseModel): @@ -404,7 +405,7 @@ _options = vars(shared.parser)['_option_string_actions'] for key in _options: if _options[key].dest != 'help': flag = _options[key] - _type = str + _type = Optional[str] if _options[key].default is not None: _type = type(_options[key].default) flags.update({flag.dest: (_type, Field(default=flag.default, description=flag.help))}) @@ -482,6 +483,9 @@ def create_model_from_signature(func: Callable, model_name: str, base_model: Typ __base__=base_model, __config__=config, ) - model.__config__.allow_population_by_field_name = True - model.__config__.allow_mutation = True + try: + model.__config__.allow_population_by_field_name = True + model.__config__.allow_mutation = True + except Exception: + pass return model diff --git a/modules/extensions.py b/modules/extensions.py index 587dca991..204297501 100644 --- a/modules/extensions.py +++ b/modules/extensions.py @@ -69,7 +69,7 @@ class Extension: if repo.active_branch: self.branch = repo.active_branch.name except Exception: - pass + self.branch = 'unknown' self.commit_hash = head.hexsha self.version = f"

{self.commit_hash[:8]}

{datetime.fromtimestamp(self.commit_date).strftime('%a %b%d %Y %H:%M')}

" except Exception as ex: diff --git a/modules/face/__init__.py b/modules/face/__init__.py index d6541e397..bcd0e4ac4 100644 --- a/modules/face/__init__.py +++ b/modules/face/__init__.py @@ -92,12 +92,12 @@ class Script(scripts.Script): gr.HTML('  Tenecent ARC Lab PhotoMaker
') with gr.Row(): pm_model = gr.Dropdown(label='PhotoMaker Model', choices=['PhotoMaker v1', 'PhotoMaker v2'], value='PhotoMaker v2') - pm_trigger = gr.Text(label='Trigger word', placeholder="enter one word in prompt") + pm_trigger = gr.Textbox(label='Trigger word', placeholder="enter one word in prompt") with gr.Row(): pm_strength = gr.Slider(label='Strength', minimum=0.0, maximum=2.0, step=0.01, value=1.0) pm_start = gr.Slider(label='Start', minimum=0.0, maximum=1.0, step=0.01, value=0.5) with gr.Row(): - files = gr.File(label='Input images', file_count='multiple', file_types=['image'], type='file', interactive=True, height=100) + files = gr.File(label='Input images', file_count='multiple', file_types=['image'], interactive=True, height=100) with gr.Row(): gallery = gr.Gallery(show_label=False, value=[]) files.change(fn=self.load_images, inputs=[files], outputs=[gallery]) diff --git a/modules/gr_hijack.py b/modules/gr_hijack.py index b6de12e0c..9f9d1b9cb 100644 --- a/modules/gr_hijack.py +++ b/modules/gr_hijack.py @@ -84,14 +84,46 @@ def Blocks_get_config_file(self, *args, **kwargs): return config +def patch_gradio(): + def wrap_gradio_js(fn): + def wrapper(*args, js=None, _js=None, **kwargs): + if _js is not None: + js = _js + return fn(*args, js=js, **kwargs) + return wrapper + + gradio.components.Button.click = wrap_gradio_js(gradio.components.Button.click) + gradio.components.Textbox.submit = wrap_gradio_js(gradio.components.Textbox.submit) + gradio.components.Image.clear = wrap_gradio_js(gradio.components.Image.clear) + gradio.components.Image.change = wrap_gradio_js(gradio.components.Image.change) + gradio.components.Image.upload = wrap_gradio_js(gradio.components.Image.upload) + gradio.components.Video.change = wrap_gradio_js(gradio.components.Video.change) + gradio.components.Video.clear = wrap_gradio_js(gradio.components.Video.clear) + gradio.components.Slider.change = wrap_gradio_js(gradio.components.Slider.change) + gradio.components.Dropdown.change = wrap_gradio_js(gradio.components.Dropdown.change) + gradio.components.File.change = wrap_gradio_js(gradio.components.File.change) + gradio.components.File.clear = wrap_gradio_js(gradio.components.File.clear) + gradio.components.Number.change = wrap_gradio_js(gradio.components.Number.change) + gradio.components.Textbox.change = wrap_gradio_js(gradio.components.Textbox.change) + gradio.components.Radio.change = wrap_gradio_js(gradio.components.Radio.change) + gradio.components.Checkbox.change = wrap_gradio_js(gradio.components.Checkbox.change) + gradio.components.CheckboxGroup.change = wrap_gradio_js(gradio.components.CheckboxGroup.change) + gradio.components.ColorPicker.change = wrap_gradio_js(gradio.components.ColorPicker.change) + gradio.layouts.Tab.select = wrap_gradio_js(gradio.layouts.Tab.select) + gradio.components.Image.edit = lambda *args, **kwargs: None + # gradio.components.image.Image.__init__ missing tool, brush_radius, mask_opacity, edit() + def init(): global hijacked, original_IOComponent_init, original_Block_get_config, original_BlockContext_init, original_Blocks_get_config_file # pylint: disable=global-statement if hijacked: return gr.components.Image.preprocess = gr_image_preprocess - gr.components.IOComponent.pil_to_temp_file = gr_tempdir.pil_to_temp_file - original_IOComponent_init = patches.patch(__name__, obj=gr.components.IOComponent, field="__init__", replacement=IOComponent_init) + if hasattr(gr.components, 'IOComponent'): + gr.components.IOComponent.pil_to_temp_file = gr_tempdir.pil_to_temp_file + original_IOComponent_init = patches.patch(__name__, obj=gr.components.IOComponent, field="__init__", replacement=IOComponent_init) original_Block_get_config = patches.patch(__name__, obj=gr.blocks.Block, field="get_config", replacement=Block_get_config) original_BlockContext_init = patches.patch(__name__, obj=gr.blocks.BlockContext, field="__init__", replacement=BlockContext_init) original_Blocks_get_config_file = patches.patch(__name__, obj=gr.blocks.Blocks, field="get_config_file", replacement=Blocks_get_config_file) + if not gr.__version__.startswith('3.43'): + patch_gradio() hijacked = True diff --git a/modules/onnx_impl/ui.py b/modules/onnx_impl/ui.py index 49af8d98b..85481e621 100644 --- a/modules/onnx_impl/ui.py +++ b/modules/onnx_impl/ui.py @@ -68,7 +68,7 @@ def create_ui(): with gr.Row(): cache_list_optimized_headers = ["height", "width"] cache_list_optimized_types = ["str", "str"] - cache_list_optimized = gr.Dataframe(None, label="Optimized caches", show_label=True, overflow_row_behaviour='paginate', interactive=False, max_rows=10, headers=cache_list_optimized_headers, datatype=cache_list_optimized_types, type="array") + cache_list_optimized = gr.Dataframe(None, label="Optimized caches", show_label=True, interactive=False, headers=cache_list_optimized_headers, datatype=cache_list_optimized_types, type="array") cache_list_optimized.select(fn=select_cache_optimized, inputs=[cache_list_optimized,], outputs=[cache_optimized_selected,]) cache_remove_optimized = gr.Button(value="Remove selected cache", visible=False) cache_remove_optimized.click(fn=remove_cache_optimized, inputs=[cache_state_dirname, cache_optimized_selected,]) diff --git a/modules/postprocess/yolo.py b/modules/postprocess/yolo.py index d57d59e04..d3b148805 100644 --- a/modules/postprocess/yolo.py +++ b/modules/postprocess/yolo.py @@ -367,10 +367,10 @@ class YoloRestorer(Detailer): with gr.Row(): negative = gr.Textbox(label="Detailer negative prompt", value='', placeholder='Detailer negative prompt', lines=2, elem_id=f"{tab}_detailer_negative") with gr.Row(): - steps = gr.Slider(label="Detailer steps", elem_id=f"{tab}_detailer_steps", value=10, min=0, max=99, step=1) + steps = gr.Slider(label="Detailer steps", elem_id=f"{tab}_detailer_steps", value=10, minimum=0, maximum=99, step=1) strength = gr.Slider(label="Detailer strength", elem_id=f"{tab}_detailer_strength", value=0.3, minimum=0, maximum=1, step=0.01) with gr.Row(): - max_detected = gr.Slider(label="Max detected", elem_id=f"{tab}_detailer_max", value=shared.opts.detailer_max, min=1, maximum=10, step=1) + max_detected = gr.Slider(label="Max detected", elem_id=f"{tab}_detailer_max", value=shared.opts.detailer_max, minimum=1, maximum=10, step=1) with gr.Row(): padding = gr.Slider(label="Edge padding", elem_id=f"{tab}_detailer_padding", value=shared.opts.detailer_padding, minimum=0, maximum=100, step=1) blur = gr.Slider(label="Edge blur", elem_id=f"{tab}_detailer_blur", value=shared.opts.detailer_blur, minimum=0, maximum=100, step=1) diff --git a/modules/scripts.py b/modules/scripts.py index 8bf3f1048..1ff034f6f 100644 --- a/modules/scripts.py +++ b/modules/scripts.py @@ -412,9 +412,14 @@ class ScriptRunner: api_args = [] for control in controls: debug(f'Script control: parent={script.parent} script="{script.name}" label="{control.label}" type={control} id={control.elem_id}') - if not isinstance(control, gr.components.IOComponent): - errors.log.error(f'Invalid script control: "{script.filename}" control={control}') - continue + if hasattr(gr.components, 'IOComponent'): + if not isinstance(control, gr.components.IOComponent): + errors.log.error(f'Invalid script control: "{script.filename}" control={control}') + continue + else: + if not isinstance(control, gr.components.Component): + errors.log.error(f'Invalid script control: "{script.filename}" control={control}') + continue control.custom_script_source = os.path.basename(script.filename) arg_info = api_models.ScriptArg(label=control.label or "") for field in ("value", "minimum", "maximum", "step", "choices"): diff --git a/modules/ui_caption.py b/modules/ui_caption.py index ef8d2d6e2..a4da339d3 100644 --- a/modules/ui_caption.py +++ b/modules/ui_caption.py @@ -61,11 +61,11 @@ def create_ui(): vlm_top_p.change(fn=update_vlm_params, inputs=[vlm_max_tokens, vlm_num_beams, vlm_temperature, vlm_do_sample, vlm_top_k, vlm_top_p], outputs=[]) with gr.Accordion(label='Batch caption', open=False, visible=True): with gr.Row(): - vlm_batch_files = gr.File(label="Files", show_label=True, file_count='multiple', file_types=['image'], type='file', interactive=True, height=100, elem_id='vlm_batch_files') + vlm_batch_files = gr.File(label="Files", show_label=True, file_count='multiple', file_types=['image'], interactive=True, height=100, elem_id='vlm_batch_files') with gr.Row(): - vlm_batch_folder = gr.File(label="Folder", show_label=True, file_count='directory', file_types=['image'], type='file', interactive=True, height=100, elem_id='vlm_batch_folder') + vlm_batch_folder = gr.File(label="Folder", show_label=True, file_count='directory', file_types=['image'], interactive=True, height=100, elem_id='vlm_batch_folder') with gr.Row(): - vlm_batch_str = gr.Text(label="Folder", value="", interactive=True, elem_id='vlm_batch_str') + vlm_batch_str = gr.Textbox(label="Folder", value="", interactive=True, elem_id='vlm_batch_str') with gr.Row(): vlm_save_output = gr.Checkbox(label='Save caption files', value=True, elem_id="vlm_save_output") vlm_save_append = gr.Checkbox(label='Append caption files', value=False, elem_id="vlm_save_append") @@ -100,11 +100,11 @@ def create_ui(): clip_num_beams.change(fn=update_clip_params, inputs=[clip_min_length, clip_max_length, clip_chunk_size, clip_min_flavors, clip_max_flavors, clip_flavor_count, clip_num_beams], outputs=[]) with gr.Accordion(label='Batch interogate', open=False, visible=True): with gr.Row(): - clip_batch_files = gr.File(label="Files", show_label=True, file_count='multiple', file_types=['image'], type='file', interactive=True, height=100, elem_id='clip_batch_files') + clip_batch_files = gr.File(label="Files", show_label=True, file_count='multiple', file_types=['image'], interactive=True, height=100, elem_id='clip_batch_files') with gr.Row(): - clip_batch_folder = gr.File(label="Folder", show_label=True, file_count='directory', file_types=['image'], type='file', interactive=True, height=100, elem_id='clip_batch_folder') + clip_batch_folder = gr.File(label="Folder", show_label=True, file_count='directory', file_types=['image'], interactive=True, height=100, elem_id='clip_batch_folder') with gr.Row(): - clip_batch_str = gr.Text(label="Folder", value="", interactive=True, elem_id='clip_batch_str') + clip_batch_str = gr.Textbox(label="Folder", value="", interactive=True, elem_id='clip_batch_str') with gr.Row(): clip_save_output = gr.Checkbox(label='Save caption files', value=True, elem_id="clip_save_output") clip_save_append = gr.Checkbox(label='Append caption files', value=False, elem_id="clip_save_append") diff --git a/modules/ui_control.py b/modules/ui_control.py index 9e3de1cf1..94ad27eee 100644 --- a/modules/ui_control.py +++ b/modules/ui_control.py @@ -129,7 +129,7 @@ def create_ui(_blocks: gr.Blocks=None): txt_prompt_img = gr.File(label="", elem_id="control_prompt_image", file_count="single", type="binary", visible=False) txt_prompt_img.change(fn=images.image_data, inputs=[txt_prompt_img], outputs=[prompt, txt_prompt_img]) - with gr.Group(elem_id="control_interface", equal_height=False): + with gr.Group(elem_id="control_interface"): with gr.Row(elem_id='control_status'): result_txt = gr.HTML(elem_classes=['control-result'], elem_id='control-result') @@ -193,29 +193,29 @@ def create_ui(_blocks: gr.Blocks=None): with gr.Tabs(elem_classes=['control-tabs'], elem_id='control-tab-input'): with gr.Tab('Image', id='in-image') as tab_image: input_mode = gr.Label(value='select', visible=False) - input_image = gr.Image(label="Input", show_label=False, type="pil", source="upload", interactive=True, tool="editor", height=gr_height, visible=True, image_mode='RGB', elem_id='control_input_select', elem_classes=['control-image']) - input_resize = gr.Image(label="Input", show_label=False, type="pil", source="upload", interactive=True, tool="select", height=gr_height, visible=False, image_mode='RGB', elem_id='control_input_resize', elem_classes=['control-image']) - input_inpaint = gr.Image(label="Input", show_label=False, type="pil", source="upload", interactive=True, tool="sketch", height=gr_height, visible=False, image_mode='RGB', elem_id='control_input_inpaint', brush_radius=32, mask_opacity=0.6, elem_classes=['control-image']) + input_image = gr.Image(label="Input", show_label=False, type="pil", interactive=True, tool="editor", height=gr_height, visible=True, image_mode='RGB', elem_id='control_input_select', elem_classes=['control-image']) + input_resize = gr.Image(label="Input", show_label=False, type="pil", interactive=True, tool="select", height=gr_height, visible=False, image_mode='RGB', elem_id='control_input_resize', elem_classes=['control-image']) + input_inpaint = gr.Image(label="Input", show_label=False, type="pil", interactive=True, tool="sketch", height=gr_height, visible=False, image_mode='RGB', elem_id='control_input_inpaint', brush_radius=32, mask_opacity=0.6, elem_classes=['control-image']) btn_interrogate = ui_sections.create_interrogate_button('control') with gr.Row(): input_buttons = [gr.Button('Select', visible=True, interactive=False), gr.Button('Inpaint', visible=True, interactive=True), gr.Button('Outpaint', visible=True, interactive=True)] with gr.Tab('Video', id='in-video') as tab_video: input_video = gr.Video(label="Input", show_label=False, interactive=True, height=gr_height, elem_classes=['control-image']) with gr.Tab('Batch', id='in-batch') as tab_batch: - input_batch = gr.File(label="Input", show_label=False, file_count='multiple', file_types=['image'], type='file', interactive=True, height=gr_height) + input_batch = gr.File(label="Input", show_label=False, file_count='multiple', file_types=['image'], interactive=True, height=gr_height) with gr.Tab('Folder', id='in-folder') as tab_folder: - input_folder = gr.File(label="Input", show_label=False, file_count='directory', file_types=['image'], type='file', interactive=True, height=gr_height) + input_folder = gr.File(label="Input", show_label=False, file_count='directory', file_types=['image'], interactive=True, height=gr_height) with gr.Column(scale=9, elem_id='control-init-column', visible=False) as column_init: gr.HTML('Init input

') with gr.Tabs(elem_classes=['control-tabs'], elem_id='control-tab-init'): with gr.Tab('Image', id='init-image') as tab_image_init: - init_image = gr.Image(label="Input", show_label=False, type="pil", source="upload", interactive=True, tool="editor", height=gr_height, elem_classes=['control-image']) + init_image = gr.Image(label="Input", show_label=False, type="pil", interactive=True, tool="editor", height=gr_height, elem_classes=['control-image']) with gr.Tab('Video', id='init-video') as tab_video_init: init_video = gr.Video(label="Input", show_label=False, interactive=True, height=gr_height, elem_classes=['control-image']) with gr.Tab('Batch', id='init-batch') as tab_batch_init: - init_batch = gr.File(label="Input", show_label=False, file_count='multiple', file_types=['image'], type='file', interactive=True, height=gr_height, elem_classes=['control-image']) + init_batch = gr.File(label="Input", show_label=False, file_count='multiple', file_types=['image'], interactive=True, height=gr_height, elem_classes=['control-image']) with gr.Tab('Folder', id='init-folder') as tab_folder_init: - init_folder = gr.File(label="Input", show_label=False, file_count='directory', file_types=['image'], type='file', interactive=True, height=gr_height, elem_classes=['control-image']) + init_folder = gr.File(label="Input", show_label=False, file_count='directory', file_types=['image'], interactive=True, height=gr_height, elem_classes=['control-image']) with gr.Column(scale=9, elem_id='control-output-column', visible=True) as _column_output: gr.HTML('Output

') with gr.Tabs(elem_classes=['control-tabs'], elem_id='control-tab-output') as output_tabs: @@ -229,7 +229,7 @@ def create_ui(_blocks: gr.Blocks=None): gr.HTML('Preview

') with gr.Tabs(elem_classes=['control-tabs'], elem_id='control-tab-preview'): with gr.Tab('Preview', id='preview-image') as _tab_preview: - preview_process = gr.Image(label="Preview", show_label=False, type="pil", source="upload", interactive=False, height=gr_height, visible=True, elem_id='control_preview', elem_classes=['control-image']) + preview_process = gr.Image(label="Preview", show_label=False, type="pil", interactive=False, height=gr_height, visible=True, elem_id='control_preview', elem_classes=['control-image']) with gr.Accordion('Control elements', open=False, elem_id="control_elements"): with gr.Tabs(elem_id='control-tabs') as _tabs_control_type: @@ -259,7 +259,7 @@ def create_ui(_blocks: gr.Blocks=None): image_upload = gr.UploadButton(label=ui_symbols.upload, file_types=['image'], elem_classes=['form', 'gradio-button', 'tool']) image_reuse= ui_components.ToolButton(value=ui_symbols.reuse) process_btn= ui_components.ToolButton(value=ui_symbols.preview) - image_preview = gr.Image(label="Input", type="pil", source="upload", height=128, width=128, visible=False, interactive=True, show_label=False, show_download_button=False, container=False, elem_id=f'control_unit-{i}-override') + image_preview = gr.Image(label="Input", type="pil", height=128, width=128, visible=False, interactive=True, show_label=False, show_download_button=False, container=False, elem_id=f'control_unit-{i}-override') controlnet_ui_units.append(unit_ui) units.append(unit.Unit( unit_type = 'controlnet', @@ -308,7 +308,7 @@ def create_ui(_blocks: gr.Blocks=None): image_upload = gr.UploadButton(label=ui_symbols.upload, file_types=['image'], elem_classes=['form', 'gradio-button', 'tool']) image_reuse= ui_components.ToolButton(value=ui_symbols.reuse) process_btn= ui_components.ToolButton(value=ui_symbols.preview) - image_preview = gr.Image(label="Input", show_label=False, type="pil", source="upload", interactive=False, height=128, width=128, visible=False, elem_id=f'control_unit-{i}-override') + image_preview = gr.Image(label="Input", show_label=False, type="pil", interactive=False, height=128, width=128, visible=False, elem_id=f'control_unit-{i}-override') adapter_ui_units.append(unit_ui) units.append(unit.Unit( unit_type = 't2i adapter', @@ -355,7 +355,7 @@ def create_ui(_blocks: gr.Blocks=None): image_upload = gr.UploadButton(label=ui_symbols.upload, file_types=['image'], elem_classes=['form', 'gradio-button', 'tool']) image_reuse= ui_components.ToolButton(value=ui_symbols.reuse) process_btn= ui_components.ToolButton(value=ui_symbols.preview) - image_preview = gr.Image(label="Input", show_label=False, type="pil", source="upload", interactive=False, height=128, width=128, visible=False, elem_id=f'control_unit-{i}-override') + image_preview = gr.Image(label="Input", show_label=False, type="pil", interactive=False, height=128, width=128, visible=False, elem_id=f'control_unit-{i}-override') controlnetxs_ui_units.append(unit_ui) units.append(unit.Unit( unit_type = 'xs', @@ -400,7 +400,7 @@ def create_ui(_blocks: gr.Blocks=None): reset_btn = ui_components.ToolButton(value=ui_symbols.reset) image_upload = gr.UploadButton(label=ui_symbols.upload, file_types=['image'], elem_classes=['form', 'gradio-button', 'tool']) image_reuse= ui_components.ToolButton(value=ui_symbols.reuse) - image_preview = gr.Image(label="Input", show_label=False, type="pil", source="upload", interactive=False, height=128, width=128, visible=False, elem_id=f'control_unit-{i}-override') + image_preview = gr.Image(label="Input", show_label=False, type="pil", interactive=False, height=128, width=128, visible=False, elem_id=f'control_unit-{i}-override') process_btn= ui_components.ToolButton(value=ui_symbols.preview) lite_ui_units.append(unit_ui) units.append(unit.Unit( @@ -444,7 +444,7 @@ def create_ui(_blocks: gr.Blocks=None): reset_btn = ui_components.ToolButton(value=ui_symbols.reset) image_upload = gr.UploadButton(label=ui_symbols.upload, file_types=['image'], elem_classes=['form', 'gradio-button', 'tool']) image_reuse= ui_components.ToolButton(value=ui_symbols.reuse) - image_preview = gr.Image(label="Input", show_label=False, type="pil", source="upload", interactive=False, height=128, width=128, visible=False, elem_id=f'control_unit-{i}-override') + image_preview = gr.Image(label="Input", show_label=False, type="pil", interactive=False, height=128, width=128, visible=False, elem_id=f'control_unit-{i}-override') process_btn= ui_components.ToolButton(value=ui_symbols.preview) units.append(unit.Unit( unit_type = 'reference', diff --git a/modules/ui_docs.py b/modules/ui_docs.py index c8eb15dd0..e38ddf466 100644 --- a/modules/ui_docs.py +++ b/modules/ui_docs.py @@ -59,7 +59,7 @@ def create_ui_wiki(): gr.HTML('  Open GitHub Wiki') with gr.Row(): wiki_search = gr.Textbox(label="Search Wiki Pages", elem_id="wiki_search") - wiki_search_btn = ui_components.ToolButton(value=ui_symbols.search, label="Search", elem_id="wiki_search_btn") + wiki_search_btn = ui_components.ToolButton(value=ui_symbols.search, elem_id="wiki_search_btn") with gr.Row(): wiki_result = gr.HTML(elem_id="wiki_result", value='') wiki_search.submit(_js="wikiSearch", fn=search_github, inputs=[wiki_search], outputs=[wiki_result]) diff --git a/modules/ui_extensions.py b/modules/ui_extensions.py index 435ff95ae..378f6a0db 100644 --- a/modules/ui_extensions.py +++ b/modules/ui_extensions.py @@ -438,17 +438,17 @@ def create_html(search_text, sort_column): def create_ui(): extensions_disable_all = gr.Radio(label="Disable all extensions", choices=["none", "user", "all"], value=shared.opts.disable_all_extensions, elem_id="extensions_disable_all", visible=False) - extensions_disabled_list = gr.Text(elem_id="extensions_disabled_list", visible=False, container=False) - extensions_update_list = gr.Text(elem_id="extensions_update_list", visible=False, container=False) + extensions_disabled_list = gr.Textbox(elem_id="extensions_disabled_list", visible=False, container=False) + extensions_update_list = gr.Textbox(elem_id="extensions_update_list", visible=False, container=False) with gr.Tabs(elem_id="tabs_extensions"): with gr.TabItem("Manage extensions", id="manage"): with gr.Row(elem_id="extensions_installed_top"): - extension_to_install = gr.Text(elem_id="extension_to_install", visible=False) + extension_to_install = gr.Textbox(elem_id="extension_to_install", visible=False) install_extension_button = gr.Button(elem_id="install_extension_button", visible=False) uninstall_extension_button = gr.Button(elem_id="uninstall_extension_button", visible=False) update_extension_button = gr.Button(elem_id="update_extension_button", visible=False) with gr.Column(scale=4): - search_text = gr.Text(label="Search") + search_text = gr.Textbox(label="Search") with gr.Column(scale=1): sort_column = gr.Dropdown(value="default", label="Sort by", choices=list(sort_ordering.keys()), multiselect=False) with gr.Column(scale=1): @@ -508,9 +508,9 @@ def create_ui(): outputs=[extensions_table, info], ) with gr.TabItem("Manual install", id="install_from_url"): - install_url = gr.Text(label="Extension GIT repository URL") - install_branch = gr.Text(label="Specific branch name", placeholder="Leave empty for default main branch") - install_dirname = gr.Text(label="Local directory name", placeholder="Leave empty for auto") + install_url = gr.Textbox(label="Extension GIT repository URL") + install_branch = gr.Textbox(label="Specific branch name", placeholder="Leave empty for default main branch") + install_dirname = gr.Textbox(label="Local directory name", placeholder="Leave empty for auto") install_button = gr.Button(value="Install", variant="primary") info = gr.HTML(elem_id="extension_info") install_button.click( diff --git a/modules/ui_extra_networks.py b/modules/ui_extra_networks.py index 4c3708d4a..d2f8e4576 100644 --- a/modules/ui_extra_networks.py +++ b/modules/ui_extra_networks.py @@ -603,7 +603,7 @@ def create_ui(container, button_parent, tabname, skip_indexing = False): text = gr.HTML('
title
') ui.details_components.append(text) with gr.Column(scale=1): - img = gr.Image(value=None, show_label=False, interactive=False, container=False, show_download_button=False, show_info=False, elem_id=f"{tabname}_extra_details_img", elem_classes=['extra-details-img']) + img = gr.Image(value=None, show_label=False, interactive=False, container=False, show_download_button=False, elem_id=f"{tabname}_extra_details_img", elem_classes=['extra-details-img']) ui.details_components.append(img) with gr.Row(): btn_save_img = gr.Button('Replace', elem_classes=['small-button']) diff --git a/modules/ui_gallery.py b/modules/ui_gallery.py index 40bcace03..3b0363359 100644 --- a/modules/ui_gallery.py +++ b/modules/ui_gallery.py @@ -43,14 +43,14 @@ def create_ui(): with gr.Blocks() as tab: with gr.Row(elem_id='tab-gallery-sort-buttons'): sort_buttons = [] - sort_buttons.append(ToolButton(value=ui_symbols.sort_alpha_asc, show_label=False, elem_classes=['gallery-sort'])) - sort_buttons.append(ToolButton(value=ui_symbols.sort_alpha_dsc, show_label=False, elem_classes=['gallery-sort'])) - sort_buttons.append(ToolButton(value=ui_symbols.sort_size_asc, show_label=False, elem_classes=['gallery-sort'])) - sort_buttons.append(ToolButton(value=ui_symbols.sort_size_dsc, show_label=False, elem_classes=['gallery-sort'])) - sort_buttons.append(ToolButton(value=ui_symbols.sort_num_asc, show_label=False, elem_classes=['gallery-sort'])) - sort_buttons.append(ToolButton(value=ui_symbols.sort_num_dsc, show_label=False, elem_classes=['gallery-sort'])) - sort_buttons.append(ToolButton(value=ui_symbols.sort_time_asc, show_label=False, elem_classes=['gallery-sort'])) - sort_buttons.append(ToolButton(value=ui_symbols.sort_time_dsc, show_label=False, elem_classes=['gallery-sort'])) + sort_buttons.append(ToolButton(value=ui_symbols.sort_alpha_asc, elem_classes=['gallery-sort'])) + sort_buttons.append(ToolButton(value=ui_symbols.sort_alpha_dsc, elem_classes=['gallery-sort'])) + sort_buttons.append(ToolButton(value=ui_symbols.sort_size_asc, elem_classes=['gallery-sort'])) + sort_buttons.append(ToolButton(value=ui_symbols.sort_size_dsc, elem_classes=['gallery-sort'])) + sort_buttons.append(ToolButton(value=ui_symbols.sort_num_asc, elem_classes=['gallery-sort'])) + sort_buttons.append(ToolButton(value=ui_symbols.sort_num_dsc, elem_classes=['gallery-sort'])) + sort_buttons.append(ToolButton(value=ui_symbols.sort_time_asc, elem_classes=['gallery-sort'])) + sort_buttons.append(ToolButton(value=ui_symbols.sort_time_dsc, elem_classes=['gallery-sort'])) gr.Textbox(show_label=False, placeholder='Search', elem_id='tab-gallery-search') gr.HTML('', elem_id='tab-gallery-status') for btn in sort_buttons: diff --git a/modules/ui_history.py b/modules/ui_history.py index ce517c308..8c89b3b4d 100644 --- a/modules/ui_history.py +++ b/modules/ui_history.py @@ -47,8 +47,6 @@ def create_ui(): show_label=True, interactive=False, wrap=True, - overflow_row_behaviour='paginate', - max_rows=50, elem_id='history_table', ) with gr.Row(): diff --git a/modules/ui_img2img.py b/modules/ui_img2img.py index 294065498..bd7627a48 100644 --- a/modules/ui_img2img.py +++ b/modules/ui_img2img.py @@ -68,20 +68,20 @@ def create_ui(): img2img_selected_tab = gr.State(0) # pylint: disable=abstract-class-instantiated state = gr.Textbox(value='', visible=False) with gr.TabItem('Image', id='img2img_image', elem_id="img2img_image_tab") as tab_img2img: - img_init = gr.Image(label="", elem_id="img2img_image", show_label=False, source="upload", interactive=True, type="pil", tool="editor", image_mode="RGBA", height=512) + img_init = gr.Image(label="", elem_id="img2img_image", show_label=False, interactive=True, type="pil", tool="editor", image_mode="RGBA", height=512) interrogate_btn = ui_sections.create_interrogate_button(tab='img2img') add_copy_image_controls('img2img', img_init) with gr.TabItem('Inpaint', id='img2img_inpaint', elem_id="img2img_inpaint_tab") as tab_inpaint: - img_inpaint = gr.Image(label="", elem_id="img2img_inpaint", show_label=False, source="upload", interactive=True, type="pil", tool="sketch", image_mode="RGBA", height=512) + img_inpaint = gr.Image(label="", elem_id="img2img_inpaint", show_label=False, interactive=True, type="pil", tool="sketch", image_mode="RGBA", height=512) add_copy_image_controls('inpaint', img_inpaint) with gr.TabItem('Sketch', id='img2img_sketch', elem_id="img2img_sketch_tab") as tab_sketch: - img_sketch = gr.Image(label="", elem_id="img2img_sketch", show_label=False, source="upload", interactive=True, type="pil", tool="color-sketch", image_mode="RGBA", height=512) + img_sketch = gr.Image(label="", elem_id="img2img_sketch", show_label=False, interactive=True, type="pil", tool="color-sketch", image_mode="RGBA", height=512) add_copy_image_controls('sketch', img_sketch) with gr.TabItem('Composite', id='img2img_composite', elem_id="img2img_composite_tab") as tab_inpaint_color: - img_composite = gr.Image(label="", show_label=False, elem_id="img2img_composite", source="upload", interactive=True, type="pil", tool="color-sketch", image_mode="RGBA", height=512) + img_composite = gr.Image(label="", show_label=False, elem_id="img2img_composite", interactive=True, type="pil", tool="color-sketch", image_mode="RGBA", height=512) img_composite_orig = gr.State(None) # pylint: disable=abstract-class-instantiated img_composite_orig_update = False @@ -99,8 +99,8 @@ def create_ui(): add_copy_image_controls('composite', img_composite) with gr.TabItem('Upload', id='inpaint_upload', elem_id="img2img_inpaint_upload_tab") as tab_inpaint_upload: - init_img_inpaint = gr.Image(label="Image for img2img", show_label=False, source="upload", interactive=True, type="pil", elem_id="img_inpaint_base") - init_mask_inpaint = gr.Image(label="Mask", source="upload", interactive=True, type="pil", elem_id="img_inpaint_mask") + init_img_inpaint = gr.Image(label="Image for img2img", show_label=False, interactive=True, type="pil", elem_id="img_inpaint_base") + init_mask_inpaint = gr.Image(label="Mask", interactive=True, type="pil", elem_id="img_inpaint_mask") with gr.TabItem('Batch', id='batch', elem_id="img2img_batch_tab") as tab_batch: gr.HTML("

Run image processing on upload images or files in a folder
If masks are provided will run inpaint

") diff --git a/modules/ui_models.py b/modules/ui_models.py index 76585a9e7..704399158 100644 --- a/modules/ui_models.py +++ b/modules/ui_models.py @@ -23,11 +23,11 @@ def create_ui(): dummy_component = gr.Label(visible=False) with gr.Row(elem_id="models_tab"): with gr.Column(elem_id='models_output_container', scale=1): - # models_output = gr.Text(elem_id="models_output", value="", show_label=False) + # models_output = gr.Textbox(elem_id="models_output", value="", show_label=False) gr.HTML(elem_id="models_progress", value="") models_image = gr.Image(elem_id="models_image", show_label=False, interactive=False, type='pil') models_outcome = gr.HTML(elem_id="models_error", value="") - models_file = gr.File(label='', type='file', help='', visible=False) + models_file = gr.File(label='', visible=False) with gr.Column(elem_id='models_input_container', scale=3): @@ -327,7 +327,7 @@ def create_ui(): with gr.Row(): precision = gr.Dropdown(label="Model precision", choices=["fp32", "fp16", "bf16"], value="fp16") comp_scheduler = gr.Dropdown(label="Sampler", choices=[s.name for s in sd_samplers.samplers if s.constructor is not None]) - comp_prediction = gr.Dropdown(Label="Prediction type", choices=["epsilon", "v"], value="epsilon") + comp_prediction = gr.Dropdown(label="Prediction type", choices=["epsilon", "v"], value="epsilon") with gr.Row(): with gr.Column(scale=3): gr.HTML('Merge LoRA
') @@ -349,7 +349,7 @@ def create_ui(): meta_desc = gr.Textbox(placeholder="Model description", lines=3, show_label=False) meta_hint = gr.Textbox(placeholder="Model hint", lines=3, show_label=False) with gr.Column(scale=3): - meta_thumbnail = gr.Image(label="Thumbnail", type='pil', source='upload') + meta_thumbnail = gr.Image(label="Thumbnail", type='pil') with gr.Row(): gr.HTML('Note: Save is optional as you can merge in-memory and use newly created model immediately') with gr.Row(): @@ -357,7 +357,7 @@ def create_ui(): create_safetensors = gr.Checkbox(label="Save safetensors", value=True) debug = gr.Checkbox(label="Debug info", value=False) - model_modules_btn = gr.Button(label="Modules", variant='primary') + model_modules_btn = gr.Button(value="Modules", variant='primary') model_modules_btn.click( fn=extras.run_model_modules, inputs=[ @@ -389,8 +389,6 @@ def create_ui(): show_label=True, interactive=False, wrap=True, - overflow_row_behaviour='paginate', - max_rows=50, ) def list_models(): @@ -452,7 +450,7 @@ def create_ui(): gr.HTML('

 Download model from huggingface

') with gr.Row(): hf_search_text = gr.Textbox('', label='Search models', placeholder='search huggingface models') - hf_search_btn = ToolButton(value=ui_symbols.search, label="Search") + hf_search_btn = ToolButton(value=ui_symbols.search) with gr.Row(): with gr.Column(scale=2): with gr.Row(): @@ -472,7 +470,7 @@ def create_ui(): with gr.Row(): hf_headers = ['Name', 'Pipeline', 'Tags', 'Downloads', 'Updated', 'URL'] hf_types = ['str', 'str', 'str', 'number', 'date', 'markdown'] - hf_results = gr.DataFrame(None, label='Search results', show_label=True, interactive=False, wrap=True, overflow_row_behaviour='paginate', max_rows=10, headers=hf_headers, datatype=hf_types, type='array') + hf_results = gr.DataFrame(None, label='Search results', show_label=True, interactive=False, wrap=True, headers=hf_headers, datatype=hf_types, type='array') hf_search_text.submit(fn=hf_search, inputs=[hf_search_text], outputs=[hf_results]) hf_search_btn.click(fn=hf_search, inputs=[hf_search_text], outputs=[hf_results]) @@ -684,7 +682,7 @@ def create_ui(): with gr.Row(): civit_search_text = gr.Textbox('', label='Search models', placeholder='keyword') civit_search_tag = gr.Textbox('', label='', placeholder='tags') - civit_search_btn = ToolButton(value=ui_symbols.search, label="Search", interactive=True) + civit_search_btn = ToolButton(value=ui_symbols.search, interactive=True) with gr.Row(): civit_search_res = gr.HTML('') with gr.Row(): @@ -704,25 +702,16 @@ def create_ui(): with gr.Row(): civit_headers1 = ['ID', 'Name', 'Tags', 'Downloads', 'Rating'] civit_types1 = ['number', 'str', 'str', 'number', 'number'] - civit_results1 = gr.DataFrame(value=None, label=None, show_label=False, interactive=False, - wrap=True, overflow_row_behaviour='paginate', max_rows=10, - headers=civit_headers1, datatype=civit_types1, type='array', - visible=False) + civit_results1 = gr.DataFrame(value=None, label=None, show_label=False, interactive=False, wrap=True, headers=civit_headers1, datatype=civit_types1, type='array', visible=False) with gr.Row(): with gr.Column(): civit_headers2 = ['ID', 'ModelID', 'Name', 'Base', 'Created', 'Preview'] civit_types2 = ['number', 'number', 'str', 'str', 'date', 'str'] - civit_results2 = gr.DataFrame(value=None, label='Model versions', show_label=True, - interactive=False, wrap=True, overflow_row_behaviour='paginate', - max_rows=10, headers=civit_headers2, datatype=civit_types2, - type='array', visible=False) + civit_results2 = gr.DataFrame(value=None, label='Model versions', show_label=True, interactive=False, wrap=True, headers=civit_headers2, datatype=civit_types2, type='array', visible=False) with gr.Column(): civit_headers3 = ['Name', 'Size', 'Metadata', 'URL'] civit_types3 = ['str', 'number', 'str', 'str'] - civit_results3 = gr.DataFrame(value=None, label='Model variants', show_label=True, - interactive=False, wrap=True, overflow_row_behaviour='paginate', - max_rows=10, headers=civit_headers3, datatype=civit_types3, - type='array', visible=False) + civit_results3 = gr.DataFrame(value=None, label='Model variants', show_label=True, interactive=False, wrap=True, headers=civit_headers3, datatype=civit_types3, type='array', visible=False) def is_visible(component): visible = len(component) > 0 if component is not None else False @@ -751,8 +740,7 @@ def create_ui(): civit_headers4 = ['ID', 'File', 'Name', 'Versions', 'Current', 'Latest', 'Update'] civit_types4 = ['number', 'str', 'str', 'number', 'str', 'str', 'str'] civit_widths4 = ['10%', '25%', '25%', '5%', '10%', '10%', '15%'] - civit_results4 = gr.DataFrame(value=None, label=None, show_label=False, interactive=False, wrap=True, overflow_row_behaviour='paginate', - row_count=20, max_rows=100, headers=civit_headers4, datatype=civit_types4, type='array', column_widths=civit_widths4) + civit_results4 = gr.DataFrame(value=None, label=None, show_label=False, interactive=False, wrap=True, row_count=20, headers=civit_headers4, datatype=civit_types4, type='array', column_widths=civit_widths4) with gr.Row(): gr.HTML('

Select model from the list and download update if available

') with gr.Row(): diff --git a/modules/ui_models_load.py b/modules/ui_models_load.py index 902769365..58e0a0f58 100644 --- a/modules/ui_models_load.py +++ b/modules/ui_models_load.py @@ -284,7 +284,7 @@ def create_ui(gr_status, gr_file): cls = gr.Textbox(label="Model class", placeholder="Class name", interactive=False) with gr.Row(): repo = gr.Textbox(label="Model repo", placeholder="Repo name", interactive=True) - link = gr.HTML(value="", interactive=False) + link = gr.HTML(value="") with gr.Row(): headers = ['ID', 'Name', 'Loadable', 'Default', 'Class', 'Local', 'Remote', 'Dtype', 'Quant'] datatype = ['number', 'str', 'bool', 'str', 'str', 'str', 'str', 'str', 'bool'] @@ -296,8 +296,6 @@ def create_ui(gr_status, gr_file): wrap=True, headers=headers, datatype=datatype, - max_rows=None, - max_cols=None, type='array', elem_id="model_loader_df", ) diff --git a/modules/ui_postprocessing.py b/modules/ui_postprocessing.py index 411fd2e4e..8ed530de7 100644 --- a/modules/ui_postprocessing.py +++ b/modules/ui_postprocessing.py @@ -22,7 +22,7 @@ def create_ui(): with gr.Tabs(elem_id="mode_extras"): with gr.Tab('Process Image', id="single_image", elem_id="extras_single_tab") as tab_single: with gr.Row(): - extras_image = gr.Image(label="Source", source="upload", interactive=True, type="pil", elem_id="extras_image") + extras_image = gr.Image(label="Source", interactive=True, type="pil", elem_id="extras_image") with gr.Tab('Process Batch', id="batch_process", elem_id="extras_batch_process_tab") as tab_batch: image_batch = gr.Files(label="Batch process", interactive=True, elem_id="extras_image_batch") with gr.Tab('Process Folder', id="batch_from_directory", elem_id="extras_batch_directory_tab") as tab_batch_dir: @@ -44,7 +44,7 @@ def create_ui(): result_images, generation_info, html_info, html_info_formatted, html_log = ui_common.create_output_panel("extras") gr.HTML('File metadata') exif_info = gr.HTML(elem_id="pnginfo_html_info") - gen_info = gr.Text(elem_id="pnginfo_gen_info", visible=False) + gen_info = gr.Textbox(elem_id="pnginfo_gen_info", visible=False) with gr.Row(elem_id='copy_buttons_process'): copy_process_buttons = generation_parameters_copypaste.create_buttons(["txt2img", "img2img", "control", "caption"]) diff --git a/modules/ui_sections.py b/modules/ui_sections.py index f516147da..07e396715 100644 --- a/modules/ui_sections.py +++ b/modules/ui_sections.py @@ -87,7 +87,7 @@ def create_resolution_inputs(tab, default_width=1024, default_height=1024): ar_dropdown = gr.Dropdown(show_label=False, interactive=True, choices=ar_list, value=ar_list[0], elem_id=f"{tab}_ar", elem_classes=["ar-dropdown"]) for c in [ar_dropdown, width, height]: c.change(fn=ar_change, inputs=[ar_dropdown, width, height], outputs=[width, height], show_progress=False) - res_switch_btn = ToolButton(value=ui_symbols.switch, elem_id=f"{tab}_res_switch_btn", label="Switch dims") + res_switch_btn = ToolButton(value=ui_symbols.switch, elem_id=f"{tab}_res_switch_btn") res_switch_btn.click(lambda w, h: (h, w), inputs=[width, height], outputs=[width, height], show_progress=False) return width, height @@ -125,8 +125,8 @@ def create_seed_inputs(tab, reuse_visible=True, accordion=True, subseed_visible= with gr.Accordion(open=False, label="Seed", elem_id=f"{tab}_seed_group", elem_classes=["small-accordion"]) if accordion else gr.Group(): with gr.Row(elem_id=f"{tab}_seed_row", variant="compact"): seed = gr.Number(label='Initial seed', value=-1, elem_id=f"{tab}_seed", container=True) - random_seed = ToolButton(ui_symbols.random, elem_id=f"{tab}_random_seed", label='Random seed') - reuse_seed = ToolButton(ui_symbols.reuse, elem_id=f"{tab}_reuse_seed", label='Reuse seed', visible=reuse_visible) + random_seed = ToolButton(ui_symbols.random, elem_id=f"{tab}_random_seed") + reuse_seed = ToolButton(ui_symbols.reuse, elem_id=f"{tab}_reuse_seed", visible=reuse_visible) with gr.Row(elem_id=f"{tab}_subseed_row", variant="compact", visible=subseed_visible): subseed = gr.Number(label='Variation', value=-1, elem_id=f"{tab}_subseed", container=True) random_subseed = ToolButton(ui_symbols.random, elem_id=f"{tab}_random_subseed") diff --git a/modules/ui_settings.py b/modules/ui_settings.py index c28d72c99..6fb9fe1f7 100644 --- a/modules/ui_settings.py +++ b/modules/ui_settings.py @@ -97,7 +97,10 @@ def create_setting_component(key, is_quicksettings=False): res = None if res is not None and not is_quicksettings: - res.change(fn=None, inputs=res, _js=f'(val) => markIfModified("{key}", val)') + try: + res.change(fn=None, inputs=res, _js=f'(val) => markIfModified("{key}", val)') + except Exception as e: + shared.log.error(f'Quicksetting: component={res} {e}') if dirty_indicator is not None: dirty_indicator.click(fn=lambda: shared.opts.get_default(key), outputs=[res], show_progress=False) dirtyable_setting.__exit__() @@ -186,7 +189,7 @@ def create_ui(): preview_theme = gr.Button(value="Preview theme", variant='primary', elem_id="settings_preview_theme") defaults_submit = gr.Button(value="Restore defaults", variant='primary', elem_id="defaults_submit") with gr.Row(): - _settings_search = gr.Text(label="Search", elem_id="settings_search") + _settings_search = gr.Textbox(label="Search", elem_id="settings_search") result = gr.HTML(elem_id="settings_result") script_callbacks.ui_settings_callback() # let extensions create settings diff --git a/modules/ui_video.py b/modules/ui_video.py index 14a2f8bc8..0b08c609e 100644 --- a/modules/ui_video.py +++ b/modules/ui_video.py @@ -92,7 +92,7 @@ def create_ui(): with gr.Row(): engine = gr.Dropdown(label='Engine', choices=list(models_def.models), value='None', elem_id="video_engine") model = gr.Dropdown(label='Model', choices=[''], value=None, elem_id="video_model") - btn_load = ToolButton(ui_symbols.loading, elem_id="video_model_load", label='Load model') + btn_load = ToolButton(ui_symbols.loading, elem_id="video_model_load") with gr.Row(): url = gr.HTML(label='Model URL', elem_id='video_model_url', value='

') with gr.Accordion(open=True, label="Size", elem_id='video_size_accordion'): @@ -101,8 +101,8 @@ def create_ui(): with gr.Row(): frames = gr.Slider(label='Frames', minimum=1, maximum=1024, step=1, value=15, elem_id="video_frames") seed = gr.Number(label='Initial seed', value=-1, elem_id="video_seed", container=True) - random_seed = ToolButton(ui_symbols.random, elem_id="video_random_seed", label='Random seed') - reuse_seed = ToolButton(ui_symbols.reuse, elem_id="video_reuse_seed", label='Reuse seed') + random_seed = ToolButton(ui_symbols.random, elem_id="video_random_seed") + reuse_seed = ToolButton(ui_symbols.reuse, elem_id="video_reuse_seed") with gr.Accordion(open=True, label="Parameters", elem_id='video_parameters_accordion'): steps, sampler_index = ui_sections.create_sampler_and_steps_selection(None, "video") with gr.Row(): diff --git a/scripts/cogvideo.py b/scripts/cogvideo.py index de3c7736c..67022da67 100644 --- a/scripts/cogvideo.py +++ b/scripts/cogvideo.py @@ -42,8 +42,8 @@ class Script(scripts.Script): override = gr.Checkbox(label='Override resolution', value=True) with gr.Accordion('Optional init image or video', open=False): with gr.Row(): - image = gr.Image(value=None, label='Image', type='pil', source='upload', width=256, height=256) - video = gr.Video(value=None, label='Video', source='upload', width=256, height=256) + image = gr.Image(value=None, label='Image', type='pil', width=256, height=256) + video = gr.Video(value=None, label='Video', width=256, height=256) with gr.Row(): from modules.ui_sections import create_video_inputs video_type, duration, loop, pad, interpolate = create_video_inputs(tab='img2img' if is_img2img else 'txt2img') diff --git a/scripts/ctrlx.py b/scripts/ctrlx.py index f372e2a94..30b87c038 100644 --- a/scripts/ctrlx.py +++ b/scripts/ctrlx.py @@ -17,20 +17,20 @@ class Script(scripts.Script): gr.HTML('  Ctrl-X: Controlling Structure and Appearance
') with gr.Accordion(label='Structure', open=True): with gr.Row(): - struct_prompt = gr.Textbox(label='Prompt', value='', rows=1) + struct_prompt = gr.Textbox(label='Prompt', value='') with gr.Row(): struct_strength = gr.Slider(label='Strength', value=0.5, minimum=0.0, maximum=1.0, step=0.05) struct_guidance = gr.Slider(label='Guidance', value=5.0, minimum=0.0, maximum=14.0, step=0.05) with gr.Row(): - struct_image = gr.Image(label='Image', source='upload', type='pil') + struct_image = gr.Image(label='Image', type='pil') with gr.Accordion(label='Appearance', open=True): with gr.Row(): - appear_prompt = gr.Textbox(label='Prompt', value='', rows=1) + appear_prompt = gr.Textbox(label='Prompt', value='') with gr.Row(): appear_strength = gr.Slider(label='Strength', value=0.5, minimum=0.0, maximum=1.0, step=0.05) appear_guidance = gr.Slider(label='Guidance', value=5.0, minimum=0.0, maximum=14.0, step=0.05) with gr.Row(): - appear_image = gr.Image(label='Image', source='upload', type='pil') + appear_image = gr.Image(label='Image', type='pil') return struct_prompt, struct_strength, struct_guidance, struct_image, appear_prompt, appear_strength, appear_guidance, appear_image def restore(self): diff --git a/scripts/differential_diffusion.py b/scripts/differential_diffusion.py index da4ae0e2e..12bbe45e7 100644 --- a/scripts/differential_diffusion.py +++ b/scripts/differential_diffusion.py @@ -1872,7 +1872,7 @@ class Script(scripts.Script): strength = gr.Slider(minimum=0.0, maximum=2.0, value=1.0, label='Mask strength') model = gr.Dropdown(label='Model', choices=['None', 'DPT Tiny', 'DPT Hybrid', 'DPT Large'], value='None') with gr.Row(): - image = gr.Image(label="Image map", show_label=False, type="pil", source="upload", interactive=True, tool="editor", visible=True, image_mode='RGB') + image = gr.Image(label="Image map", show_label=False, type="pil", interactive=True, tool="editor", visible=True, image_mode='RGB') return enabled, strength, invert, model, image def depthmap(self, image_init: Image.Image, image_map: Image.Image, model: str, strength: float, invert: bool): diff --git a/scripts/flux_enhance.py b/scripts/flux_enhance.py index 0ab087e1b..fe5a19445 100644 --- a/scripts/flux_enhance.py +++ b/scripts/flux_enhance.py @@ -73,13 +73,13 @@ class Script(scripts.Script): def ui(self, _is_img2img): with gr.Row(): self.button = gr.Button(value='Enhance prompt') - self.auto_apply = gr.Checkbox(label='Auto apply', default=False) + self.auto_apply = gr.Checkbox(label='Auto apply', value=False) with gr.Row(): self.max_length = gr.Slider(label='Length', minimum=64, maximum=512, step=1, value=128) self.temperature = gr.Slider(label='Temperature', minimum=0.1, maximum=2.0, step=0.05, value=0.7) self.repetition_penalty = gr.Slider(label='Penalty', minimum=0.1, maximum=2.0, step=0.05, value=1.2) with gr.Row(): - self.table = gr.DataFrame(self.prompts, label='', show_label=False, interactive=False, wrap=True, datatype="str", col_count=1, max_rows=num_return_sequences, headers=['Prompts']) + self.table = gr.DataFrame(self.prompts, label='', show_label=False, interactive=False, wrap=True, datatype="str", col_count=1, headers=['Prompts']) if self.prompt is not None: self.button.click(fn=self.enhance, inputs=[self.prompt, self.auto_apply, self.temperature, self.repetition_penalty, self.max_length], outputs=[self.table]) diff --git a/scripts/ipadapter.py b/scripts/ipadapter.py index 51caee67e..98b2a683f 100644 --- a/scripts/ipadapter.py +++ b/scripts/ipadapter.py @@ -66,25 +66,25 @@ class Script(scripts.Script): ui_common.create_refresh_button(adapter, ipadapter.get_adapters) with gr.Row(): scales.append(gr.Slider(label='Strength', minimum=0.0, maximum=1.0, step=0.01, value=0.5)) - crops.append(gr.Checkbox(label='Crop to portrait', default=False, interactive=True)) + crops.append(gr.Checkbox(label='Crop to portrait', value=False, interactive=True)) with gr.Row(): starts.append(gr.Slider(label='Start', minimum=0.0, maximum=1.0, step=0.1, value=0)) ends.append(gr.Slider(label='End', minimum=0.0, maximum=1.0, step=0.1, value=1)) with gr.Row(): - files.append(gr.File(label='Input images', file_count='multiple', file_types=['image'], type='file', interactive=True, height=100)) + files.append(gr.File(label='Input images', file_count='multiple', file_types=['image'], interactive=True, height=100)) with gr.Row(): image_galleries.append(gr.Gallery(show_label=False, value=[], visible=False, container=False, rows=1)) with gr.Row(): - masks.append(gr.File(label='Input masks', file_count='multiple', file_types=['image'], type='file', interactive=True, height=100)) + masks.append(gr.File(label='Input masks', file_count='multiple', file_types=['image'], interactive=True, height=100)) with gr.Row(): mask_galleries.append(gr.Gallery(show_label=False, value=[], visible=False)) files[i].change(fn=self.load_images, inputs=[files[i]], outputs=[image_galleries[i]]) masks[i].change(fn=self.load_images, inputs=[masks[i]], outputs=[mask_galleries[i]]) units.append(unit) num_adapters.change(fn=self.display_units, inputs=[num_adapters], outputs=units) - layers_active = gr.Checkbox(label='Layer options', default=False, interactive=True) + layers_active = gr.Checkbox(label='Layer options', value=False, interactive=True) layers_label = gr.HTML('InstantStyle: advanced layer activation', visible=False) - layers = gr.Text(label='Layer scales', placeholder='{\n"down": {"block_2": [0.0, 1.0]},\n"up": {"block_0": [0.0, 1.0, 0.0]}\n}', rows=1, type='text', interactive=True, lines=5, visible=False, show_label=False) + layers = gr.Textbox(label='Layer scales', placeholder='{\n"down": {"block_2": [0.0, 1.0]},\n"up": {"block_0": [0.0, 1.0, 0.0]}\n}', type='text', interactive=True, lines=5, visible=False, show_label=False) layers_active.change(fn=self.display_advanced, inputs=[layers_active], outputs=[layers_label, layers]) return [num_adapters] + [unload_adapter] + adapters + scales + files + crops + starts + ends + masks + [layers_active] + [layers] diff --git a/scripts/ipinstruct.py b/scripts/ipinstruct.py index 4a94197b1..9add5c41d 100644 --- a/scripts/ipinstruct.py +++ b/scripts/ipinstruct.py @@ -45,7 +45,7 @@ class Script(scripts.Script): with gr.Row(): query = gr.Textbox(lines=1, label='Query', placeholder='use the composition from the image') with gr.Row(): - image = gr.Image(value=None, label='Image', type='pil', source='upload', width=256, height=256) + image = gr.Image(value=None, label='Image', type='pil', width=256, height=256) with gr.Row(): strength = gr.Slider(label="Strength", value=1.0, minimum=0, maximum=2.0, step=0.05) tokens = gr.Slider(label="Tokens", value=4, minimum=1, maximum=32, step=1) diff --git a/scripts/lut.py b/scripts/lut.py index 573222161..265abb2de 100644 --- a/scripts/lut.py +++ b/scripts/lut.py @@ -21,7 +21,8 @@ class Script(scripts.Script): with gr.Row(): original = gr.Checkbox(label='Include original image', value=True) with gr.Row(): - cube_file = gr.File(label='LUT .cube file', type='file', help='Download LUTs from https://luts.iwltbap.com/') + cube_file = gr.File(label='LUT .cube file', help='Download LUTs from https://luts.iwltbap.com/') + # cube_file = gr.File(label='LUT .cube file') with gr.Row(): gr.HTML("
Enhance LUT") with gr.Row(): diff --git a/scripts/pulid_ext.py b/scripts/pulid_ext.py index 366b13d32..1c4b1a696 100644 --- a/scripts/pulid_ext.py +++ b/scripts/pulid_ext.py @@ -86,8 +86,8 @@ class Script(scripts.Script): with gr.Row(): gr.HTML('  PuLID: Pure and Lightning ID Customization
') with gr.Row(): - strength = gr.Slider(label = 'Strength', value = 0.8, mininimum = 0, maximum = 1, step = 0.01) - zero = gr.Slider(label = 'Zero', value = 20, mininimum = 0, maximum = 80, step = 1) + strength = gr.Slider(label = 'Strength', value = 0.8, minimum = 0, maximum = 1, step = 0.01) + zero = gr.Slider(label = 'Zero', value = 20, minimum = 0, maximum = 80, step = 1) with gr.Row(): sampler = gr.Dropdown(label="Sampler", value='dpmpp_sde', choices=['dpmpp_2m', 'dpmpp_2m_sde', 'dpmpp_2s_ancestral', 'dpmpp_3m_sde', 'dpmpp_sde', 'euler', 'euler_ancestral']) ortho = gr.Dropdown(label="Ortho", choices=['off', 'v1', 'v2'], value='v2') @@ -97,7 +97,7 @@ class Script(scripts.Script): restore = gr.Checkbox(label='Restore pipe on end', value=False) offload = gr.Checkbox(label='Offload face module', value=True) with gr.Row(): - files = gr.File(label='Input images', file_count='multiple', file_types=['image'], type='file', interactive=True, height=100) + files = gr.File(label='Input images', file_count='multiple', file_types=['image'], interactive=True, height=100) with gr.Row(): gallery = gr.Gallery(show_label=False, value=[], visible=False, container=False, rows=1) files.change(fn=self.load_images, inputs=[files], outputs=[gallery]) diff --git a/scripts/regional_prompting.py b/scripts/regional_prompting.py index 3d452b0c5..5016d6e2f 100644 --- a/scripts/regional_prompting.py +++ b/scripts/regional_prompting.py @@ -38,8 +38,8 @@ class Script(scripts.Script): mode = gr.Radio(label='Mode', choices=['None', 'Prompt', 'Prompt EX', 'Columns', 'Rows'], value='None') with gr.Row(): power = gr.Slider(label='Power', minimum=0, maximum=1, value=1.0, step=0.01) - threshold = gr.Textbox('', label='Prompt thresholds:', default='', visible=False) - grid = gr.Text('', label='Grid sections:', default='', visible=False) + threshold = gr.Textbox('', label='Prompt thresholds', visible=False) + grid = gr.Textbox('', label='Grid sections', visible=False) mode.change(fn=self.change, inputs=[mode], outputs=[grid, threshold]) return mode, grid, power, threshold diff --git a/scripts/style_aligned.py b/scripts/style_aligned.py index 25feb49bc..7e236972c 100644 --- a/scripts/style_aligned.py +++ b/scripts/style_aligned.py @@ -51,7 +51,7 @@ class Script(scripts.Script): with gr.Row(): prompt = gr.Textbox(lines=1, label='Optional image description', placeholder='use the style from the image') with gr.Row(): - image = gr.Image(label='Optional image', source='upload', type='pil') + image = gr.Image(label='Optional image', type='pil') image.change(self.reset) preset.change(self.preset, inputs=[preset], outputs=[shared_opts, shared_score_scale, shared_score_shift, only_self_level]) diff --git a/wiki b/wiki index de4133d2b..4493798ef 160000 --- a/wiki +++ b/wiki @@ -1 +1 @@ -Subproject commit de4133d2bbeb4b58313ff47f9bd31ff0bbaa21b9 +Subproject commit 4493798efc3fd9a1de8ba37dd4e0ce2ae8efa117 From 18c10883b8f6c4d31b59bdc560308706064c9384 Mon Sep 17 00:00:00 2001 From: Disty0 Date: Wed, 14 May 2025 05:19:11 +0300 Subject: [PATCH 12/18] Move NNCF above in the settings list --- modules/shared.py | 28 ++++++++++++++-------------- 1 file changed, 14 insertions(+), 14 deletions(-) diff --git a/modules/shared.py b/modules/shared.py index 57330a021..5ff558ff5 100644 --- a/modules/shared.py +++ b/modules/shared.py @@ -525,6 +525,20 @@ options_templates.update(options_section(('quantization', "Quantization Settings "bnb_quantization_type": OptionInfo("nf4", "Quantization type", gr.Dropdown, {"choices": ['nf4', 'fp8', 'fp4'], "visible": native}), "bnb_quantization_storage": OptionInfo("uint8", "Backend storage", gr.Dropdown, {"choices": ["float16", "float32", "int8", "uint8", "float64", "bfloat16"], "visible": native}), + "nncf_compress_sep": OptionInfo("

NNCF: Neural Network Compression Framework

", "", gr.HTML), + "nncf_compress_weights": OptionInfo([], "Quantization enabled", gr.CheckboxGroup, {"choices": ["Model", "Transformer", "VAE", "TE", "Video", "LLM", "ControlNet"], "visible": native}), + "nncf_compress_mode": OptionInfo("post", "Quantization mode", gr.Dropdown, {"choices": ['pre', 'post'], "visible": native and not cmd_opts.use_openvino}), + "nncf_compress_weights_mode": OptionInfo("INT8_SYM", "Quantization type", gr.Dropdown, {"choices": ['INT8', 'INT8_SYM', 'INT4_ASYM', 'INT4_SYM', 'NF4'] if cmd_opts.use_openvino else ['INT8', 'INT8_SYM', 'INT4', 'INT4_SYM']}), + "nncf_compress_weights_raito": OptionInfo(0, "Compress ratio", gr.Slider, {"minimum": 0, "maximum": 1, "step": 0.01, "visible": cmd_opts.use_openvino}), + "nncf_compress_weights_group_size": OptionInfo(0, "Group size", gr.Slider, {"minimum": -1, "maximum": 4096, "step": 1, "visible": native}), + "nncf_quantize": OptionInfo([], "OpenVINO enabled", gr.CheckboxGroup, {"choices": ["Model", "VAE", "TE"], "visible": cmd_opts.use_openvino}), + "nncf_quantize_mode": OptionInfo("INT8", "OpenVINO activations mode", gr.Dropdown, {"choices": ['INT8', 'FP8_E4M3', 'FP8_E5M2'], "visible": cmd_opts.use_openvino}), + "nncf_quantize_conv_layers": OptionInfo(False, "Quantize the convolutional layers", gr.Checkbox, {"visible": native and not cmd_opts.use_openvino}), + "nncf_decompress_fp32": OptionInfo(False, "Decompress using full precision", gr.Checkbox, {"visible": native and not cmd_opts.use_openvino}), + "nncf_decompress_compile": OptionInfo(devices.has_triton(), "Decompress using torch.compile", gr.Checkbox, {"visible": native and not cmd_opts.use_openvino}), + "nncf_decompress_int8_matmul": OptionInfo(False, "Use direct INT8 MatMul", gr.Checkbox, {"visible": native and not cmd_opts.use_openvino}), + "nncf_quantize_shuffle_weights": OptionInfo(False, "Shuffle weights in post mode", gr.Checkbox, {"visible": native and not cmd_opts.use_openvino}), + "quanto_quantization_sep": OptionInfo("

Optimum Quanto

", "", gr.HTML), "quanto_quantization": OptionInfo([], "Quantization enabled", gr.CheckboxGroup, {"choices": ["Model", "Transformer", "VAE", "TE", "Video", "LLM", "ControlNet"], "visible": native}), "quanto_quantization_type": OptionInfo("int8", "Quantization weights type", gr.Dropdown, {"choices": ["float8", "int8", "int4", "int2"], "visible": native}), @@ -540,20 +554,6 @@ options_templates.update(options_section(('quantization', "Quantization Settings "torchao_quantization_mode": OptionInfo("pre", "Quantization mode", gr.Dropdown, {"choices": ['pre', 'post'], "visible": native}), "torchao_quantization_type": OptionInfo("int8_weight_only", "Quantization type", gr.Dropdown, {"choices": ['int4_weight_only', 'int8_dynamic_activation_int4_weight', 'int8_weight_only', 'int8_dynamic_activation_int8_weight', 'float8_weight_only', 'float8_dynamic_activation_float8_weight', 'float8_static_activation_float8_weight'], "visible": native}), - "nncf_compress_sep": OptionInfo("

NNCF: Neural Network Compression Framework

", "", gr.HTML), - "nncf_compress_weights": OptionInfo([], "Quantization enabled", gr.CheckboxGroup, {"choices": ["Model", "Transformer", "VAE", "TE", "Video", "LLM", "ControlNet"], "visible": native}), - "nncf_compress_mode": OptionInfo("post", "Quantization mode", gr.Dropdown, {"choices": ['pre', 'post'], "visible": native and not cmd_opts.use_openvino}), - "nncf_compress_weights_mode": OptionInfo("INT8_SYM", "Quantization type", gr.Dropdown, {"choices": ['INT8', 'INT8_SYM', 'INT4_ASYM', 'INT4_SYM', 'NF4'] if cmd_opts.use_openvino else ['INT8', 'INT8_SYM', 'INT4', 'INT4_SYM']}), - "nncf_compress_weights_raito": OptionInfo(0, "Compress ratio", gr.Slider, {"minimum": 0, "maximum": 1, "step": 0.01, "visible": cmd_opts.use_openvino}), - "nncf_compress_weights_group_size": OptionInfo(0, "Group size", gr.Slider, {"minimum": -1, "maximum": 4096, "step": 1, "visible": native}), - "nncf_quantize": OptionInfo([], "OpenVINO enabled", gr.CheckboxGroup, {"choices": ["Model", "VAE", "TE"], "visible": cmd_opts.use_openvino}), - "nncf_quantize_mode": OptionInfo("INT8", "OpenVINO activations mode", gr.Dropdown, {"choices": ['INT8', 'FP8_E4M3', 'FP8_E5M2'], "visible": cmd_opts.use_openvino}), - "nncf_quantize_conv_layers": OptionInfo(False, "Quantize the convolutional layers", gr.Checkbox, {"visible": native and not cmd_opts.use_openvino}), - "nncf_decompress_fp32": OptionInfo(False, "Decompress using full precision", gr.Checkbox, {"visible": native and not cmd_opts.use_openvino}), - "nncf_decompress_compile": OptionInfo(devices.has_triton(), "Decompress using torch.compile", gr.Checkbox, {"visible": native and not cmd_opts.use_openvino}), - "nncf_decompress_int8_matmul": OptionInfo(False, "Use direct INT8 MatMul", gr.Checkbox, {"visible": native and not cmd_opts.use_openvino}), - "nncf_quantize_shuffle_weights": OptionInfo(False, "Shuffle weights in post mode", gr.Checkbox, {"visible": native and not cmd_opts.use_openvino}), - "layerwise_quantization_sep": OptionInfo("

Layerwise Casting

", "", gr.HTML), "layerwise_quantization": OptionInfo([], "Layerwise casting enabled", gr.CheckboxGroup, {"choices": ["Model", "Transformer", "TE"], "visible": native}), "layerwise_quantization_storage": OptionInfo("float8_e4m3fn", "Layerwise casting storage", gr.Dropdown, {"choices": ["float8_e4m3fn", "float8_e5m2"], "visible": native}), From 8330052d19df91416405ed2878b909ebc3f9ad6e Mon Sep 17 00:00:00 2001 From: Seunghoon Lee Date: Wed, 14 May 2025 13:22:26 +0900 Subject: [PATCH 13/18] zluda 3.9.5 & torch 2.7.0 --- installer.py | 2 +- modules/zluda_installer.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/installer.py b/installer.py index dcc04b6b1..9cadc219e 100644 --- a/installer.py +++ b/installer.py @@ -655,7 +655,7 @@ def install_rocm_zluda(): if error is None: try: zluda_installer.load() - torch_command = os.environ.get('TORCH_COMMAND', 'torch==2.6.0 torchvision --index-url https://download.pytorch.org/whl/cu118') + torch_command = os.environ.get('TORCH_COMMAND', 'torch==2.7.0 torchvision --index-url https://download.pytorch.org/whl/cu118') except Exception as e: error = e log.warning(f'Failed to load ZLUDA: {e}') diff --git a/modules/zluda_installer.py b/modules/zluda_installer.py index 027c4f2ca..3afeb4680 100644 --- a/modules/zluda_installer.py +++ b/modules/zluda_installer.py @@ -78,7 +78,7 @@ def install(): return platform = "windows" - commit = os.environ.get("ZLUDA_HASH", "8d2128caf460b853b165cab0b4d8826b6b734ae7") + commit = os.environ.get("ZLUDA_HASH", "5e717459179dc272b7d7d23391f0fad66c7459cf") if os.environ.get("ZLUDA_NIGHTLY", "0") == "1": log.warning("Environment variable 'ZLUDA_NIGHTLY' will be removed. Please use command-line argument '--use-nightly' instead.") args.use_nightly = True From f52aec36a889ecaf4df5c74ab793d89b90710543 Mon Sep 17 00:00:00 2001 From: Vladimir Mandic Date: Wed, 14 May 2025 10:47:54 -0400 Subject: [PATCH 14/18] update changelog/todo Signed-off-by: Vladimir Mandic --- CHANGELOG.md | 6 +++++- TODO.md | 2 ++ requirements.txt | 2 +- wiki | 2 +- 4 files changed, 9 insertions(+), 3 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 65a2d2496..81ab2d9f9 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,6 +1,6 @@ # Change Log for SD.Next -## Update for 2025-05-13 +## Update for 2025-05-14 Curious how your system is performing? Run a built-in benchmark and compare to over 15k unique results world-wide: (Benchmark data)[https://vladmandic.github.io/sd-extension-system-info/pages/benchmark.html]! @@ -9,9 +9,13 @@ From slowest 0.02 it/s running on 6th gen CPU without acceleration up to 275 it/ Also, since quantization is becoming a necessity for almost all new models, see comparison of different quantization methods available in SD.Next: [Quantization](https://vladmandic.github.io/sdnext-docs/Quantization/) *Hint*: Even if you may not need quantization for your current model, it may be worth trying it out as it can significantly improve performance! +For ZLUDA users, this update adds [compatibility](https://github.com/vladmandic/sdnext/issues/3918) with with latest AMD Adrenaline drivers + - **Wiki** - Updates for: *Quantization, NNCF, WSL, ZLUDA, ROCm* - **Compute** + - ZLUDA: update to `zluda==3.9.5` with `torch==2.7.0` + *Note*: delete `.zluda` folder so that newest zluda will be installed if you are using the latest AMD Adrenaline driver - NNCF: added experimental support for direct INT8 MatMul - **Feature** - Prompt Enhance: option to allow/disallow NSFW content diff --git a/TODO.md b/TODO.md index 75150e7dd..64ff93039 100644 --- a/TODO.md +++ b/TODO.md @@ -20,6 +20,8 @@ N/A - [LTXVideo-0.9.7](https://github.com/huggingface/diffusers/pull/11516) - [VisualClose](https://github.com/huggingface/diffusers/pull/11377) - [SEVA](https://github.com/huggingface/diffusers/pull/11440) +- [CausVid-Plus](https://github.com/goatWu/CausVid-Plus/) +- [JoyCaption-Beta-One](https://huggingface.co/fancyfeast/llama-joycaption-beta-one-hf-llava) - [Diffusers guiders](https://github.com/huggingface/diffusers/pull/11311) - [Nunchaku PulID](https://github.com/mit-han-lab/nunchaku/pull/274) - [Pydantic changes](https://github.com/Cschlaefli/automatic) diff --git a/requirements.txt b/requirements.txt index 663999c1d..3c267794f 100644 --- a/requirements.txt +++ b/requirements.txt @@ -45,7 +45,7 @@ accelerate==1.6.0 opencv-contrib-python-headless==4.9.0.80 einops==0.4.1 gradio==3.43.2 -huggingface_hub==0.31.1 +huggingface_hub==0.31.2 numexpr==2.10.2 numpy==1.26.4 numba==0.61.2 diff --git a/wiki b/wiki index 4493798ef..e3b0583b6 160000 --- a/wiki +++ b/wiki @@ -1 +1 @@ -Subproject commit 4493798efc3fd9a1de8ba37dd4e0ce2ae8efa117 +Subproject commit e3b0583b659c5b6adc49381f00caeee3b66b5b7e From 5c0e3b635c3b9845f59a5b7b9e312c8619d2f3c6 Mon Sep 17 00:00:00 2001 From: Vladimir Mandic Date: Wed, 14 May 2025 13:30:52 -0400 Subject: [PATCH 15/18] update diffusers and lint/changelog/todo Signed-off-by: Vladimir Mandic --- CHANGELOG.md | 6 ++++-- TODO.md | 5 ++--- installer.py | 2 +- modules/lora/lora_apply.py | 2 +- 4 files changed, 8 insertions(+), 7 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 81ab2d9f9..61c9720d3 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -2,15 +2,17 @@ ## Update for 2025-05-14 -Curious how your system is performing? +*Curious how your system is performing?* Run a built-in benchmark and compare to over 15k unique results world-wide: (Benchmark data)[https://vladmandic.github.io/sd-extension-system-info/pages/benchmark.html]! -From slowest 0.02 it/s running on 6th gen CPU without acceleration up to 275 it/s running on tuned GH100 system! +From slowest 0.02 it/s running on 6th gen CPU without acceleration up to 275+ it/s running on tuned GH100 system! Also, since quantization is becoming a necessity for almost all new models, see comparison of different quantization methods available in SD.Next: [Quantization](https://vladmandic.github.io/sdnext-docs/Quantization/) *Hint*: Even if you may not need quantization for your current model, it may be worth trying it out as it can significantly improve performance! For ZLUDA users, this update adds [compatibility](https://github.com/vladmandic/sdnext/issues/3918) with with latest AMD Adrenaline drivers +Btw, last few releases have been smaller, but more regular so do check posts about previous releases as features do quickly add up! + - **Wiki** - Updates for: *Quantization, NNCF, WSL, ZLUDA, ROCm* - **Compute** diff --git a/TODO.md b/TODO.md index 64ff93039..3123f94c5 100644 --- a/TODO.md +++ b/TODO.md @@ -38,14 +38,13 @@ N/A - loader: load receipe - loader: save receipe - lora: add other quantization types +- lora: add t5 key support for sd35/f1 - lora: maybe force imediate quantization -- lora: add t5 key support for sd35/f16 -- lora: support pre-quantized flux - model load: force-reloading entire model as loading transformers only leads to massive memory usage - model loader: implement model in-memory caching - modernui: monkey-patch for missing tabs.select event +- modules/lora/lora_extract.py:185:9: W0511: TODO: lora: support pre-quantized flux - nunchaku: batch support - nunchaku: cache-dir for transformer and t5 loader - processing: remove duplicate mask params - resize image: enable full VAE mode for resize-latent - \ No newline at end of file diff --git a/installer.py b/installer.py index 9cadc219e..0137b41e7 100644 --- a/installer.py +++ b/installer.py @@ -546,7 +546,7 @@ def check_diffusers(): t_start = time.time() if args.skip_all or args.skip_git or args.experimental: return - sha = '0ba1f76d4dde6d25b33dbdca73b6aa21bb682c56' # diffusers commit hash + sha = 'f4fa3beee7f49b80ce7a58f9c8002f43299175c9' # diffusers commit hash pkg = pkg_resources.working_set.by_key.get('diffusers', None) minor = int(pkg.version.split('.')[1] if pkg is not None else 0) cur = opts.get('diffusers_version', '') if minor > 0 else '' diff --git a/modules/lora/lora_apply.py b/modules/lora/lora_apply.py index 0edef9831..68f723188 100644 --- a/modules/lora/lora_apply.py +++ b/modules/lora/lora_apply.py @@ -151,7 +151,7 @@ def network_add_weights(self: Union[torch.nn.Conv2d, torch.nn.Linear, torch.nn.G new_weight = dequant_weight.to(devices.device, dtype=torch.float32) + lora_weights.to(devices.device, dtype=torch.float32) self.weight = torch.nn.Parameter(new_weight, requires_grad=False) self.pre_ops.pop("0") - self._custom_forward_fn = None + self._custom_forward_fn = None # pylint: disable=protected-access self = nncf_compress_layer(self, num_bits, is_asym_mode, torch_dtype=devices.dtype, quant_conv=shared.opts.nncf_quantize_conv_layers, group_size=shared.opts.nncf_compress_weights_group_size, use_int8_matmul=shared.opts.nncf_decompress_int8_matmul) self = self.to(device) del dequant_weight From 39135c1d0a77a963649f6721d4d733f81bbf82c2 Mon Sep 17 00:00:00 2001 From: Vladimir Mandic Date: Thu, 15 May 2025 08:51:03 -0400 Subject: [PATCH 16/18] ui-defaults match correct prompt component Signed-off-by: Vladimir Mandic --- CHANGELOG.md | 1 + modules/ui_loadsave.py | 8 ++++++-- scripts/flux_enhance.py | 1 + scripts/prompt_enhance.py | 2 ++ 4 files changed, 10 insertions(+), 2 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 61c9720d3..fa26da957 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -25,6 +25,7 @@ Btw, last few releases have been smaller, but more regular so do check posts abo - OpenVINO: force cpu device - Gradio: major cleanup and fixing defaults and ranges - Pydantic: update to api types + - UI defaults: match correct prompt components ## Update for 2025-05-12 diff --git a/modules/ui_loadsave.py b/modules/ui_loadsave.py index 594b44c1d..79efbff62 100644 --- a/modules/ui_loadsave.py +++ b/modules/ui_loadsave.py @@ -26,7 +26,9 @@ class UiLoadsave: def apply_field(obj, field, condition=None, init_field=None): key = f"{path}/{field}" - if getattr(obj, 'custom_script_source', None) is not None: + if hasattr(obj, 'use_original'): + pass + elif getattr(obj, 'custom_script_source', None) is not None: key = f"customscript/{obj.custom_script_source}/{key}" if getattr(obj, 'do_not_save_to_config', False): return @@ -45,7 +47,9 @@ class UiLoadsave: init_field(saved_value) if debug_ui and key in self.component_mapping and not key.startswith('customscript'): errors.log.warning(f'UI duplicate: key="{key}" id={getattr(obj, "elem_id", None)} class={getattr(obj, "elem_classes", None)}') - if field == 'value' and key not in self.component_mapping: + if hasattr(obj, 'skip'): + print('HERE', key) + if (field == 'value') and (key not in self.component_mapping): self.component_mapping[key] = x if field == 'open' and key not in self.component_mapping: self.component_open[key] = x diff --git a/scripts/flux_enhance.py b/scripts/flux_enhance.py index fe5a19445..72eb76d4e 100644 --- a/scripts/flux_enhance.py +++ b/scripts/flux_enhance.py @@ -100,3 +100,4 @@ class Script(scripts.Script): def after_component(self, component, **kwargs): # searching for actual ui prompt components if getattr(component, 'elem_id', '') in ['txt2img_prompt', 'img2img_prompt', 'control_prompt', 'video_prompt']: self.prompt = component + self.prompt.use_original = True diff --git a/scripts/prompt_enhance.py b/scripts/prompt_enhance.py index b954cd053..8b11dfcb5 100644 --- a/scripts/prompt_enhance.py +++ b/scripts/prompt_enhance.py @@ -470,8 +470,10 @@ class Script(scripts.Script): def after_component(self, component, **kwargs): # searching for actual ui prompt components if getattr(component, 'elem_id', '') in ['txt2img_prompt', 'img2img_prompt', 'control_prompt', 'video_prompt']: self.prompt = component + self.prompt.use_original = True if getattr(component, 'elem_id', '') in ['img2img_image', 'control_input_select']: self.image = component + self.image.use_original = True def before_process(self, p: processing.StableDiffusionProcessing, *args, **kwargs): # pylint: disable=unused-argument _self_prompt, self_image, apply_auto, llm_model, prompt_system, prompt_prefix, prompt_suffix, max_tokens, do_sample, temperature, repetition_penalty, thinking_mode, nsfw_mode = args From 41573362388ed4456b967b037d461d488e7734fe Mon Sep 17 00:00:00 2001 From: Vladimir Mandic Date: Thu, 15 May 2025 08:59:49 -0400 Subject: [PATCH 17/18] rename vae Signed-off-by: Vladimir Mandic --- CHANGELOG.md | 2 +- html/locale_de.json | 2 +- html/locale_en.json | 4 ++-- html/locale_es.json | 4 ++-- html/locale_fr.json | 4 ++-- html/locale_hr.json | 4 ++-- html/locale_it.json | 8 ++++---- html/locale_ja.json | 4 ++-- html/locale_ko.json | 6 +++--- html/locale_pt.json | 4 ++-- html/locale_ru.json | 4 ++-- html/locale_zh.json | 2 +- html/override_ko.json | 2 +- modules/shared.py | 2 +- 14 files changed, 26 insertions(+), 26 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index fa26da957..97c199892 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -988,7 +988,7 @@ Commit hash: `master: #dcfc9f3` `dev: #935cac6` - optimizations: full offload, quantization and tiling support - [TeaCache](https://github.com/ali-vilab/TeaCache/blob/main/TeaCache4LTX-Video/README.md) integration - **VAE**: - - tiling granular options in *settings -> variable auto encoder* + - tiling granular options in *settings -> Variational Auto Encoder* - **UI**: - live preview optimizations and error handling - live preview high quality output, thanks @Disty0 diff --git a/html/locale_de.json b/html/locale_de.json index 881157b8f..e515baca2 100644 --- a/html/locale_de.json +++ b/html/locale_de.json @@ -1402,7 +1402,7 @@ }, { "id": "", - "label": "Variable Auto Encoder", + "label": "Variational Auto Encoder", "localized": "Variabler Auto-Encoder", "hint": "Einstellungen bezรผglich variablem Auto-Encoder und Bilddekodierungsprozess wรคhrend der Generierung" }, diff --git a/html/locale_en.json b/html/locale_en.json index 400eb316b..f7bdaae06 100644 --- a/html/locale_en.json +++ b/html/locale_en.json @@ -59,7 +59,7 @@ {"id":"","label":"Hypernetwork","localized":"","hint":"Small trained neural network that modifies behavior of the loaded model"}, {"id":"","label":"VLM Caption","localized":"","hint":"Analyze image using vision langugage model"}, {"id":"","label":"CLiP Interrogate","localized":"","hint":"Analyze image using CLiP model"}, - {"id":"","label":"VAE","localized":"","hint":"Variable Auto Encoder: model used to run image decode at the end of generate"}, + {"id":"","label":"VAE","localized":"","hint":"Variational Auto Encoder: model used to run image decode at the end of generate"}, {"id":"","label":"History","localized":"","hint":"List of previous generations that can be further reprocessed"}, {"id":"","label":"UI disable variable aspect ratio","localized":"","hint":"When disabled, all thumbnails appear as squared images"}, {"id":"","label":"Build info on first access","localized":"","hint":"Prevents server from building EN page on server startup and instead build it when requested"}, @@ -247,7 +247,7 @@ {"id":"","label":"Unload model","localized":"","hint":"Unload currently loaded model"}, {"id":"","label":"Reload model","localized":"","hint":"Reload currently selected model"}, {"id":"","label":"Models & Loading","localized":"","hint":"Settings related to base models, primary backend and model load behavior"}, - {"id":"","label":"Variable Auto Encoder","localized":"","hint":"Settings related to variable auto encoder and image decoding process during generate"}, + {"id":"","label":"Variational Auto Encoder","localized":"","hint":"Settings related to Variational Auto Encoder and image decoding process during generate"}, {"id":"","label":"Text encoder","localized":"","hint":"Settings related to text encoder and prompt encoding processing during generate"}, {"id":"","label":"Compute Settings","localized":"","hint":"Settings related to compute precision, cross attention, and optimizations for computing platforms"}, {"id":"","label":"Backend Settings","localized":"","hint":"Settings related to compute backends: torch, onnx and olive"}, diff --git a/html/locale_es.json b/html/locale_es.json index aa9e014b2..20bc84cd8 100644 --- a/html/locale_es.json +++ b/html/locale_es.json @@ -324,7 +324,7 @@ "id": "", "label": "VAE", "localized": "VAE", - "hint": "Variable Auto Encoder: modelo usado para ejecutar la decodificaciรณn de la imagen al final de la generaciรณn" + "hint": "Variational Auto Encoder: modelo usado para ejecutar la decodificaciรณn de la imagen al final de la generaciรณn" }, { "id": "", @@ -1402,7 +1402,7 @@ }, { "id": "", - "label": "Variable Auto Encoder", + "label": "Variational Auto Encoder", "localized": "Autoencoder Variable", "hint": "Configuraciรณn relacionada con el autoencoder variable y el proceso de decodificaciรณn de imรกgenes durante la generaciรณn" }, diff --git a/html/locale_fr.json b/html/locale_fr.json index 1cb18b02a..d5cc393c9 100644 --- a/html/locale_fr.json +++ b/html/locale_fr.json @@ -324,7 +324,7 @@ "id": "", "label": "VAE", "localized": "VAE", - "hint": "Variable Auto Encoderย : modรจle utilisรฉ pour exรฉcuter le dรฉcodage d'image ร  la fin de la gรฉnรฉration" + "hint": "Variational Auto Encoderย : modรจle utilisรฉ pour exรฉcuter le dรฉcodage d'image ร  la fin de la gรฉnรฉration" }, { "id": "", @@ -1402,7 +1402,7 @@ }, { "id": "", - "label": "Variable Auto Encoder", + "label": "Variational Auto Encoder", "localized": "Encodeur automatique variable", "hint": "Paramรจtres liรฉs ร  l'encodeur automatique variable et au processus de dรฉcodage d'image pendant la gรฉnรฉration" }, diff --git a/html/locale_hr.json b/html/locale_hr.json index 5c3699520..4cef6472c 100644 --- a/html/locale_hr.json +++ b/html/locale_hr.json @@ -324,7 +324,7 @@ "id": "", "label": "VAE", "localized": "VAE", - "hint": "Variable Auto Encoder: model koji se koristi za pokretanje dekodiranja slike na kraju generiranja" + "hint": "Variational Auto Encoder: model koji se koristi za pokretanje dekodiranja slike na kraju generiranja" }, { "id": "", @@ -1402,7 +1402,7 @@ }, { "id": "", - "label": "Variable Auto Encoder", + "label": "Variational Auto Encoder", "localized": "Varijabilni Auto Encoder", "hint": "Postavke vezane uz varijabilni auto encoder i proces dekodiranja slike tijekom generiranja" }, diff --git a/html/locale_it.json b/html/locale_it.json index 90b29a2b3..c2fd7b2c9 100644 --- a/html/locale_it.json +++ b/html/locale_it.json @@ -324,7 +324,7 @@ "id": "", "label": "VAE", "localized": "VAE", - "hint": "Variable Auto Encoder: modello utilizzato per eseguire la decodifica dell'immagine alla fine della generazione" + "hint": "Variational Auto Encoder: modello utilizzato per eseguire la decodifica dell'immagine alla fine della generazione" }, { "id": "", @@ -1402,9 +1402,9 @@ }, { "id": "", - "label": "Variable Auto Encoder", - "localized": "Variable Auto Encoder", - "hint": "Impostazioni relative al variable auto encoder e al processo di decodifica delle immagini durante la generazione" + "label": "Variational Auto Encoder", + "localized": "Variational Auto Encoder", + "hint": "Impostazioni relative al Variational Auto Encoder e al processo di decodifica delle immagini durante la generazione" }, { "id": "", diff --git a/html/locale_ja.json b/html/locale_ja.json index e89fe5df0..e828daf5a 100644 --- a/html/locale_ja.json +++ b/html/locale_ja.json @@ -324,7 +324,7 @@ "id": "", "label": "VAE", "localized": "VAE", - "hint": "Variable Auto Encoder๏ผš็”Ÿๆˆใฎๆœ€ๅพŒใซใ‚คใƒกใƒผใ‚ธใƒ‡ใ‚ณใƒผใƒ‰ใ‚’ๅฎŸ่กŒใ™ใ‚‹ใŸใ‚ใซไฝฟ็”จใ•ใ‚Œใ‚‹ใƒขใƒ‡ใƒซ" + "hint": "Variational Auto Encoder๏ผš็”Ÿๆˆใฎๆœ€ๅพŒใซใ‚คใƒกใƒผใ‚ธใƒ‡ใ‚ณใƒผใƒ‰ใ‚’ๅฎŸ่กŒใ™ใ‚‹ใŸใ‚ใซไฝฟ็”จใ•ใ‚Œใ‚‹ใƒขใƒ‡ใƒซ" }, { "id": "", @@ -1402,7 +1402,7 @@ }, { "id": "", - "label": "Variable Auto Encoder", + "label": "Variational Auto Encoder", "localized": "ๅฏๅค‰ใ‚ชใƒผใƒˆใ‚จใƒณใ‚ณใƒผใƒ€ใƒผ", "hint": "็”Ÿๆˆๆ™‚ใฎๅฏๅค‰ใ‚ชใƒผใƒˆใ‚จใƒณใ‚ณใƒผใƒ€ใƒผใจ็”ปๅƒใƒ‡ใ‚ณใƒผใƒ‰ใƒ—ใƒญใ‚ปใ‚นใซ้–ขใ™ใ‚‹่จญๅฎšใ€‚" }, diff --git a/html/locale_ko.json b/html/locale_ko.json index 8c3d5a24a..09b474ebf 100644 --- a/html/locale_ko.json +++ b/html/locale_ko.json @@ -324,7 +324,7 @@ "id": "", "label": "VAE", "localized": "VAE", - "hint": "Variable Auto Encoder: ์ƒ์„ฑ ์ข…๋ฃŒ ์‹œ ์ด๋ฏธ์ง€ ๋””์ฝ”๋“œ๋ฅผ ์‹คํ–‰ํ•˜๋Š” ๋ฐ ์‚ฌ์šฉ๋˜๋Š” ๋ชจ๋ธ" + "hint": "Variational Auto Encoder: ์ƒ์„ฑ ์ข…๋ฃŒ ์‹œ ์ด๋ฏธ์ง€ ๋””์ฝ”๋“œ๋ฅผ ์‹คํ–‰ํ•˜๋Š” ๋ฐ ์‚ฌ์šฉ๋˜๋Š” ๋ชจ๋ธ" }, { "id": "", @@ -1402,8 +1402,8 @@ }, { "id": "", - "label": "Variable Auto Encoder", - "localized": "Variable Auto Encoder", + "label": "Variational Auto Encoder", + "localized": "Variational Auto Encoder", "hint": "๊ฐ€๋ณ€ ์ž๋™ ์ธ์ฝ”๋” ๋ฐ ์ƒ์„ฑ ์ค‘ ์ด๋ฏธ์ง€ ๋””์ฝ”๋”ฉ ํ”„๋กœ์„ธ์Šค์™€ ๊ด€๋ จ๋œ ์„ค์ •์ž…๋‹ˆ๋‹ค." }, { diff --git a/html/locale_pt.json b/html/locale_pt.json index a6d1f9ee6..3af95f79b 100644 --- a/html/locale_pt.json +++ b/html/locale_pt.json @@ -324,7 +324,7 @@ "id": "", "label": "VAE", "localized": "VAE", - "hint": "Variable Auto Encoder: modelo usado para executar a decodificaรงรฃo da imagem no final da geraรงรฃo" + "hint": "Variational Auto Encoder: modelo usado para executar a decodificaรงรฃo da imagem no final da geraรงรฃo" }, { "id": "", @@ -1402,7 +1402,7 @@ }, { "id": "", - "label": "Variable Auto Encoder", + "label": "Variational Auto Encoder", "localized": "Auto Encoder Variรกvel", "hint": "Configuraรงรตes relacionadas ao auto encoder variรกvel e ao processo de decodificaรงรฃo de imagem durante a geraรงรฃo" }, diff --git a/html/locale_ru.json b/html/locale_ru.json index 438ac9f47..80cb478e6 100644 --- a/html/locale_ru.json +++ b/html/locale_ru.json @@ -324,7 +324,7 @@ "id": "", "label": "VAE", "localized": "VAE", - "hint": "Variable Auto Encoder: ะผะพะดะตะปัŒ, ะธัะฟะพะปัŒะทัƒะตะผะฐั ะดะปั ะทะฐะฟัƒัะบะฐ ะดะตะบะพะดะธั€ะพะฒะฐะฝะธั ะธะทะพะฑั€ะฐะถะตะฝะธั ะฒ ะบะพะฝั†ะต ะณะตะฝะตั€ะฐั†ะธะธ" + "hint": "Variational Auto Encoder: ะผะพะดะตะปัŒ, ะธัะฟะพะปัŒะทัƒะตะผะฐั ะดะปั ะทะฐะฟัƒัะบะฐ ะดะตะบะพะดะธั€ะพะฒะฐะฝะธั ะธะทะพะฑั€ะฐะถะตะฝะธั ะฒ ะบะพะฝั†ะต ะณะตะฝะตั€ะฐั†ะธะธ" }, { "id": "", @@ -1402,7 +1402,7 @@ }, { "id": "", - "label": "Variable Auto Encoder", + "label": "Variational Auto Encoder", "localized": "ะ’ะฐั€ะธะฐั‚ะธะฒะฝั‹ะน ะฐะฒั‚ะพัะฝะบะพะดะตั€", "hint": "ะะฐัั‚ั€ะพะนะบะธ, ัะฒัะทะฐะฝะฝั‹ะต ั ะฒะฐั€ะธะฐั‚ะธะฒะฝั‹ะผ ะฐะฒั‚ะพัะฝะบะพะดะตั€ะพะผ ะธ ะฟั€ะพั†ะตััะพะผ ะดะตะบะพะดะธั€ะพะฒะฐะฝะธั ะธะทะพะฑั€ะฐะถะตะฝะธะน ะฒะพ ะฒั€ะตะผั ะณะตะฝะตั€ะฐั†ะธะธ" }, diff --git a/html/locale_zh.json b/html/locale_zh.json index 7149b38a0..4664bb3f5 100644 --- a/html/locale_zh.json +++ b/html/locale_zh.json @@ -1402,7 +1402,7 @@ }, { "id": "", - "label": "Variable Auto Encoder", + "label": "Variational Auto Encoder", "localized": "ๅฏๅ˜่‡ชๅŠจ็ผ–็ ๅ™จ", "hint": "ไธŽๅฏๅ˜่‡ชๅŠจ็ผ–็ ๅ™จๅ’Œ็”Ÿๆˆ่ฟ‡็จ‹ไธญๅ›พๅƒ่งฃ็ ่ฟ‡็จ‹็›ธๅ…ณ็š„่ฎพ็ฝฎ" }, diff --git a/html/override_ko.json b/html/override_ko.json index 2351d0325..e4ff1b898 100644 --- a/html/override_ko.json +++ b/html/override_ko.json @@ -1 +1 @@ -[{"id":"","label":"๐ŸŽฒ๏ธ","localized":"","hint":"๋ฌด์ž‘์œ„ ์‹œ๋“œ ์‚ฌ์šฉ"},{"id":"","label":"๐Ÿ”„","localized":"","hint":"์ดˆ๊ธฐํ™”"},{"id":"","label":"๐Ÿ”Ž๏ธŽ","localized":"","hint":"๋ˆ„๋ฝ๋œ ๋ฉ”ํƒ€๋ฐ์ดํ„ฐ ๋ฐ ๋ฏธ๋ฆฌ๋ณด๊ธฐ๋ฅผ CivitAI์—์„œ ๊ฒ€์ƒ‰"},{"id":"","label":"Prompt","localized":"ํ”„๋กฌํ”„ํŠธ","hint":"์ƒ์„ฑํ•˜๊ณ  ์‹ถ์€ ์ด๋ฏธ์ง€์— ๋Œ€ํ•ด ์„ค๋ช…ํ•˜์„ธ์š”"},{"id":"","label":"Negative prompt","localized":"๋„ค๊ฑฐํ‹ฐ๋ธŒ ํ”„๋กฌํ”„ํŠธ","hint":"์ƒ์„ฑ๋œ ์ด๋ฏธ์ง€์—์„œ ๋ณด๊ณ  ์‹ถ์ง€ ์•Š์€ ๊ฒƒ์— ๋Œ€ํ•ด ์„ค๋ช…ํ•˜์„ธ์š”"},{"id":"","label":"Interrogate","localized":"","hint":"์ด๋ฏธ์ง€ ์„ค๋ช…์„ ์–ป๊ธฐ ์œ„ํ•ด Interrogate ์‹คํ–‰"},{"id":"","label":"Agent Scheduler","localized":"์ž‘์—… ์Šค์ผ€์ค„๋Ÿฌ","hint":"์ƒ์„ฑ ์š”์ฒญ์„ ๋Œ€๊ธฐ์—ด์— ๋„ฃ๊ณ  ๋ฐฑ๊ทธ๋ผ์šด๋“œ์—์„œ ์‹คํ–‰"},{"id":"","label":"System","localized":"์‹œ์Šคํ…œ ์„ค์ •","hint":"์‹œ์Šคํ…œ ์„ค์ • ๋ฐ ์ •๋ณด"},{"id":"","label":"Generate","localized":"์ƒ์„ฑ","hint":"์ž‘์—… ์‹œ์ž‘"},{"id":"","label":"Stop","localized":"์ค‘์ง€","hint":"์ž‘์—… ์ค‘์ง€"},{"id":"","label":"Skip","localized":"๊ฑด๋„ˆ๋›ฐ๊ธฐ","hint":"ํ˜„์žฌ ์ž‘์—…์„ ๊ฑด๋„ˆ๋›ฐ๊ณ  ๋‹ค์Œ ์ž‘์—… ์‹œ์ž‘"},{"id":"","label":"Pause","localized":"์ผ์‹œ ์ค‘์ง€","hint":"์ž‘์—… ์ผ์‹œ ์ค‘์ง€"},{"id":"","label":"Restore","localized":"๋ณต์›","hint":"ํ˜„์žฌ ํ”„๋กฌํ”„ํŠธ ๋˜๋Š” ๋งˆ์ง€๋ง‰์œผ๋กœ ์ƒ์„ฑ๋œ ์ด๋ฏธ์ง€์—์„œ ๋งค๊ฐœ๋ณ€์ˆ˜ ๋ณต์›"},{"id":"","label":"Default strength","localized":"๊ธฐ๋ณธ ๊ฐ•๋„","hint":"LoRA์™€ ๊ฐ™์€ ์ถ”๊ฐ€ ๋„คํŠธ์›Œํฌ๋ฅผ ํ”„๋กฌํ”„ํŠธ์— ์ถ”๊ฐ€ํ•  ๋•Œ ์‚ฌ์šฉ๋  ๊ธฐ๋ณธ ๊ฐ•๋„"},{"id":"","label":"Embedding","localized":"์ž„๋ฒ ๋”ฉ","hint":"Textual inversion embedding. ํŠน์ • ์ฃผ์ œ์— ๋Œ€ํ•ด ํ›ˆ๋ จ๋œ ๋ณด์กฐ ๋ชจ๋ธ"},{"id":"","label":"Hypernetwork","localized":"ํ•˜์ดํผ ๋„คํŠธ์›Œํฌ","hint":"๋กœ๋“œ๋œ ๋ชจ๋ธ์˜ ๋™์ž‘์„ ์ˆ˜์ •ํ•˜๋Š” ๋ณด์กฐ ๋ชจ๋ธ"},{"id":"","label":"VAE","localized":"VAE","hint":"Variable Auto Encoder. ์ƒ์„ฑ ๋งˆ์ง€๋ง‰์— ์ด๋ฏธ์ง€ ๋””์ฝ”๋“œ๋ฅผ ์‹คํ–‰ํ•˜๋Š” ๋ฐ ์‚ฌ์šฉ๋˜๋Š” ๋ชจ๋ธ"},{"id":"","label":"Corrections","localized":"๋ณด์ •","hint":"์ƒ์„ฑ ํ”„๋กœ์„ธ์Šค ๋™์•ˆ ์ด๋ฏธ์ง€ ์ƒ‰์ƒ/์„ ๋ช…๋„/๋ฐ๊ธฐ๋ฅผ ๋ณด์ •ํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"Refine","localized":"๋ฆฌํŒŒ์ด๋„ˆ","hint":"์—…์Šค์ผ€์ผ, HiRes ๋ฐ ๋ฆฌํŒŒ์ด๋„ˆ์™€ ๊ด€๋ จ๋œ ์„ค์ •"},{"id":"","label":"โž  text","localized":"โž  ํ…์ŠคํŠธ","hint":"์ด๋ฏธ์ง€๋ฅผ ํ…์ŠคํŠธ ํƒญ์œผ๋กœ ์ „์†ก"},{"id":"","label":"โž  image","localized":"โž  ์ด๋ฏธ์ง€","hint":"์ด๋ฏธ์ง€๋ฅผ ์ด๋ฏธ์ง€ ํƒญ์œผ๋กœ ์ „์†ก"},{"id":"","label":"โž  inpaint","localized":"โž  ์ธํŽ˜์ธํŠธ","hint":"์ด๋ฏธ์ง€๋ฅผ ์ธํŽ˜์ธํŠธ ํƒญ์œผ๋กœ ์ „์†ก"},{"id":"","label":"โž  sketch","localized":"โž  ์Šค์ผ€์น˜","hint":"์ด๋ฏธ์ง€๋ฅผ ์Šค์ผ€์น˜ ํƒญ์œผ๋กœ ์ „์†ก"},{"id":"","label":"โž  composite","localized":"โž  ํ•ฉ์„ฑ","hint":"์ด๋ฏธ์ง€๋ฅผ ํ•ฉ์„ฑ ํƒญ์œผ๋กœ ์ „์†ก"},{"id":"","label":"Sampling method","localized":"์ƒ˜ํ”Œ๋ง ์•Œ๊ณ ๋ฆฌ์ฆ˜","hint":"์ด๋ฏธ์ง€๋ฅผ ์ƒ์„ฑํ•˜๋Š” ๋ฐ ์‚ฌ์šฉํ•  ์•Œ๊ณ ๋ฆฌ์ฆ˜์ž…๋‹ˆ๋‹ค."},{"id":"","label":"Steps","localized":"์ƒ˜ํ”Œ๋ง ์Šคํƒญ ์ˆ˜","hint":"์ดˆ๊ธฐ ์ด๋ฏธ์ง€๋ฅผ ๋ฐ˜๋ณต์ ์œผ๋กœ ๊ฐœ์„ ํ•˜๋Š” ํšŸ์ˆ˜์ž…๋‹ˆ๋‹ค. ์Šคํƒญ ์ˆ˜๋ฅผ ๋†’์ผ ์ˆ˜๋ก ์ƒ์„ฑ ์‹œ๊ฐ„์ด ๋” ์˜ค๋ž˜ ๊ฑธ๋ฆฝ๋‹ˆ๋‹ค. ๋ชจ๋ธ์— ๋”ฐ๋ผ ๋‹ค๋ฅด์ง€๋งŒ, ์Šคํƒญ ์ˆ˜๊ฐ€ ๋„ˆ๋ฌด ๋‚ฎ์œผ๋ฉด ๊ฒฐ๊ณผ๋ฌผ์˜ ํ’ˆ์งˆ์ด ์ข‹์ง€ ์•Š์„ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค."},{"id":"","label":"full quality","localized":"์ตœ๊ณ  ํ’ˆ์งˆ VAE ์‚ฌ์šฉ","hint":"์ตœ๊ณ  ํ’ˆ์งˆ VAE๋ฅผ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค. ์ด ์˜ต์…˜์„ ๋„๋ฉด VAE ์ฒ˜๋ฆฌ ๋‹จ๊ณ„์—์„œ ์ฒ˜๋ฆฌ ์†๋„๊ฐ€ ๋นจ๋ผ์ง€๊ณ  VRAM ์‚ฌ์šฉ๋Ÿ‰์ด ๋‚ฎ์•„์ง€์ง€๋งŒ ๊ฒฐ๊ณผ๋ฌผ์˜ ํ’ˆ์งˆ์ด ๋–จ์–ด์ง‘๋‹ˆ๋‹ค."},{"id":"","label":"HDR Clamp","localized":"HDR ํด๋žจํ”„","hint":"ํ‰๊ท ์—์„œ ํฌ๊ฒŒ ๋ฒ—์–ด๋‚˜๋Š” ๊ฐ’์„ ์ œ๊ฑฐํ•ฉ๋‹ˆ๋‹ค. ํŠนํžˆ, ๊ฐ€์ด๋˜์Šค ์Šค์ผ€์ผ ๊ฐ’์„ ๋†’๊ฒŒ ์„ค์ •ํ–ˆ์„ ๋•Œ ์ƒ์„ฑ์„ ํ–ฅ์ƒ์‹œํ‚ต๋‹ˆ๋‹ค. ์ƒ์„ฑ ์ดˆ๊ธฐ์— ์ž˜๋ชป๋œ ๊ฐ’์„ ์ฐพ๊ณ , ๋ฒ”์œ„(๊ฒฝ๊ณ„) ๋ฐ ์ž„๊ณ„๊ฐ’ ์„ค์ •์„ ๊ธฐ๋ฐ˜์œผ๋กœ ์ˆ˜ํ•™์  ์กฐ์ •์„ ์ ์šฉํ•˜๋Š” ๋ฐ ์œ ์šฉํ•ฉ๋‹ˆ๋‹ค. ์ด๋ฏธ์ง€ ๊ฐ’์— ์›ํ•˜๋Š” ๋ฒ”์œ„๋ฅผ ์„ค์ •ํ•˜๊ณ  ์ž„๊ณ„๊ฐ’์„ ์กฐ์ •ํ•˜์—ฌ ์ž˜๋ชป๋œ ๊ฐ’์„ ํ•ด๋‹น ๋ฒ”์œ„๋กœ ๋‹ค์‹œ ์กฐ์ •ํ•œ๋‹ค๊ณ  ์ƒ๊ฐํ•˜๋ฉด ๋ฉ๋‹ˆ๋‹ค."},{"id":"","label":"Enable refine pass","localized":"๋ฆฌํŒŒ์ด๋„ˆ ํ™œ์„ฑํ™”","hint":"์ด๋ฏธ์ง€-์ด๋ฏธ์ง€์™€ ์œ ์‚ฌํ•œ ํ”„๋กœ์„ธ์Šค๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ์ตœ์ข… ์ด๋ฏธ์ง€๋ฅผ ์—…์Šค์ผ€์ผํ•˜๊ฑฐ๋‚˜ ๋””ํ…Œ์ผ์„ ์ถ”๊ฐ€ํ•ฉ๋‹ˆ๋‹ค. ๊ธฐ๋ณธ ๋ชจ๋ธ๊ณผ๋Š” ๋ณ„๊ฐœ์˜ ๋ฆฌํŒŒ์ด๋„ˆ ๋ชจ๋ธ์„ ์‚ฌ์šฉํ•˜์—ฌ ์ด๋ฏธ์ง€ ๋””ํ…Œ์ผ์„ ํ–ฅ์ƒ์‹œํ‚ฌ ์ˆ˜๋„ ์žˆ์Šต๋‹ˆ๋‹ค."},{"id":"","label":"enable detailer pass","localized":"๋””ํ…Œ์ผ๋Ÿฌ ํ™œ์„ฑํ™”","hint":"์–ผ๊ตด๊ณผ ๊ฐ™์€ ํŠน์ • ๋ถ€์œ„๋ฅผ ๊ฐ์ง€ํ•˜๊ณ  ๋ณ„๋„์˜ ๋ชจ๋ธ์„ ์‚ฌ์šฉํ•˜์—ฌ ํ•ด๋‹น ๋ถ€์œ„๋งŒ์„ ๋” ๋†’์€ ํ•ด์ƒ๋„๋กœ ๋‹ค์‹œ ์ฒ˜๋ฆฌํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"Force Hires","localized":"Hires ๊ฐ•์ œ ํ™œ์„ฑํ™”","hint":"Latent ์—…์Šค์ผ€์ผ๋Ÿฌ๊ฐ€ ์„ ํƒ๋˜๋ฉด Hires๊ฐ€ ์ž๋™์œผ๋กœ ํ™œ์„ฑํ™”๋˜์ง€๋งŒ, ๊ทธ ์™ธ์˜ ์—…์Šค์ผ€์ผ๋Ÿฌ๋ฅผ ์‚ฌ์šฉํ•  ๋•Œ๋Š” ๊ฑด๋„ˆ๋œ๋‹ˆ๋‹ค. ์ด ์˜ต์…˜์„ ํ™œ์„ฑํ™”ํ•˜๋ฉด ์—…์Šค์ผ€์ผ๋Ÿฌ ์ข…๋ฅ˜์™€ ๋ฌด๊ด€ํ•˜๊ฒŒ ํ•ญ์ƒ Hires๋ฅผ ์‹คํ–‰ํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"Refine sampler","localized":"๋ฆฌํŒŒ์ด๋„ˆ ์ƒ˜ํ”Œ๋ง ์•Œ๊ณ ๋ฆฌ์ฆ˜","hint":"๋ฆฌํŒŒ์ด๋„ˆ ์ž‘์—… ์‹œ, ๊ธฐ๋ณธ ์ƒ˜ํ”Œ๋ง ์•Œ๊ณ ๋ฆฌ์ฆ˜์„ ์‚ฌ์šฉํ•  ์ˆ˜ ์—†๋Š” ๊ฒฝ์šฐ ์ด ์ƒ˜ํ”Œ๋ง ์•Œ๊ณ ๋ฆฌ์ฆ˜์„ ๋Œ€์‹  ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"Refiner start","localized":"๋ฆฌํŒŒ์ด๋„ˆ ์‹œ์ž‘","hint":"๊ธฐ๋ณธ ๋ชจ๋ธ์ด ์ด๋งŒํผ ์™„๋ฃŒ๋˜๋ฉด ๋ฆฌํŒŒ์ด๋„ˆ ํŒจ์Šค๊ฐ€ ์‹œ์ž‘๋ฉ๋‹ˆ๋‹ค. (0๋ณด๋‹ค ํฌ๊ณ  1๋ณด๋‹ค ์ž‘๊ฒŒ ์„ค์ •ํ•˜์—ฌ ์ „์ฒด ๊ธฐ๋ณธ ๋ชจ๋ธ ์‹คํ–‰ ํ›„์— ์‹คํ–‰)"},{"id":"","label":"Refiner steps","localized":"๋ฆฌํŒŒ์ด๋„ˆ ์ƒ˜ํ”Œ๋ง ์Šคํƒญ ์ˆ˜","hint":"๋ฆฌํŒŒ์ด๋„ˆ ์ž‘์—…์— ์‚ฌ์šฉํ•  ์ƒ˜ํ”Œ๋ง ์Šคํƒญ ์ˆ˜์ž…๋‹ˆ๋‹ค."},{"id":"","label":"Refine guidance","localized":"๋ฆฌํŒŒ์ด๋„ˆ ๊ฐ€์ด๋˜์Šค ์Šค์ผ€์ผ","hint":"๋ฆฌํŒŒ์ด๋„ˆ ์ž‘์—…์— ์‚ฌ์šฉ๋˜๋Š” ๊ฐ€์ด๋˜์Šค ์Šค์ผ€์ผ์ž…๋‹ˆ๋‹ค."},{"id":"","label":"Attention guidance","localized":"์–ดํ…์…˜ ๊ฐ€์ด๋˜์Šค ์Šค์ผ€์ผ","hint":"PAG(Perturbed-Attention Guidance)์™€ ํ•จ๊ป˜ ์‚ฌ์šฉ๋˜๋Š” ๊ฐ€์ด๋˜์Šค ์Šค์ผ€์ผ์ž…๋‹ˆ๋‹ค."},{"id":"","label":"Adaptive scaling","localized":"์ ์‘ํ˜• ์Šค์ผ€์ผ๋ง","hint":"์–ดํ…์…˜ ๊ฐ€์ด๋˜์Šค ์Šค์ผ€์ผ์— ๋Œ€ํ•œ ์ ์‘ํ˜• ์ˆ˜์ •์ž์ž…๋‹ˆ๋‹ค."},{"id":"","label":"Rescale guidance","localized":"๊ฐ€์ด๋˜์Šค ์žฌ์กฐ์ •","hint":"๋…ธ์ถœ ๊ณผ๋‹ค๋œ ์ด๋ฏธ์ง€๋ฅผ ํ”ผํ•˜๊ธฐ ์œ„ํ•ด CFG ์ƒ์„ฑ ๋…ธ์ด์ฆˆ๋ฅผ ์žฌ์กฐ์ •ํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"Refine Prompt","localized":"๋ฆฌํŒŒ์ด๋„ˆ ํ”„๋กฌํ”„ํŠธ","hint":"๊ธฐ๋ณธ ๋ชจ๋ธ์˜ ๋‘ ๋ฒˆ์งธ ์ธ์ฝ”๋”(์žˆ๋Š” ๊ฒฝ์šฐ)์™€ ๋ฆฌํŒŒ์ด๋„ˆ ํŒจ์Šค(ํ™œ์„ฑํ™”๋œ ๊ฒฝ์šฐ) ๋ชจ๋‘์— ์‚ฌ์šฉ๋˜๋Š” ํ”„๋กฌํ”„ํŠธ์ž…๋‹ˆ๋‹ค."},{"id":"","label":"Refine negative prompt","localized":"๋ฆฌํŒŒ์ด๋„ˆ ๋„ค๊ฑฐํ‹ฐ๋ธŒ ํ”„๋กฌํ”„ํŠธ","hint":"๊ธฐ๋ณธ ๋ชจ๋ธ์˜ ๋‘ ๋ฒˆ์งธ ์ธ์ฝ”๋”(์žˆ๋Š” ๊ฒฝ์šฐ)์™€ ๋ฆฌํŒŒ์ด๋„ˆ ํŒจ์Šค(ํ™œ์„ฑํ™”๋œ ๊ฒฝ์šฐ) ๋ชจ๋‘์— ์‚ฌ์šฉ๋˜๋Š” ๋„ค๊ฑฐํ‹ฐ๋ธŒ ํ”„๋กฌํ”„ํŠธ์ž…๋‹ˆ๋‹ค."},{"id":"","label":"Batch count","localized":"๋ฐฐ์น˜ ์ˆ˜","hint":"์ƒ์„ฑํ•  ์ด๋ฏธ์ง€ ๋ฐฐ์น˜ ์ˆ˜์ž…๋‹ˆ๋‹ค. (์ƒ์„ฑ ์„ฑ๋Šฅ ๋˜๋Š” VRAM ์‚ฌ์šฉ๋Ÿ‰์— ์˜ํ–ฅ์„ ๋ฏธ์น˜์ง€ ์•Š์Œ)"},{"id":"","label":"Batch size","localized":"๋ฐฐ์น˜ ํฌ๊ธฐ","hint":"๋‹จ์ผ ๋ฐฐ์น˜์—์„œ ์ƒ์„ฑํ•  ์ด๋ฏธ์ง€ ์ˆ˜์ž…๋‹ˆ๋‹ค. (VRAM ์‚ฌ์šฉ๋Ÿ‰์ด ๋†’์•„์ง€๋Š” ๋Œ€์‹  ์ƒ์„ฑ ์„ฑ๋Šฅ์ด ํ–ฅ์ƒ๋จ)"},{"id":"","label":"guidance scale","localized":"๊ฐ€์ด๋˜์Šค ์Šค์ผ€์ผ","hint":"Classifier Free Guidance ์Šค์ผ€์ผ:์ด๋ฏธ์ง€๊ฐ€ ํ”„๋กฌํ”„ํŠธ์— ์–ผ๋งˆ๋‚˜ ๊ฐ•ํ•˜๊ฒŒ ๋ถ€ํ•ฉํ•ด์•ผ ํ•˜๋Š”์ง€์ž…๋‹ˆ๋‹ค. ๊ฐ’์ด ๋‚ฎ์„์ˆ˜๋ก ๋” ์ฐฝ์˜์ ์ธ ๊ฒฐ๊ณผ๋ฅผ ์ƒ์„ฑํ•˜๊ณ , ๊ฐ’์ด ๋†’์„์ˆ˜๋ก ํ”„๋กฌํ”„ํŠธ๋ฅผ ๋” ์—„๊ฒฉํ•˜๊ฒŒ ๋”ฐ๋ฆ…๋‹ˆ๋‹ค. 5-10 ์‚ฌ์ด์˜ ๊ฐ’์„ ๊ถŒ์žฅํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"Guidance End","localized":"๊ฐ€์ด๋˜์Šค ์ข…๋ฃŒ ์‹œ์ ","hint":"CFG ๋ฐ PAG ํšจ๊ณผ๊ฐ€ ๋๋‚˜๋Š” ์‹œ์ ์ž…๋‹ˆ๋‹ค. ์ด ๊ฐ’์„ 1๋กœ ์„ค์ •ํ•˜๋ฉด ๋งˆ์ง€๋ง‰๊นŒ์ง€ ๊ฐ€์ด๋˜์Šค ํšจ๊ณผ๋ฅผ ์œ ์ง€ํ•˜๊ณ , 0.5๋กœ ์„ค์ •ํ•˜๋ฉด ์ด๋ฏธ์ง€ ์ƒ์„ฑ ๋‹จ๊ณ„์˜ 50% ์‹œ์ ์—์„œ ๊ฐ€์ด๋˜์Šค ํšจ๊ณผ๋ฅผ ๋๋ƒ…๋‹ˆ๋‹ค."},{"id":"","label":"Variation strength","localized":"๋ณ€ํ˜• ๊ฐ•๋„","hint":"์ƒ์„ฑํ•  ๋ณ€ํ˜•์˜ ๊ฐ•๋„์ž…๋‹ˆ๋‹ค. 0์—์„œ๋Š” ์•„๋ฌด๋Ÿฐ ํšจ๊ณผ๊ฐ€ ์—†์Šต๋‹ˆ๋‹ค. 1์—์„œ๋Š” ๋ณ€ํ˜• ์‹œ๋“œ๊ฐ€ ์žˆ๋Š” ์™„์ „ํ•œ ์‚ฌ์ง„์„ ์–ป์„ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. (a๋กœ ๋๋‚˜๋Š” ancestral ์ƒ˜ํ”Œ๋ง ์•Œ๊ณ ๋ฆฌ์ฆ˜์—๋Š” ์ ์šฉ๋˜์ง€ ์•Š์Œ)"},{"id":"","label":"Extension GIT repository URL","localized":"ํ™•์žฅ Git ๋ ˆํฌ์ง€ํ† ๋ฆฌ URL","hint":"GitHub์˜ ํ™•์žฅ ๋ ˆํฌ์ง€ํ† ๋ฆฌ URL์„ ์ง€์ •ํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"Specific branch name","localized":"ํŠน์ • ๋ธŒ๋žœ์น˜ ์ด๋ฆ„","hint":"ํ™•์žฅ ๋ ˆํฌ์ง€ํ† ๋ฆฌ์˜ ๋ธŒ๋žœ์น˜ ์ด๋ฆ„์„ ์ง€์ •ํ•ฉ๋‹ˆ๋‹ค. ๊ณต๋ฐฑ์ธ ๊ฒฝ์šฐ ๊ธฐ๋ณธ๊ฐ’์„ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"Local directory name","localized":"๋กœ์ปฌ ๋””๋ ‰ํ† ๋ฆฌ ์ด๋ฆ„","hint":"ํ™•์žฅ์„ ์„ค์น˜ํ•  ๋””๋ ‰ํ† ๋ฆฌ์˜ ์ด๋ฆ„์ž…๋‹ˆ๋‹ค. ๊ณต๋ฐฑ์ธ ๊ฒฝ์šฐ ๊ธฐ๋ณธ๊ฐ’์„ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"Refresh extension list","localized":"ํ™•์žฅ ๋ชฉ๋ก ์ƒˆ๋กœ๊ณ ์นจ","hint":"์‚ฌ์šฉ ๊ฐ€๋Šฅํ•œ ํ™•์žฅ์˜ ๋ชฉ๋ก์„ ๋‹ค์‹œ ๋ถˆ๋Ÿฌ์˜ต๋‹ˆ๋‹ค."},{"id":"","label":"Update all installed","localized":"์„ค์น˜๋œ ๋ชจ๋“  ํ™•์žฅ ์—…๋ฐ์ดํŠธ","hint":"์„ค์น˜๋œ ๋ชจ๋“  ํ™•์žฅ์„ ์‚ฌ์šฉ ๊ฐ€๋Šฅํ•œ ์ตœ์‹  ๋ฒ„์ „์œผ๋กœ ์—…๋ฐ์ดํŠธํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"Apply changes","localized":"๋ณ€๊ฒฝ ์‚ฌํ•ญ ์ ์šฉ","hint":"๋ชจ๋“  ๋ณ€๊ฒฝ ์‚ฌํ•ญ์„ ์ ์šฉํ•˜๊ณ  ์„œ๋ฒ„๋ฅผ ๋‹ค์‹œ ์‹œ์ž‘ํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"uninstall","localized":"์ œ๊ฑฐ","hint":"์ด ํ™•์žฅ์„ ์ œ๊ฑฐํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"User interface","localized":"์‚ฌ์šฉ์ž ์ธํ„ฐํŽ˜์ด์Šค","hint":"์‚ฌ์šฉ์ž ์ธํ„ฐํŽ˜์ด์Šค ๊ธฐ๋ณธ ์„ค์ •์„ ๊ฒ€ํ† ํ•˜๊ณ  ์„ค์ •ํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"Set ui defaults","localized":"UI ๊ธฐ๋ณธ๊ฐ’ ์„ค์ •","hint":"ํ˜„์žฌ ๊ฐ’์„ ์‚ฌ์šฉ์ž ์ธํ„ฐํŽ˜์ด์Šค์˜ ๊ธฐ๋ณธ๊ฐ’์œผ๋กœ ์„ค์ •ํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"Models & Networks","localized":"๋ชจ๋ธ ๋ฐ ๋„คํŠธ์›Œํฌ","hint":"์‚ฌ์šฉ ๊ฐ€๋Šฅํ•œ ๋ชจ๋“  ๋ชจ๋ธ ๋ฐ ๋„คํŠธ์›Œํฌ ๋ชฉ๋ก์„ ๋ด…๋‹ˆ๋‹ค."},{"id":"","label":"Restore UI defaults","localized":"UI ๊ธฐ๋ณธ๊ฐ’ ๋ณต์›","hint":"๊ธฐ๋ณธ ์‚ฌ์šฉ์ž ์ธํ„ฐํŽ˜์ด์Šค ๊ฐ’์„ ๋ณต์›ํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"detailer classes","localized":"๋””ํ…Œ์ผ๋Ÿฌ ํด๋ž˜์Šค","hint":"์„ ํƒํ•œ ๋””ํ…Œ์ผ๋Ÿฌ ๋ชจ๋ธ์ด ๋‹ค์ค‘ ํด๋ž˜์Šค ๋ชจ๋ธ์ธ ๊ฒฝ์šฐ ์‚ฌ์šฉํ•  ํŠน์ • ํด๋ž˜์Šค๋ฅผ ์ง€์ •ํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"detailer models","localized":"๋””ํ…Œ์ผ๋Ÿฌ ๋ชจ๋ธ","hint":"์‚ฌ์šฉํ•  ๋””ํ…Œ์ผ๋Ÿฌ ๋ชจ๋ธ์„ ์„ ํƒํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"detailer negative prompt","localized":"๋””ํ…Œ์ผ๋Ÿฌ ๋„ค๊ฑฐํ‹ฐ๋ธŒ ํ”„๋กฌํ”„ํŠธ","hint":"๋””ํ…Œ์ผ๋Ÿฌ์— ๋Œ€ํ•œ ๋ณ„๋„์˜ ๋„ค๊ฑฐํ‹ฐ๋ธŒ ํ”„๋กฌํ”„ํŠธ๋ฅผ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค. ์ด ๋ž€์ด ๊ณต๋ฐฑ์ธ ๊ฒฝ์šฐ ๊ธฐ๋ณธ ๋„ค๊ฑฐํ‹ฐ๋ธŒ ํ”„๋กฌํ”„ํŠธ๋ฅผ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"detailer prompt","localized":"๋””ํ…Œ์ผ๋Ÿฌ ํ”„๋กฌํ”„ํŠธ","hint":"๋””ํ…Œ์ผ๋Ÿฌ์— ๋Œ€ํ•˜์—ฌ ๋ณ„๋„์˜ ํ”„๋กฌํ”„ํŠธ๋ฅผ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค. ์ด ๋ž€์ด ๊ณต๋ฐฑ์ธ ๊ฒฝ์šฐ ๊ธฐ๋ณธ ํ”„๋กฌํ”„ํŠธ๋ฅผ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"detailer steps","localized":"๋””ํ…Œ์ผ๋Ÿฌ ์Šคํƒญ ์ˆ˜","hint":"๋””ํ…Œ์ผ๋Ÿฌ ์ž‘์—…์„ ์‹คํ–‰ํ•  ์Šคํƒญ ์ˆ˜"},{"id":"","label":"detailer use model augment","localized":"๋””ํ…Œ์ผ๋Ÿฌ ๋ชจ๋ธ augment ์‚ฌ์šฉ","hint":"๋””ํ…Œ์ผ๋Ÿฌ ๊ฐ์ง€ ๋ชจ๋ธ์„ ๋” ๋†’์€ ์ •๋ฐ€๋„๋กœ ์‹คํ–‰ํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"edge blur","localized":"๊ฐ€์žฅ์ž๋ฆฌ ํ๋ฆผ","hint":"๋งˆ์Šคํฌ๋œ ์˜์—ญ์˜ ๊ฐ€์žฅ์ž๋ฆฌ๋ฅผ ํ๋ฆฌ๊ฒŒ ํ•ฉ๋‹ˆ๋‹ค. ๋‹จ์œ„๋Š” %์ด๊ณ  ์ตœ๋Œ“๊ฐ’์€ 100%์ž…๋‹ˆ๋‹ค."},{"id":"","label":"edge padding","localized":"๊ฐ€์žฅ์ž๋ฆฌ ํŒจ๋”ฉ","hint":"๋งˆ์Šคํฌ๋œ ์˜์—ญ์˜ ๊ฐ€์žฅ์ž๋ฆฌ๋ฅผ ํ™•์žฅํ•ฉ๋‹ˆ๋‹ค. ๋‹จ์œ„๋Š” %์ด๊ณ  ์ตœ๋Œ“๊ฐ’์€ 100%์ž…๋‹ˆ๋‹ค."},{"id":"","label":"min confidence","localized":"์ตœ์†Œ ์‹ ๋ขฐ๋„","hint":"๋””ํ…Œ์ผ๋Ÿฌ์— ์˜ํ•ด ๊ฐ์ง€๋œ ํ•ญ๋ชฉ์˜ ์ตœ์†Œ ์‹ ๋ขฐ๋„"},{"id":"","label":"ReBasin","localized":"","hint":"๋‘ ๋ชจ๋ธ์—์„œ ๋” ๋งŽ์€ ๊ธฐ๋Šฅ์„ ์œ ์ง€ํ•˜๊ธฐ ์œ„ํ•ด ์ˆœ์—ด๊ณผ ํ•จ๊ป˜ ์—ฌ๋Ÿฌ ๋ฒˆ ๋ณ‘ํ•ฉ์„ ์ˆ˜ํ–‰ํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"Number of ReBasin Iterations","localized":"ReBasin ๋ฐ˜๋ณต ํšŸ์ˆ˜","hint":"์ €์žฅํ•˜๊ธฐ ์ „์— ๋ชจ๋ธ์„ ๋ณ‘ํ•ฉํ•˜๊ณ  ์ˆœ์—ดํ•˜๋Š” ํšŸ์ˆ˜"},{"id":"","label":"cpu","localized":"CPU","hint":"CPU์™€ RAM๋งŒ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค. ๊ฐ€์žฅ ๋Š๋ฆฌ์ง€๋งŒ ๋ฉ”๋ชจ๋ฆฌ ๋ถ€์กฑ ์˜ค๋ฅ˜๊ฐ€ ๋ฐœ์ƒํ•  ๊ฐ€๋Šฅ์„ฑ์ด ๊ฐ€์žฅ ์ ์Šต๋‹ˆ๋‹ค."},{"id":"","label":"shuffle","localized":"์…”ํ”Œ","hint":"์ „์ฒด ๋ชจ๋ธ์€ RAM์— ๋กœ๋“œํ•˜๊ณ  ํ•„์š”ํ•œ ๊ฐ’๋งŒ VRAM์œผ๋กœ ์˜ฎ๊ธด ํ›„ ์—ฐ์‚ฐํ•ฉ๋‹ˆ๋‹ค. CPU์™€ RAM๋งŒ ์‚ฌ์šฉํ–ˆ์„ ๋•Œ์— ๋น„ํ•ด ์กฐ๊ธˆ ๋” ๋น ๋ฆ…๋‹ˆ๋‹ค. SDXL ๋ณ‘ํ•ฉ์— ๊ถŒ์žฅํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"Preset Interpolation Ratio","localized":"์‚ฌ์ „ ์„ค์ • ๋ณด๊ฐ„ ๋น„์œจ","hint":"๋‘ ๊ฐœ์˜ ์‚ฌ์ „ ์„ค์ •์ด ์„ ํƒ๋œ ๊ฒฝ์šฐ ๊ทธ ์‚ฌ์ด๋ฅผ ๋ณด๊ฐ„ํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"active ip adapters","localized":"ํ™œ์„ฑ IP ์–ด๋Œ‘ํ„ฐ ๊ฐœ์ˆ˜","hint":"ํ™œ์„ฑ IP ์–ด๋Œ‘ํ„ฐ ๊ฐœ์ˆ˜"},{"id":"","label":"unload adapter","localized":"์–ด๋Œ‘ํ„ฐ ์–ธ๋กœ๋“œ","hint":"์ƒ์„ฑ์ด ๋๋‚˜๋ฉด ์ฆ‰์‹œ IP ์–ด๋Œ‘ํ„ฐ๋ฅผ ์–ธ๋กœ๋“œํ•ฉ๋‹ˆ๋‹ค. ์ด ์˜ต์…˜์„ ๋น„ํ™œ์„ฑํ™”ํ•˜๋ฉด ๋‹ค์Œ ์ƒ์„ฑ์—์„œ IP ์–ด๋Œ‘ํ„ฐ๋ฅผ ๋” ๋น ๋ฅด๊ฒŒ ์‚ฌ์šฉํ•˜๊ธฐ ์œ„ํ•ด ๋กœ๋“œ๋œ ์ƒํƒœ๋ฅผ ์œ ์ง€ํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"crop to portrait","localized":"์„ธ๋กœ๋กœ ์ž๋ฅด๊ธฐ","hint":"IP ์–ด๋Œ‘ํ„ฐ ์ž…๋ ฅ์œผ๋กœ ์‚ฌ์šฉํ•˜๊ธฐ ์ „์— ์ž…๋ ฅ ์ด๋ฏธ์ง€๋ฅผ ์„ธ๋กœ ์ „์šฉ์œผ๋กœ ์ž๋ฆ…๋‹ˆ๋‹ค."},{"id":"","label":"layer options","localized":"๋ ˆ์ด์–ด ์˜ต์…˜","hint":"IP ์–ด๋Œ‘ํ„ฐ ๊ณ ๊ธ‰ ๋ ˆ์ด์–ด ์˜ต์…˜์„ ์ˆ˜๋™์œผ๋กœ ์ง€์ •ํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"X values","localized":"X ๊ฐ’","hint":"์‰ผํ‘œ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ X์ถ•์— ๋Œ€ํ•œ ๊ฐ’์„ ๋ถ„๋ฆฌํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"Y values","localized":"Y ๊ฐ’","hint":"์‰ผํ‘œ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ Y์ถ•์— ๋Œ€ํ•œ ๊ฐ’์„ ๋ถ„๋ฆฌํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"Z values","localized":"Z ๊ฐ’","hint":"์‰ผํ‘œ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ Z์ถ•์— ๋Œ€ํ•œ ๊ฐ’์„ ๋ถ„๋ฆฌํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"Tile overlap","localized":"ํƒ€์ผ ์ค‘๋ณต","hint":"์—…์Šค์ผ€์ผ์„ ํ•  ๋•Œ ๊ฐ ํƒ€์ผ ์‚ฌ์ด์— ๊ฒน์น˜๊ฒŒ ํ•  ํ”ฝ์…€ ์ˆ˜์ž…๋‹ˆ๋‹ค. ๊ฒน์น˜๋Š” ํ”ฝ์…€์˜ ์ˆ˜๊ฐ€ ๋งŽ์„ ์ˆ˜๋ก ๋ชจ๋“  ํƒ€์ผ์ด ํ•˜๋‚˜์˜ ๊ทธ๋ฆผ์œผ๋กœ ๋‹ค์‹œ ๋ณ‘ํ•ฉ๋œ ์ดํ›„ ํƒ€์ผ ๊ฐ„ ์ด์Œ์ƒˆ๊ฐ€ ๋ˆˆ์— ๋œ ๋•๋‹ˆ๋‹ค."},{"id":"sett_reload_sd_model","label":"Reload model","localized":"๋ชจ๋ธ ๋‹ค์‹œ ๋กœ๋“œ","hint":"ํ˜„์žฌ ์„ ํƒ๋œ ๋ชจ๋ธ์„ ๋‹ค์‹œ ๋กœ๋“œํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"Variable Auto Encoder","localized":"Variable Auto Encoder","hint":"VAE ๋ฐ ์ด๋ฏธ์ง€ ๋””์ฝ”๋“œ ์ž‘์—…๊ณผ ๊ด€๋ จ๋œ ์„ค์ •"},{"id":"","label":"Text encoder","localized":"ํ…์ŠคํŠธ ์ธ์ฝ”๋”","hint":"ํ…์ŠคํŠธ ์ธ์ฝ”๋” ๋ฐ ํ”„๋กฌํ”„ํŠธ ์ธ์ฝ”๋“œ ๊ด€๋ จ ์„ค์ •"},{"id":"","label":"Compute Settings","localized":"์—ฐ์‚ฐ ์„ค์ •","hint":"์—ฐ์‚ฐ ์ •๋ฐ€๋„, cross-attention ๋ฐ ์ตœ์ ํ™” ๊ด€๋ จ ์„ค์ •"},{"id":"","label":"Backend Settings","localized":"๋ฐฑ์—”๋“œ ์„ค์ •","hint":"torch, onnx ๋ฐ olive์™€ ๊ฐ™์€ ์—ฐ์‚ฐ ๋ฐฑ์—”๋“œ ๊ด€๋ จ ์„ค์ •"},{"id":"","label":"Pipeline modifiers","localized":"ํŒŒ์ดํ”„๋ผ์ธ ๊ณ ๊ธ‰ ๊ธฐ๋Šฅ","hint":"์ƒ์„ฑ ์ค‘์— ํ™œ์„ฑํ™”ํ•  ์ˆ˜ ์žˆ๋Š” ์ถ”๊ฐ€ ๊ธฐ๋Šฅ"},{"id":"","label":"Sampler Settings","localized":"์ƒ˜ํ”Œ๋Ÿฌ ์„ค์ •","hint":"์ƒ˜ํ”Œ๋Ÿฌ ์„ ํƒ ๋ฐ ๊ตฌ์„ฑ, Diffusers ์ƒ˜ํ”Œ๋Ÿฌ ๊ตฌ์„ฑ ๊ด€๋ จ ์„ค์ •"},{"id":"","label":"Postprocessing","localized":"ํ›„์ฒ˜๋ฆฌ","hint":"์ด๋ฏธ์ง€ ์ƒ์„ฑ ํ›„ ์ฒ˜๋ฆฌ, ์–ผ๊ตด ๋ณต์› ๋ฐ ์—…์Šค์ผ€์ผ ๊ด€๋ จ ์„ค์ •"},{"id":"","label":"Huggingface","localized":"Huggingface","hint":"Huggingface ๊ด€๋ จ ์„ค์ •"},{"id":"","label":"Show all pages","localized":"๋ชจ๋“  ํŽ˜์ด์ง€ ํ‘œ์‹œ","hint":"๋ชจ๋“  ์„ค์ • ํŽ˜์ด์ง€๋ฅผ ํ‘œ์‹œํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"VAE model","localized":"VAE ๋ชจ๋ธ","hint":"VAE๋Š” ์ตœ์ข… ์ด๋ฏธ์ง€์˜ ๋ฏธ์„ธํ•œ ๋””ํ…Œ์ผ์„ ๋ณด์ •ํ•ฉ๋‹ˆ๋‹ค. ์ƒ‰๊ฐ์„ ๋ณ€๊ฒฝํ•  ์ˆ˜๋„ ์žˆ์Šต๋‹ˆ๋‹ค."},{"id":"","label":"Model load using streams","localized":"์ŠคํŠธ๋ฆผ์„ ์‚ฌ์šฉํ•˜์—ฌ ๋ชจ๋ธ ๋กœ๋“œ","hint":"๋ชจ๋ธ์„ ๋กœ๋“œํ•  ๋•Œ ๋Š๋ฆฐ ์ €์žฅ ์žฅ์น˜์™€ ๋„คํŠธ์›Œํฌ ์Šคํ† ๋ฆฌ์ง€์— ์ตœ์ ํ™”๋œ ์ŠคํŠธ๋ฆฌ๋ฐ ๋กœ๋“œ๋ฅผ ์‹œ๋„ํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"Full","localized":"","hint":"ํ•ญ์ƒ ์ตœ๋Œ€ ์ •๋ฐ€๋„๋ฅผ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"FP32","localized":"FP32","hint":"32๋น„ํŠธ ๋ถ€๋™ ์†Œ์ˆ˜์ ์„ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"FP16","localized":"FP16","hint":"16๋น„ํŠธ ๋ถ€๋™ ์†Œ์ˆ˜์ ์„ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"BF16","localized":"BF16","hint":"์ˆ˜์ •๋œ 16๋น„ํŠธ ๋ถ€๋™ ์†Œ์ˆ˜์ ์„ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"Full precision (--no-half-vae)","localized":"VAE ์ตœ๋Œ€ ์ •๋ฐ€๋„ (--no-half-vae)","hint":"VAE์— FP32๋ฅผ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค. ๋” ๋งŽ์€ VRAM์„ ์‚ฌ์šฉํ•˜๊ณ  ์ƒ์„ฑ ์†๋„๊ฐ€ ๋Š๋ฆฌ์ง€๋งŒ ๋” ๋‚˜์€ ๊ฒฐ๊ณผ๋ฅผ ์–ป์„ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค."},{"id":"","label":"Force full precision (--no-half)","localized":"๋ชจ๋ธ ์ตœ๋Œ€ ์ •๋ฐ€๋„ (--no-half)","hint":"๋ชจ๋ธ์— FP32๋ฅผ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค. ๋” ๋งŽ์€ VRAM์„ ์‚ฌ์šฉํ•˜๊ณ  ์ƒ์„ฑ ์†๋„๊ฐ€ ๋Š๋ฆฌ์ง€๋งŒ ๋” ๋‚˜์€ ๊ฒฐ๊ณผ๋ฅผ ์–ป์„ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค."},{"id":"","label":"Upcast sampling","localized":"์—…์บ์ŠคํŠธ ์ƒ˜ํ”Œ๋ง","hint":"--no-half๋ฅผ ์‚ฌ์šฉํ–ˆ์„ ๋•Œ์™€ ์œ ์‚ฌํ•œ ๊ฒฐ๊ณผ๋ฅผ ์–ป์„ ์ˆ˜ ์žˆ์ง€๋งŒ ์ƒ์„ฑ ์†๋„๊ฐ€ ๋” ๋น ๋ฅด๊ณ  ๋ฉ”๋ชจ๋ฆฌ๋„ ๋œ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"Attempt VAE roll back for NaN values","localized":"NaN ๊ฐ’ ๋ฐœ์ƒ ์‹œ VAE ๋กค๋ฐฑ ์‹œ๋„","hint":"Torch 2.1 ๋ฐ NaN ๊ฒ€์‚ฌ๊ฐ€ ํ™œ์„ฑํ™”๋˜์–ด ์žˆ์–ด์•ผ ํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"Olive use FP16 on optimization","localized":"Olive:์ตœ์ ํ™” ์‹œ FP16 ์‚ฌ์šฉ","hint":"Olive ์ตœ์ ํ™” ํ”„๋กœ์„ธ์Šค์˜ ์ถœ๋ ฅ ๋ชจ๋ธ์— 16๋น„ํŠธ ๋ถ€๋™ ์†Œ์ˆ˜์  ์ •๋ฐ€๋„๋ฅผ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค. ๋น„ํ™œ์„ฑํ™”๋œ ๊ฒฝ์šฐ 32๋น„ํŠธ ๋ถ€๋™ ์†Œ์ˆ˜์  ์ •๋ฐ€๋„๋ฅผ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"Olive force FP32 for VAE Encoder","localized":"Olive:VAE ์ธ์ฝ”๋”์— ๋Œ€ํ•ด FP32 ๊ฐ•์ œ","hint":"์ถœ๋ ฅ ๋ชจ๋ธ์˜ VAE ์ธ์ฝ”๋”์— 32๋น„ํŠธ ๋ถ€๋™ ์†Œ์ˆ˜์  ์ •๋ฐ€๋„๋ฅผ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค. ์ด๋Š” '์ตœ์ ํ™” ์‹œ FP16 ์‚ฌ์šฉ' ์˜ต์…˜์„ ๋ฌด์‹œํ•ฉ๋‹ˆ๋‹ค. Img2Img์—์„œ NaN ๋˜๋Š” ๊ฒ€์€์ƒ‰ ๋นˆ ์ด๋ฏธ์ง€๊ฐ€ ๋ฐœ์ƒํ•˜๋Š” ๊ฒฝ์šฐ ์ด ์˜ต์…˜์„ ํ™œ์„ฑํ™”ํ•˜๊ณ  ์บ์‹œ๋œ ๋ชจ๋ธ์„ ์ œ๊ฑฐํ•˜์„ธ์š”."},{"id":"","label":"Olive use static dimensions","localized":"Olive:์ •์  ์ฐจ์› ์‚ฌ์šฉ","hint":"Olive ์ตœ์ ํ™” ๋ชจ๋ธ์˜ ์ด๋ฏธ์ง€ ์ƒ์„ฑ ์†๋„๋ฅผ ๋งค์šฐ ๋น ๋ฅด๊ฒŒ ๋งŒ๋“ญ๋‹ˆ๋‹ค. (OrtTransformersOptimization)"},{"id":"","label":"Olive cache optimized models","localized":"Olive:์ตœ์ ํ™” ๋ชจ๋ธ ์บ์‹œ","hint":"Olive ์ฒ˜๋ฆฌ๋œ ๋ชจ๋ธ์„ ์ €์žฅํ•ฉ๋‹ˆ๋‹ค. ONNX ํƒญ์—์„œ ๊ด€๋ฆฌํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค."},{"id":"","label":"Inpainting conditioning mask strength","localized":"์ธํŽ˜์ธํŠธ conditioning mask ๊ฐ•๋„","hint":"์ธํŽ˜์ธํŠธ ๋ฐ img2img์— ๋Œ€ํ•ด ์›๋ณธ ์ด๋ฏธ์ง€๋ฅผ ์–ผ๋งˆ๋‚˜ ๊ฐ•ํ•˜๊ฒŒ ๋งˆ์Šคํ‚นํ• ์ง€ ๊ฒฐ์ •ํ•ฉ๋‹ˆ๋‹ค. 1.0์€ ์™„์ „ํžˆ ๋งˆ์Šคํ‚น(๊ธฐ๋ณธ๊ฐ’)์„ ์˜๋ฏธํ•ฉ๋‹ˆ๋‹ค. 0.0์€ ์™„์ „ํžˆ ๋งˆ์Šคํ‚น๋˜์ง€ ์•Š์€ ์ปจ๋””์…”๋‹์„ ์˜๋ฏธํ•ฉ๋‹ˆ๋‹ค. ๊ฐ’์ด ๋‚ฎ์„์ˆ˜๋ก ์ด๋ฏธ์ง€์˜ ์ „์ฒด ๊ตฌ์„ฑ์„ ๋ณด์กดํ•˜๋Š” ๋ฐ ๋„์›€์ด ๋˜์ง€๋งŒ ํฐ ๋ณ€๊ฒฝ์—๋Š” ์–ด๋ ค์›€์„ ๊ฒช์Šต๋‹ˆ๋‹ค."},{"id":"","label":"Clip skip","localized":"Clip skip","hint":"CLIP ๋ชจ๋ธ์˜ ์ค‘๋‹จ ์‹œ์ . ์ด ๊ฐ’์„ 1๋กœ ์„ค์ •ํ•˜๋ฉด ํ‰์†Œ์™€ ๊ฐ™์ด ๋งˆ์ง€๋ง‰ ๋ ˆ์ด์–ด์—์„œ ์ค‘๋‹จํ•˜๊ณ , 2๋กœ ์„ค์ •ํ•˜๋ฉด ๋์—์„œ ๋‘ ๋ฒˆ์งธ ๋ ˆ์ด์–ด์—์„œ ์ค‘๋‹จํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"Approximate","localized":"","hint":"๋น ๋ฅด๊ณ  ๊ฐ€๋ฒผ์šด ๊ทผ์‚ฌ ๋ฐฉ์‹์ž…๋‹ˆ๋‹ค. VAE์— ๋น„ํ•ด ๋งค์šฐ ๋น ๋ฅด์ง€๋งŒ ๊ฐ€๋กœ/์„ธ๋กœ ํ•ด์ƒ๋„๊ฐ€ 4๋ฐฐ ์ž‘๊ณ  ํ’ˆ์งˆ์ด ๋‚ฎ์€ ์‚ฌ์ง„์„ ์ƒ์„ฑํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"Simple","localized":"","hint":"๋งค์šฐ ๋น ๋ฅด๊ณ  ๊ฐ€๋ฒผ์šด ๊ทผ์‚ฌ ๋ฐฉ์‹์ž…๋‹ˆ๋‹ค. VAE์— ๋น„ํ•ด ๋งค์šฐ ๋น ๋ฅด์ง€๋งŒ ๊ฐ€๋กœ/์„ธ๋กœ ํ•ด์ƒ๋„๊ฐ€ 8๋ฐฐ ์ž‘๊ณ  ํ’ˆ์งˆ์ด ๋งค์šฐ ๋‚ฎ์€ ์‚ฌ์ง„์„ ์ƒ์„ฑํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"Progress update period","localized":"์ง„ํ–‰๋ฅ  ์—…๋ฐ์ดํŠธ ์ฃผ๊ธฐ","hint":"UI ํ”„๋กœ๊ทธ๋ ˆ์Šค ๋ฐ” ๋ฐ ๋ฏธ๋ฆฌ๋ณด๊ธฐ๋ฅผ ์œ„ํ•œ ์—…๋ฐ์ดํŠธ ์ฃผ๊ธฐ์ž…๋‹ˆ๋‹ค. 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๋งค๊ฐœ๋ณ€์ˆ˜ ๋ณต์›"},{"id":"","label":"Default strength","localized":"๊ธฐ๋ณธ ๊ฐ•๋„","hint":"LoRA์™€ ๊ฐ™์€ ์ถ”๊ฐ€ ๋„คํŠธ์›Œํฌ๋ฅผ ํ”„๋กฌํ”„ํŠธ์— ์ถ”๊ฐ€ํ•  ๋•Œ ์‚ฌ์šฉ๋  ๊ธฐ๋ณธ ๊ฐ•๋„"},{"id":"","label":"Embedding","localized":"์ž„๋ฒ ๋”ฉ","hint":"Textual inversion embedding. ํŠน์ • ์ฃผ์ œ์— ๋Œ€ํ•ด ํ›ˆ๋ จ๋œ ๋ณด์กฐ ๋ชจ๋ธ"},{"id":"","label":"Hypernetwork","localized":"ํ•˜์ดํผ ๋„คํŠธ์›Œํฌ","hint":"๋กœ๋“œ๋œ ๋ชจ๋ธ์˜ ๋™์ž‘์„ ์ˆ˜์ •ํ•˜๋Š” ๋ณด์กฐ ๋ชจ๋ธ"},{"id":"","label":"VAE","localized":"VAE","hint":"Variational Auto Encoder. ์ƒ์„ฑ ๋งˆ์ง€๋ง‰์— ์ด๋ฏธ์ง€ ๋””์ฝ”๋“œ๋ฅผ ์‹คํ–‰ํ•˜๋Š” ๋ฐ ์‚ฌ์šฉ๋˜๋Š” ๋ชจ๋ธ"},{"id":"","label":"Corrections","localized":"๋ณด์ •","hint":"์ƒ์„ฑ ํ”„๋กœ์„ธ์Šค ๋™์•ˆ ์ด๋ฏธ์ง€ ์ƒ‰์ƒ/์„ ๋ช…๋„/๋ฐ๊ธฐ๋ฅผ ๋ณด์ •ํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"Refine","localized":"๋ฆฌํŒŒ์ด๋„ˆ","hint":"์—…์Šค์ผ€์ผ, HiRes ๋ฐ ๋ฆฌํŒŒ์ด๋„ˆ์™€ ๊ด€๋ จ๋œ ์„ค์ •"},{"id":"","label":"โž  text","localized":"โž  ํ…์ŠคํŠธ","hint":"์ด๋ฏธ์ง€๋ฅผ ํ…์ŠคํŠธ ํƒญ์œผ๋กœ ์ „์†ก"},{"id":"","label":"โž  image","localized":"โž  ์ด๋ฏธ์ง€","hint":"์ด๋ฏธ์ง€๋ฅผ ์ด๋ฏธ์ง€ ํƒญ์œผ๋กœ ์ „์†ก"},{"id":"","label":"โž  inpaint","localized":"โž  ์ธํŽ˜์ธํŠธ","hint":"์ด๋ฏธ์ง€๋ฅผ ์ธํŽ˜์ธํŠธ ํƒญ์œผ๋กœ ์ „์†ก"},{"id":"","label":"โž  sketch","localized":"โž  ์Šค์ผ€์น˜","hint":"์ด๋ฏธ์ง€๋ฅผ ์Šค์ผ€์น˜ ํƒญ์œผ๋กœ ์ „์†ก"},{"id":"","label":"โž  composite","localized":"โž  ํ•ฉ์„ฑ","hint":"์ด๋ฏธ์ง€๋ฅผ ํ•ฉ์„ฑ ํƒญ์œผ๋กœ ์ „์†ก"},{"id":"","label":"Sampling method","localized":"์ƒ˜ํ”Œ๋ง ์•Œ๊ณ ๋ฆฌ์ฆ˜","hint":"์ด๋ฏธ์ง€๋ฅผ ์ƒ์„ฑํ•˜๋Š” ๋ฐ ์‚ฌ์šฉํ•  ์•Œ๊ณ ๋ฆฌ์ฆ˜์ž…๋‹ˆ๋‹ค."},{"id":"","label":"Steps","localized":"์ƒ˜ํ”Œ๋ง ์Šคํƒญ ์ˆ˜","hint":"์ดˆ๊ธฐ ์ด๋ฏธ์ง€๋ฅผ ๋ฐ˜๋ณต์ ์œผ๋กœ ๊ฐœ์„ ํ•˜๋Š” ํšŸ์ˆ˜์ž…๋‹ˆ๋‹ค. ์Šคํƒญ ์ˆ˜๋ฅผ ๋†’์ผ ์ˆ˜๋ก ์ƒ์„ฑ ์‹œ๊ฐ„์ด ๋” ์˜ค๋ž˜ ๊ฑธ๋ฆฝ๋‹ˆ๋‹ค. ๋ชจ๋ธ์— ๋”ฐ๋ผ ๋‹ค๋ฅด์ง€๋งŒ, ์Šคํƒญ ์ˆ˜๊ฐ€ ๋„ˆ๋ฌด ๋‚ฎ์œผ๋ฉด ๊ฒฐ๊ณผ๋ฌผ์˜ ํ’ˆ์งˆ์ด ์ข‹์ง€ ์•Š์„ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค."},{"id":"","label":"full quality","localized":"์ตœ๊ณ  ํ’ˆ์งˆ VAE ์‚ฌ์šฉ","hint":"์ตœ๊ณ  ํ’ˆ์งˆ VAE๋ฅผ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค. ์ด ์˜ต์…˜์„ ๋„๋ฉด VAE ์ฒ˜๋ฆฌ ๋‹จ๊ณ„์—์„œ ์ฒ˜๋ฆฌ ์†๋„๊ฐ€ ๋นจ๋ผ์ง€๊ณ  VRAM ์‚ฌ์šฉ๋Ÿ‰์ด ๋‚ฎ์•„์ง€์ง€๋งŒ ๊ฒฐ๊ณผ๋ฌผ์˜ ํ’ˆ์งˆ์ด ๋–จ์–ด์ง‘๋‹ˆ๋‹ค."},{"id":"","label":"HDR Clamp","localized":"HDR ํด๋žจํ”„","hint":"ํ‰๊ท ์—์„œ ํฌ๊ฒŒ ๋ฒ—์–ด๋‚˜๋Š” ๊ฐ’์„ ์ œ๊ฑฐํ•ฉ๋‹ˆ๋‹ค. ํŠนํžˆ, ๊ฐ€์ด๋˜์Šค ์Šค์ผ€์ผ ๊ฐ’์„ ๋†’๊ฒŒ ์„ค์ •ํ–ˆ์„ ๋•Œ ์ƒ์„ฑ์„ ํ–ฅ์ƒ์‹œํ‚ต๋‹ˆ๋‹ค. ์ƒ์„ฑ ์ดˆ๊ธฐ์— ์ž˜๋ชป๋œ ๊ฐ’์„ ์ฐพ๊ณ , ๋ฒ”์œ„(๊ฒฝ๊ณ„) ๋ฐ ์ž„๊ณ„๊ฐ’ ์„ค์ •์„ ๊ธฐ๋ฐ˜์œผ๋กœ ์ˆ˜ํ•™์  ์กฐ์ •์„ ์ ์šฉํ•˜๋Š” ๋ฐ ์œ ์šฉํ•ฉ๋‹ˆ๋‹ค. ์ด๋ฏธ์ง€ ๊ฐ’์— ์›ํ•˜๋Š” ๋ฒ”์œ„๋ฅผ ์„ค์ •ํ•˜๊ณ  ์ž„๊ณ„๊ฐ’์„ ์กฐ์ •ํ•˜์—ฌ ์ž˜๋ชป๋œ ๊ฐ’์„ ํ•ด๋‹น ๋ฒ”์œ„๋กœ ๋‹ค์‹œ ์กฐ์ •ํ•œ๋‹ค๊ณ  ์ƒ๊ฐํ•˜๋ฉด ๋ฉ๋‹ˆ๋‹ค."},{"id":"","label":"Enable refine pass","localized":"๋ฆฌํŒŒ์ด๋„ˆ ํ™œ์„ฑํ™”","hint":"์ด๋ฏธ์ง€-์ด๋ฏธ์ง€์™€ ์œ ์‚ฌํ•œ ํ”„๋กœ์„ธ์Šค๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ์ตœ์ข… ์ด๋ฏธ์ง€๋ฅผ ์—…์Šค์ผ€์ผํ•˜๊ฑฐ๋‚˜ ๋””ํ…Œ์ผ์„ ์ถ”๊ฐ€ํ•ฉ๋‹ˆ๋‹ค. ๊ธฐ๋ณธ ๋ชจ๋ธ๊ณผ๋Š” ๋ณ„๊ฐœ์˜ ๋ฆฌํŒŒ์ด๋„ˆ ๋ชจ๋ธ์„ ์‚ฌ์šฉํ•˜์—ฌ ์ด๋ฏธ์ง€ ๋””ํ…Œ์ผ์„ ํ–ฅ์ƒ์‹œํ‚ฌ ์ˆ˜๋„ ์žˆ์Šต๋‹ˆ๋‹ค."},{"id":"","label":"enable detailer pass","localized":"๋””ํ…Œ์ผ๋Ÿฌ ํ™œ์„ฑํ™”","hint":"์–ผ๊ตด๊ณผ ๊ฐ™์€ ํŠน์ • ๋ถ€์œ„๋ฅผ ๊ฐ์ง€ํ•˜๊ณ  ๋ณ„๋„์˜ ๋ชจ๋ธ์„ ์‚ฌ์šฉํ•˜์—ฌ ํ•ด๋‹น ๋ถ€์œ„๋งŒ์„ ๋” ๋†’์€ ํ•ด์ƒ๋„๋กœ ๋‹ค์‹œ ์ฒ˜๋ฆฌํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"Force Hires","localized":"Hires ๊ฐ•์ œ ํ™œ์„ฑํ™”","hint":"Latent ์—…์Šค์ผ€์ผ๋Ÿฌ๊ฐ€ ์„ ํƒ๋˜๋ฉด Hires๊ฐ€ ์ž๋™์œผ๋กœ ํ™œ์„ฑํ™”๋˜์ง€๋งŒ, ๊ทธ ์™ธ์˜ ์—…์Šค์ผ€์ผ๋Ÿฌ๋ฅผ ์‚ฌ์šฉํ•  ๋•Œ๋Š” ๊ฑด๋„ˆ๋œ๋‹ˆ๋‹ค. ์ด ์˜ต์…˜์„ ํ™œ์„ฑํ™”ํ•˜๋ฉด ์—…์Šค์ผ€์ผ๋Ÿฌ ์ข…๋ฅ˜์™€ ๋ฌด๊ด€ํ•˜๊ฒŒ ํ•ญ์ƒ Hires๋ฅผ ์‹คํ–‰ํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"Refine sampler","localized":"๋ฆฌํŒŒ์ด๋„ˆ ์ƒ˜ํ”Œ๋ง ์•Œ๊ณ ๋ฆฌ์ฆ˜","hint":"๋ฆฌํŒŒ์ด๋„ˆ ์ž‘์—… ์‹œ, ๊ธฐ๋ณธ ์ƒ˜ํ”Œ๋ง ์•Œ๊ณ ๋ฆฌ์ฆ˜์„ ์‚ฌ์šฉํ•  ์ˆ˜ ์—†๋Š” ๊ฒฝ์šฐ ์ด ์ƒ˜ํ”Œ๋ง ์•Œ๊ณ ๋ฆฌ์ฆ˜์„ ๋Œ€์‹  ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"Refiner start","localized":"๋ฆฌํŒŒ์ด๋„ˆ ์‹œ์ž‘","hint":"๊ธฐ๋ณธ ๋ชจ๋ธ์ด ์ด๋งŒํผ ์™„๋ฃŒ๋˜๋ฉด ๋ฆฌํŒŒ์ด๋„ˆ ํŒจ์Šค๊ฐ€ ์‹œ์ž‘๋ฉ๋‹ˆ๋‹ค. (0๋ณด๋‹ค ํฌ๊ณ  1๋ณด๋‹ค ์ž‘๊ฒŒ ์„ค์ •ํ•˜์—ฌ ์ „์ฒด ๊ธฐ๋ณธ ๋ชจ๋ธ ์‹คํ–‰ ํ›„์— ์‹คํ–‰)"},{"id":"","label":"Refiner steps","localized":"๋ฆฌํŒŒ์ด๋„ˆ ์ƒ˜ํ”Œ๋ง ์Šคํƒญ ์ˆ˜","hint":"๋ฆฌํŒŒ์ด๋„ˆ ์ž‘์—…์— ์‚ฌ์šฉํ•  ์ƒ˜ํ”Œ๋ง ์Šคํƒญ ์ˆ˜์ž…๋‹ˆ๋‹ค."},{"id":"","label":"Refine guidance","localized":"๋ฆฌํŒŒ์ด๋„ˆ ๊ฐ€์ด๋˜์Šค ์Šค์ผ€์ผ","hint":"๋ฆฌํŒŒ์ด๋„ˆ ์ž‘์—…์— ์‚ฌ์šฉ๋˜๋Š” ๊ฐ€์ด๋˜์Šค ์Šค์ผ€์ผ์ž…๋‹ˆ๋‹ค."},{"id":"","label":"Attention guidance","localized":"์–ดํ…์…˜ ๊ฐ€์ด๋˜์Šค ์Šค์ผ€์ผ","hint":"PAG(Perturbed-Attention Guidance)์™€ ํ•จ๊ป˜ ์‚ฌ์šฉ๋˜๋Š” ๊ฐ€์ด๋˜์Šค ์Šค์ผ€์ผ์ž…๋‹ˆ๋‹ค."},{"id":"","label":"Adaptive scaling","localized":"์ ์‘ํ˜• ์Šค์ผ€์ผ๋ง","hint":"์–ดํ…์…˜ ๊ฐ€์ด๋˜์Šค ์Šค์ผ€์ผ์— ๋Œ€ํ•œ ์ ์‘ํ˜• ์ˆ˜์ •์ž์ž…๋‹ˆ๋‹ค."},{"id":"","label":"Rescale guidance","localized":"๊ฐ€์ด๋˜์Šค ์žฌ์กฐ์ •","hint":"๋…ธ์ถœ ๊ณผ๋‹ค๋œ ์ด๋ฏธ์ง€๋ฅผ ํ”ผํ•˜๊ธฐ ์œ„ํ•ด CFG ์ƒ์„ฑ ๋…ธ์ด์ฆˆ๋ฅผ ์žฌ์กฐ์ •ํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"Refine Prompt","localized":"๋ฆฌํŒŒ์ด๋„ˆ ํ”„๋กฌํ”„ํŠธ","hint":"๊ธฐ๋ณธ ๋ชจ๋ธ์˜ ๋‘ ๋ฒˆ์งธ ์ธ์ฝ”๋”(์žˆ๋Š” ๊ฒฝ์šฐ)์™€ ๋ฆฌํŒŒ์ด๋„ˆ ํŒจ์Šค(ํ™œ์„ฑํ™”๋œ ๊ฒฝ์šฐ) ๋ชจ๋‘์— ์‚ฌ์šฉ๋˜๋Š” ํ”„๋กฌํ”„ํŠธ์ž…๋‹ˆ๋‹ค."},{"id":"","label":"Refine negative prompt","localized":"๋ฆฌํŒŒ์ด๋„ˆ ๋„ค๊ฑฐํ‹ฐ๋ธŒ ํ”„๋กฌํ”„ํŠธ","hint":"๊ธฐ๋ณธ ๋ชจ๋ธ์˜ ๋‘ ๋ฒˆ์งธ ์ธ์ฝ”๋”(์žˆ๋Š” ๊ฒฝ์šฐ)์™€ ๋ฆฌํŒŒ์ด๋„ˆ ํŒจ์Šค(ํ™œ์„ฑํ™”๋œ ๊ฒฝ์šฐ) ๋ชจ๋‘์— ์‚ฌ์šฉ๋˜๋Š” ๋„ค๊ฑฐํ‹ฐ๋ธŒ ํ”„๋กฌํ”„ํŠธ์ž…๋‹ˆ๋‹ค."},{"id":"","label":"Batch count","localized":"๋ฐฐ์น˜ ์ˆ˜","hint":"์ƒ์„ฑํ•  ์ด๋ฏธ์ง€ ๋ฐฐ์น˜ ์ˆ˜์ž…๋‹ˆ๋‹ค. (์ƒ์„ฑ ์„ฑ๋Šฅ ๋˜๋Š” VRAM ์‚ฌ์šฉ๋Ÿ‰์— ์˜ํ–ฅ์„ ๋ฏธ์น˜์ง€ ์•Š์Œ)"},{"id":"","label":"Batch size","localized":"๋ฐฐ์น˜ ํฌ๊ธฐ","hint":"๋‹จ์ผ ๋ฐฐ์น˜์—์„œ ์ƒ์„ฑํ•  ์ด๋ฏธ์ง€ ์ˆ˜์ž…๋‹ˆ๋‹ค. (VRAM ์‚ฌ์šฉ๋Ÿ‰์ด ๋†’์•„์ง€๋Š” ๋Œ€์‹  ์ƒ์„ฑ ์„ฑ๋Šฅ์ด ํ–ฅ์ƒ๋จ)"},{"id":"","label":"guidance scale","localized":"๊ฐ€์ด๋˜์Šค ์Šค์ผ€์ผ","hint":"Classifier Free Guidance ์Šค์ผ€์ผ:์ด๋ฏธ์ง€๊ฐ€ ํ”„๋กฌํ”„ํŠธ์— ์–ผ๋งˆ๋‚˜ ๊ฐ•ํ•˜๊ฒŒ ๋ถ€ํ•ฉํ•ด์•ผ ํ•˜๋Š”์ง€์ž…๋‹ˆ๋‹ค. ๊ฐ’์ด ๋‚ฎ์„์ˆ˜๋ก ๋” ์ฐฝ์˜์ ์ธ ๊ฒฐ๊ณผ๋ฅผ ์ƒ์„ฑํ•˜๊ณ , ๊ฐ’์ด ๋†’์„์ˆ˜๋ก ํ”„๋กฌํ”„ํŠธ๋ฅผ ๋” ์—„๊ฒฉํ•˜๊ฒŒ ๋”ฐ๋ฆ…๋‹ˆ๋‹ค. 5-10 ์‚ฌ์ด์˜ ๊ฐ’์„ ๊ถŒ์žฅํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"Guidance End","localized":"๊ฐ€์ด๋˜์Šค ์ข…๋ฃŒ ์‹œ์ ","hint":"CFG ๋ฐ PAG ํšจ๊ณผ๊ฐ€ ๋๋‚˜๋Š” ์‹œ์ ์ž…๋‹ˆ๋‹ค. ์ด ๊ฐ’์„ 1๋กœ ์„ค์ •ํ•˜๋ฉด ๋งˆ์ง€๋ง‰๊นŒ์ง€ ๊ฐ€์ด๋˜์Šค ํšจ๊ณผ๋ฅผ ์œ ์ง€ํ•˜๊ณ , 0.5๋กœ ์„ค์ •ํ•˜๋ฉด ์ด๋ฏธ์ง€ ์ƒ์„ฑ ๋‹จ๊ณ„์˜ 50% ์‹œ์ ์—์„œ ๊ฐ€์ด๋˜์Šค ํšจ๊ณผ๋ฅผ ๋๋ƒ…๋‹ˆ๋‹ค."},{"id":"","label":"Variation strength","localized":"๋ณ€ํ˜• ๊ฐ•๋„","hint":"์ƒ์„ฑํ•  ๋ณ€ํ˜•์˜ ๊ฐ•๋„์ž…๋‹ˆ๋‹ค. 0์—์„œ๋Š” ์•„๋ฌด๋Ÿฐ ํšจ๊ณผ๊ฐ€ ์—†์Šต๋‹ˆ๋‹ค. 1์—์„œ๋Š” ๋ณ€ํ˜• ์‹œ๋“œ๊ฐ€ ์žˆ๋Š” ์™„์ „ํ•œ ์‚ฌ์ง„์„ ์–ป์„ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. (a๋กœ ๋๋‚˜๋Š” ancestral ์ƒ˜ํ”Œ๋ง ์•Œ๊ณ ๋ฆฌ์ฆ˜์—๋Š” ์ ์šฉ๋˜์ง€ ์•Š์Œ)"},{"id":"","label":"Extension GIT repository URL","localized":"ํ™•์žฅ Git ๋ ˆํฌ์ง€ํ† ๋ฆฌ URL","hint":"GitHub์˜ ํ™•์žฅ ๋ ˆํฌ์ง€ํ† ๋ฆฌ URL์„ ์ง€์ •ํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"Specific branch name","localized":"ํŠน์ • ๋ธŒ๋žœ์น˜ ์ด๋ฆ„","hint":"ํ™•์žฅ ๋ ˆํฌ์ง€ํ† ๋ฆฌ์˜ ๋ธŒ๋žœ์น˜ ์ด๋ฆ„์„ ์ง€์ •ํ•ฉ๋‹ˆ๋‹ค. ๊ณต๋ฐฑ์ธ ๊ฒฝ์šฐ ๊ธฐ๋ณธ๊ฐ’์„ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"Local directory name","localized":"๋กœ์ปฌ ๋””๋ ‰ํ† ๋ฆฌ ์ด๋ฆ„","hint":"ํ™•์žฅ์„ ์„ค์น˜ํ•  ๋””๋ ‰ํ† ๋ฆฌ์˜ ์ด๋ฆ„์ž…๋‹ˆ๋‹ค. ๊ณต๋ฐฑ์ธ ๊ฒฝ์šฐ ๊ธฐ๋ณธ๊ฐ’์„ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"Refresh extension list","localized":"ํ™•์žฅ ๋ชฉ๋ก ์ƒˆ๋กœ๊ณ ์นจ","hint":"์‚ฌ์šฉ ๊ฐ€๋Šฅํ•œ ํ™•์žฅ์˜ ๋ชฉ๋ก์„ ๋‹ค์‹œ ๋ถˆ๋Ÿฌ์˜ต๋‹ˆ๋‹ค."},{"id":"","label":"Update all installed","localized":"์„ค์น˜๋œ ๋ชจ๋“  ํ™•์žฅ ์—…๋ฐ์ดํŠธ","hint":"์„ค์น˜๋œ ๋ชจ๋“  ํ™•์žฅ์„ ์‚ฌ์šฉ ๊ฐ€๋Šฅํ•œ ์ตœ์‹  ๋ฒ„์ „์œผ๋กœ ์—…๋ฐ์ดํŠธํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"Apply changes","localized":"๋ณ€๊ฒฝ ์‚ฌํ•ญ ์ ์šฉ","hint":"๋ชจ๋“  ๋ณ€๊ฒฝ ์‚ฌํ•ญ์„ ์ ์šฉํ•˜๊ณ  ์„œ๋ฒ„๋ฅผ ๋‹ค์‹œ ์‹œ์ž‘ํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"uninstall","localized":"์ œ๊ฑฐ","hint":"์ด ํ™•์žฅ์„ ์ œ๊ฑฐํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"User interface","localized":"์‚ฌ์šฉ์ž ์ธํ„ฐํŽ˜์ด์Šค","hint":"์‚ฌ์šฉ์ž ์ธํ„ฐํŽ˜์ด์Šค ๊ธฐ๋ณธ ์„ค์ •์„ ๊ฒ€ํ† ํ•˜๊ณ  ์„ค์ •ํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"Set ui defaults","localized":"UI ๊ธฐ๋ณธ๊ฐ’ ์„ค์ •","hint":"ํ˜„์žฌ ๊ฐ’์„ ์‚ฌ์šฉ์ž ์ธํ„ฐํŽ˜์ด์Šค์˜ ๊ธฐ๋ณธ๊ฐ’์œผ๋กœ ์„ค์ •ํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"Models & Networks","localized":"๋ชจ๋ธ ๋ฐ ๋„คํŠธ์›Œํฌ","hint":"์‚ฌ์šฉ ๊ฐ€๋Šฅํ•œ ๋ชจ๋“  ๋ชจ๋ธ ๋ฐ ๋„คํŠธ์›Œํฌ ๋ชฉ๋ก์„ ๋ด…๋‹ˆ๋‹ค."},{"id":"","label":"Restore UI defaults","localized":"UI ๊ธฐ๋ณธ๊ฐ’ ๋ณต์›","hint":"๊ธฐ๋ณธ ์‚ฌ์šฉ์ž ์ธํ„ฐํŽ˜์ด์Šค ๊ฐ’์„ ๋ณต์›ํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"detailer classes","localized":"๋””ํ…Œ์ผ๋Ÿฌ ํด๋ž˜์Šค","hint":"์„ ํƒํ•œ ๋””ํ…Œ์ผ๋Ÿฌ ๋ชจ๋ธ์ด ๋‹ค์ค‘ ํด๋ž˜์Šค ๋ชจ๋ธ์ธ ๊ฒฝ์šฐ ์‚ฌ์šฉํ•  ํŠน์ • ํด๋ž˜์Šค๋ฅผ ์ง€์ •ํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"detailer models","localized":"๋””ํ…Œ์ผ๋Ÿฌ ๋ชจ๋ธ","hint":"์‚ฌ์šฉํ•  ๋””ํ…Œ์ผ๋Ÿฌ ๋ชจ๋ธ์„ ์„ ํƒํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"detailer negative prompt","localized":"๋””ํ…Œ์ผ๋Ÿฌ ๋„ค๊ฑฐํ‹ฐ๋ธŒ ํ”„๋กฌํ”„ํŠธ","hint":"๋””ํ…Œ์ผ๋Ÿฌ์— ๋Œ€ํ•œ ๋ณ„๋„์˜ ๋„ค๊ฑฐํ‹ฐ๋ธŒ ํ”„๋กฌํ”„ํŠธ๋ฅผ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค. ์ด ๋ž€์ด ๊ณต๋ฐฑ์ธ ๊ฒฝ์šฐ ๊ธฐ๋ณธ ๋„ค๊ฑฐํ‹ฐ๋ธŒ ํ”„๋กฌํ”„ํŠธ๋ฅผ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"detailer prompt","localized":"๋””ํ…Œ์ผ๋Ÿฌ ํ”„๋กฌํ”„ํŠธ","hint":"๋””ํ…Œ์ผ๋Ÿฌ์— ๋Œ€ํ•˜์—ฌ ๋ณ„๋„์˜ ํ”„๋กฌํ”„ํŠธ๋ฅผ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค. ์ด ๋ž€์ด ๊ณต๋ฐฑ์ธ ๊ฒฝ์šฐ ๊ธฐ๋ณธ ํ”„๋กฌํ”„ํŠธ๋ฅผ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"detailer steps","localized":"๋””ํ…Œ์ผ๋Ÿฌ ์Šคํƒญ ์ˆ˜","hint":"๋””ํ…Œ์ผ๋Ÿฌ ์ž‘์—…์„ ์‹คํ–‰ํ•  ์Šคํƒญ ์ˆ˜"},{"id":"","label":"detailer use model augment","localized":"๋””ํ…Œ์ผ๋Ÿฌ ๋ชจ๋ธ augment ์‚ฌ์šฉ","hint":"๋””ํ…Œ์ผ๋Ÿฌ ๊ฐ์ง€ ๋ชจ๋ธ์„ ๋” ๋†’์€ ์ •๋ฐ€๋„๋กœ ์‹คํ–‰ํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"edge blur","localized":"๊ฐ€์žฅ์ž๋ฆฌ ํ๋ฆผ","hint":"๋งˆ์Šคํฌ๋œ ์˜์—ญ์˜ ๊ฐ€์žฅ์ž๋ฆฌ๋ฅผ ํ๋ฆฌ๊ฒŒ ํ•ฉ๋‹ˆ๋‹ค. ๋‹จ์œ„๋Š” %์ด๊ณ  ์ตœ๋Œ“๊ฐ’์€ 100%์ž…๋‹ˆ๋‹ค."},{"id":"","label":"edge padding","localized":"๊ฐ€์žฅ์ž๋ฆฌ ํŒจ๋”ฉ","hint":"๋งˆ์Šคํฌ๋œ ์˜์—ญ์˜ ๊ฐ€์žฅ์ž๋ฆฌ๋ฅผ ํ™•์žฅํ•ฉ๋‹ˆ๋‹ค. ๋‹จ์œ„๋Š” %์ด๊ณ  ์ตœ๋Œ“๊ฐ’์€ 100%์ž…๋‹ˆ๋‹ค."},{"id":"","label":"min confidence","localized":"์ตœ์†Œ ์‹ ๋ขฐ๋„","hint":"๋””ํ…Œ์ผ๋Ÿฌ์— ์˜ํ•ด ๊ฐ์ง€๋œ ํ•ญ๋ชฉ์˜ ์ตœ์†Œ ์‹ ๋ขฐ๋„"},{"id":"","label":"ReBasin","localized":"","hint":"๋‘ ๋ชจ๋ธ์—์„œ ๋” ๋งŽ์€ ๊ธฐ๋Šฅ์„ ์œ ์ง€ํ•˜๊ธฐ ์œ„ํ•ด ์ˆœ์—ด๊ณผ ํ•จ๊ป˜ ์—ฌ๋Ÿฌ ๋ฒˆ ๋ณ‘ํ•ฉ์„ ์ˆ˜ํ–‰ํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"Number of ReBasin Iterations","localized":"ReBasin ๋ฐ˜๋ณต ํšŸ์ˆ˜","hint":"์ €์žฅํ•˜๊ธฐ ์ „์— ๋ชจ๋ธ์„ ๋ณ‘ํ•ฉํ•˜๊ณ  ์ˆœ์—ดํ•˜๋Š” ํšŸ์ˆ˜"},{"id":"","label":"cpu","localized":"CPU","hint":"CPU์™€ RAM๋งŒ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค. ๊ฐ€์žฅ ๋Š๋ฆฌ์ง€๋งŒ ๋ฉ”๋ชจ๋ฆฌ ๋ถ€์กฑ ์˜ค๋ฅ˜๊ฐ€ ๋ฐœ์ƒํ•  ๊ฐ€๋Šฅ์„ฑ์ด ๊ฐ€์žฅ ์ ์Šต๋‹ˆ๋‹ค."},{"id":"","label":"shuffle","localized":"์…”ํ”Œ","hint":"์ „์ฒด ๋ชจ๋ธ์€ RAM์— ๋กœ๋“œํ•˜๊ณ  ํ•„์š”ํ•œ ๊ฐ’๋งŒ VRAM์œผ๋กœ ์˜ฎ๊ธด ํ›„ ์—ฐ์‚ฐํ•ฉ๋‹ˆ๋‹ค. CPU์™€ RAM๋งŒ ์‚ฌ์šฉํ–ˆ์„ ๋•Œ์— ๋น„ํ•ด ์กฐ๊ธˆ ๋” ๋น ๋ฆ…๋‹ˆ๋‹ค. SDXL ๋ณ‘ํ•ฉ์— ๊ถŒ์žฅํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"Preset Interpolation Ratio","localized":"์‚ฌ์ „ ์„ค์ • ๋ณด๊ฐ„ ๋น„์œจ","hint":"๋‘ ๊ฐœ์˜ ์‚ฌ์ „ ์„ค์ •์ด ์„ ํƒ๋œ ๊ฒฝ์šฐ ๊ทธ ์‚ฌ์ด๋ฅผ ๋ณด๊ฐ„ํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"active ip adapters","localized":"ํ™œ์„ฑ IP ์–ด๋Œ‘ํ„ฐ ๊ฐœ์ˆ˜","hint":"ํ™œ์„ฑ IP ์–ด๋Œ‘ํ„ฐ ๊ฐœ์ˆ˜"},{"id":"","label":"unload adapter","localized":"์–ด๋Œ‘ํ„ฐ ์–ธ๋กœ๋“œ","hint":"์ƒ์„ฑ์ด ๋๋‚˜๋ฉด ์ฆ‰์‹œ IP ์–ด๋Œ‘ํ„ฐ๋ฅผ ์–ธ๋กœ๋“œํ•ฉ๋‹ˆ๋‹ค. ์ด ์˜ต์…˜์„ ๋น„ํ™œ์„ฑํ™”ํ•˜๋ฉด ๋‹ค์Œ ์ƒ์„ฑ์—์„œ IP ์–ด๋Œ‘ํ„ฐ๋ฅผ ๋” ๋น ๋ฅด๊ฒŒ ์‚ฌ์šฉํ•˜๊ธฐ ์œ„ํ•ด ๋กœ๋“œ๋œ ์ƒํƒœ๋ฅผ ์œ ์ง€ํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"crop to portrait","localized":"์„ธ๋กœ๋กœ ์ž๋ฅด๊ธฐ","hint":"IP ์–ด๋Œ‘ํ„ฐ ์ž…๋ ฅ์œผ๋กœ ์‚ฌ์šฉํ•˜๊ธฐ ์ „์— ์ž…๋ ฅ ์ด๋ฏธ์ง€๋ฅผ ์„ธ๋กœ ์ „์šฉ์œผ๋กœ ์ž๋ฆ…๋‹ˆ๋‹ค."},{"id":"","label":"layer options","localized":"๋ ˆ์ด์–ด ์˜ต์…˜","hint":"IP ์–ด๋Œ‘ํ„ฐ ๊ณ ๊ธ‰ ๋ ˆ์ด์–ด ์˜ต์…˜์„ ์ˆ˜๋™์œผ๋กœ ์ง€์ •ํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"X values","localized":"X ๊ฐ’","hint":"์‰ผํ‘œ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ X์ถ•์— ๋Œ€ํ•œ ๊ฐ’์„ ๋ถ„๋ฆฌํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"Y values","localized":"Y ๊ฐ’","hint":"์‰ผํ‘œ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ Y์ถ•์— ๋Œ€ํ•œ ๊ฐ’์„ ๋ถ„๋ฆฌํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"Z values","localized":"Z ๊ฐ’","hint":"์‰ผํ‘œ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ Z์ถ•์— ๋Œ€ํ•œ ๊ฐ’์„ ๋ถ„๋ฆฌํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"Tile overlap","localized":"ํƒ€์ผ ์ค‘๋ณต","hint":"์—…์Šค์ผ€์ผ์„ ํ•  ๋•Œ ๊ฐ ํƒ€์ผ ์‚ฌ์ด์— ๊ฒน์น˜๊ฒŒ ํ•  ํ”ฝ์…€ ์ˆ˜์ž…๋‹ˆ๋‹ค. ๊ฒน์น˜๋Š” ํ”ฝ์…€์˜ ์ˆ˜๊ฐ€ ๋งŽ์„ ์ˆ˜๋ก ๋ชจ๋“  ํƒ€์ผ์ด ํ•˜๋‚˜์˜ ๊ทธ๋ฆผ์œผ๋กœ ๋‹ค์‹œ ๋ณ‘ํ•ฉ๋œ ์ดํ›„ ํƒ€์ผ ๊ฐ„ ์ด์Œ์ƒˆ๊ฐ€ ๋ˆˆ์— ๋œ ๋•๋‹ˆ๋‹ค."},{"id":"sett_reload_sd_model","label":"Reload model","localized":"๋ชจ๋ธ ๋‹ค์‹œ ๋กœ๋“œ","hint":"ํ˜„์žฌ ์„ ํƒ๋œ ๋ชจ๋ธ์„ ๋‹ค์‹œ ๋กœ๋“œํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"Variational Auto Encoder","localized":"Variational Auto Encoder","hint":"VAE ๋ฐ ์ด๋ฏธ์ง€ ๋””์ฝ”๋“œ ์ž‘์—…๊ณผ ๊ด€๋ จ๋œ ์„ค์ •"},{"id":"","label":"Text encoder","localized":"ํ…์ŠคํŠธ ์ธ์ฝ”๋”","hint":"ํ…์ŠคํŠธ ์ธ์ฝ”๋” ๋ฐ ํ”„๋กฌํ”„ํŠธ ์ธ์ฝ”๋“œ ๊ด€๋ จ ์„ค์ •"},{"id":"","label":"Compute Settings","localized":"์—ฐ์‚ฐ ์„ค์ •","hint":"์—ฐ์‚ฐ ์ •๋ฐ€๋„, cross-attention ๋ฐ ์ตœ์ ํ™” ๊ด€๋ จ ์„ค์ •"},{"id":"","label":"Backend Settings","localized":"๋ฐฑ์—”๋“œ ์„ค์ •","hint":"torch, onnx ๋ฐ olive์™€ ๊ฐ™์€ ์—ฐ์‚ฐ ๋ฐฑ์—”๋“œ ๊ด€๋ จ ์„ค์ •"},{"id":"","label":"Pipeline modifiers","localized":"ํŒŒ์ดํ”„๋ผ์ธ ๊ณ ๊ธ‰ ๊ธฐ๋Šฅ","hint":"์ƒ์„ฑ ์ค‘์— ํ™œ์„ฑํ™”ํ•  ์ˆ˜ ์žˆ๋Š” ์ถ”๊ฐ€ ๊ธฐ๋Šฅ"},{"id":"","label":"Sampler Settings","localized":"์ƒ˜ํ”Œ๋Ÿฌ ์„ค์ •","hint":"์ƒ˜ํ”Œ๋Ÿฌ ์„ ํƒ ๋ฐ ๊ตฌ์„ฑ, Diffusers ์ƒ˜ํ”Œ๋Ÿฌ ๊ตฌ์„ฑ ๊ด€๋ จ ์„ค์ •"},{"id":"","label":"Postprocessing","localized":"ํ›„์ฒ˜๋ฆฌ","hint":"์ด๋ฏธ์ง€ ์ƒ์„ฑ ํ›„ ์ฒ˜๋ฆฌ, ์–ผ๊ตด ๋ณต์› ๋ฐ ์—…์Šค์ผ€์ผ ๊ด€๋ จ ์„ค์ •"},{"id":"","label":"Huggingface","localized":"Huggingface","hint":"Huggingface ๊ด€๋ จ ์„ค์ •"},{"id":"","label":"Show all pages","localized":"๋ชจ๋“  ํŽ˜์ด์ง€ ํ‘œ์‹œ","hint":"๋ชจ๋“  ์„ค์ • ํŽ˜์ด์ง€๋ฅผ ํ‘œ์‹œํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"VAE model","localized":"VAE ๋ชจ๋ธ","hint":"VAE๋Š” ์ตœ์ข… ์ด๋ฏธ์ง€์˜ ๋ฏธ์„ธํ•œ ๋””ํ…Œ์ผ์„ ๋ณด์ •ํ•ฉ๋‹ˆ๋‹ค. ์ƒ‰๊ฐ์„ ๋ณ€๊ฒฝํ•  ์ˆ˜๋„ ์žˆ์Šต๋‹ˆ๋‹ค."},{"id":"","label":"Model load using streams","localized":"์ŠคํŠธ๋ฆผ์„ ์‚ฌ์šฉํ•˜์—ฌ ๋ชจ๋ธ ๋กœ๋“œ","hint":"๋ชจ๋ธ์„ ๋กœ๋“œํ•  ๋•Œ ๋Š๋ฆฐ ์ €์žฅ ์žฅ์น˜์™€ ๋„คํŠธ์›Œํฌ ์Šคํ† ๋ฆฌ์ง€์— ์ตœ์ ํ™”๋œ ์ŠคํŠธ๋ฆฌ๋ฐ ๋กœ๋“œ๋ฅผ ์‹œ๋„ํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"Full","localized":"","hint":"ํ•ญ์ƒ ์ตœ๋Œ€ ์ •๋ฐ€๋„๋ฅผ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"FP32","localized":"FP32","hint":"32๋น„ํŠธ ๋ถ€๋™ ์†Œ์ˆ˜์ ์„ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"FP16","localized":"FP16","hint":"16๋น„ํŠธ ๋ถ€๋™ ์†Œ์ˆ˜์ ์„ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"BF16","localized":"BF16","hint":"์ˆ˜์ •๋œ 16๋น„ํŠธ ๋ถ€๋™ ์†Œ์ˆ˜์ ์„ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"Full precision (--no-half-vae)","localized":"VAE ์ตœ๋Œ€ ์ •๋ฐ€๋„ (--no-half-vae)","hint":"VAE์— FP32๋ฅผ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค. ๋” ๋งŽ์€ VRAM์„ ์‚ฌ์šฉํ•˜๊ณ  ์ƒ์„ฑ ์†๋„๊ฐ€ ๋Š๋ฆฌ์ง€๋งŒ ๋” ๋‚˜์€ ๊ฒฐ๊ณผ๋ฅผ ์–ป์„ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค."},{"id":"","label":"Force full precision (--no-half)","localized":"๋ชจ๋ธ ์ตœ๋Œ€ ์ •๋ฐ€๋„ (--no-half)","hint":"๋ชจ๋ธ์— FP32๋ฅผ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค. ๋” ๋งŽ์€ VRAM์„ ์‚ฌ์šฉํ•˜๊ณ  ์ƒ์„ฑ ์†๋„๊ฐ€ ๋Š๋ฆฌ์ง€๋งŒ ๋” ๋‚˜์€ ๊ฒฐ๊ณผ๋ฅผ ์–ป์„ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค."},{"id":"","label":"Upcast sampling","localized":"์—…์บ์ŠคํŠธ ์ƒ˜ํ”Œ๋ง","hint":"--no-half๋ฅผ ์‚ฌ์šฉํ–ˆ์„ ๋•Œ์™€ ์œ ์‚ฌํ•œ ๊ฒฐ๊ณผ๋ฅผ ์–ป์„ ์ˆ˜ ์žˆ์ง€๋งŒ ์ƒ์„ฑ ์†๋„๊ฐ€ ๋” ๋น ๋ฅด๊ณ  ๋ฉ”๋ชจ๋ฆฌ๋„ ๋œ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"Attempt VAE roll back for NaN values","localized":"NaN ๊ฐ’ ๋ฐœ์ƒ ์‹œ VAE ๋กค๋ฐฑ ์‹œ๋„","hint":"Torch 2.1 ๋ฐ NaN ๊ฒ€์‚ฌ๊ฐ€ ํ™œ์„ฑํ™”๋˜์–ด ์žˆ์–ด์•ผ ํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"Olive use FP16 on optimization","localized":"Olive:์ตœ์ ํ™” ์‹œ FP16 ์‚ฌ์šฉ","hint":"Olive ์ตœ์ ํ™” ํ”„๋กœ์„ธ์Šค์˜ ์ถœ๋ ฅ ๋ชจ๋ธ์— 16๋น„ํŠธ ๋ถ€๋™ ์†Œ์ˆ˜์  ์ •๋ฐ€๋„๋ฅผ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค. ๋น„ํ™œ์„ฑํ™”๋œ ๊ฒฝ์šฐ 32๋น„ํŠธ ๋ถ€๋™ ์†Œ์ˆ˜์  ์ •๋ฐ€๋„๋ฅผ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"Olive force FP32 for VAE Encoder","localized":"Olive:VAE ์ธ์ฝ”๋”์— ๋Œ€ํ•ด FP32 ๊ฐ•์ œ","hint":"์ถœ๋ ฅ ๋ชจ๋ธ์˜ VAE ์ธ์ฝ”๋”์— 32๋น„ํŠธ ๋ถ€๋™ ์†Œ์ˆ˜์  ์ •๋ฐ€๋„๋ฅผ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค. ์ด๋Š” '์ตœ์ ํ™” ์‹œ FP16 ์‚ฌ์šฉ' ์˜ต์…˜์„ ๋ฌด์‹œํ•ฉ๋‹ˆ๋‹ค. Img2Img์—์„œ NaN ๋˜๋Š” ๊ฒ€์€์ƒ‰ ๋นˆ ์ด๋ฏธ์ง€๊ฐ€ ๋ฐœ์ƒํ•˜๋Š” ๊ฒฝ์šฐ ์ด ์˜ต์…˜์„ ํ™œ์„ฑํ™”ํ•˜๊ณ  ์บ์‹œ๋œ ๋ชจ๋ธ์„ ์ œ๊ฑฐํ•˜์„ธ์š”."},{"id":"","label":"Olive use static dimensions","localized":"Olive:์ •์  ์ฐจ์› ์‚ฌ์šฉ","hint":"Olive ์ตœ์ ํ™” ๋ชจ๋ธ์˜ ์ด๋ฏธ์ง€ ์ƒ์„ฑ ์†๋„๋ฅผ ๋งค์šฐ ๋น ๋ฅด๊ฒŒ ๋งŒ๋“ญ๋‹ˆ๋‹ค. (OrtTransformersOptimization)"},{"id":"","label":"Olive cache optimized models","localized":"Olive:์ตœ์ ํ™” ๋ชจ๋ธ ์บ์‹œ","hint":"Olive ์ฒ˜๋ฆฌ๋œ ๋ชจ๋ธ์„ ์ €์žฅํ•ฉ๋‹ˆ๋‹ค. ONNX ํƒญ์—์„œ ๊ด€๋ฆฌํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค."},{"id":"","label":"Inpainting conditioning mask strength","localized":"์ธํŽ˜์ธํŠธ conditioning mask ๊ฐ•๋„","hint":"์ธํŽ˜์ธํŠธ ๋ฐ img2img์— ๋Œ€ํ•ด ์›๋ณธ ์ด๋ฏธ์ง€๋ฅผ ์–ผ๋งˆ๋‚˜ ๊ฐ•ํ•˜๊ฒŒ ๋งˆ์Šคํ‚นํ• ์ง€ ๊ฒฐ์ •ํ•ฉ๋‹ˆ๋‹ค. 1.0์€ ์™„์ „ํžˆ ๋งˆ์Šคํ‚น(๊ธฐ๋ณธ๊ฐ’)์„ ์˜๋ฏธํ•ฉ๋‹ˆ๋‹ค. 0.0์€ ์™„์ „ํžˆ ๋งˆ์Šคํ‚น๋˜์ง€ ์•Š์€ ์ปจ๋””์…”๋‹์„ ์˜๋ฏธํ•ฉ๋‹ˆ๋‹ค. ๊ฐ’์ด ๋‚ฎ์„์ˆ˜๋ก ์ด๋ฏธ์ง€์˜ ์ „์ฒด ๊ตฌ์„ฑ์„ ๋ณด์กดํ•˜๋Š” ๋ฐ ๋„์›€์ด ๋˜์ง€๋งŒ ํฐ ๋ณ€๊ฒฝ์—๋Š” ์–ด๋ ค์›€์„ ๊ฒช์Šต๋‹ˆ๋‹ค."},{"id":"","label":"Clip skip","localized":"Clip skip","hint":"CLIP ๋ชจ๋ธ์˜ ์ค‘๋‹จ ์‹œ์ . ์ด ๊ฐ’์„ 1๋กœ ์„ค์ •ํ•˜๋ฉด ํ‰์†Œ์™€ ๊ฐ™์ด ๋งˆ์ง€๋ง‰ ๋ ˆ์ด์–ด์—์„œ ์ค‘๋‹จํ•˜๊ณ , 2๋กœ ์„ค์ •ํ•˜๋ฉด ๋์—์„œ ๋‘ ๋ฒˆ์งธ ๋ ˆ์ด์–ด์—์„œ ์ค‘๋‹จํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"Approximate","localized":"","hint":"๋น ๋ฅด๊ณ  ๊ฐ€๋ฒผ์šด ๊ทผ์‚ฌ ๋ฐฉ์‹์ž…๋‹ˆ๋‹ค. VAE์— ๋น„ํ•ด ๋งค์šฐ ๋น ๋ฅด์ง€๋งŒ ๊ฐ€๋กœ/์„ธ๋กœ ํ•ด์ƒ๋„๊ฐ€ 4๋ฐฐ ์ž‘๊ณ  ํ’ˆ์งˆ์ด ๋‚ฎ์€ ์‚ฌ์ง„์„ ์ƒ์„ฑํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"Simple","localized":"","hint":"๋งค์šฐ ๋น ๋ฅด๊ณ  ๊ฐ€๋ฒผ์šด ๊ทผ์‚ฌ ๋ฐฉ์‹์ž…๋‹ˆ๋‹ค. VAE์— ๋น„ํ•ด ๋งค์šฐ ๋น ๋ฅด์ง€๋งŒ ๊ฐ€๋กœ/์„ธ๋กœ ํ•ด์ƒ๋„๊ฐ€ 8๋ฐฐ ์ž‘๊ณ  ํ’ˆ์งˆ์ด ๋งค์šฐ ๋‚ฎ์€ ์‚ฌ์ง„์„ ์ƒ์„ฑํ•ฉ๋‹ˆ๋‹ค."},{"id":"","label":"Progress update period","localized":"์ง„ํ–‰๋ฅ  ์—…๋ฐ์ดํŠธ ์ฃผ๊ธฐ","hint":"UI ํ”„๋กœ๊ทธ๋ ˆ์Šค ๋ฐ” ๋ฐ ๋ฏธ๋ฆฌ๋ณด๊ธฐ๋ฅผ ์œ„ํ•œ ์—…๋ฐ์ดํŠธ ์ฃผ๊ธฐ์ž…๋‹ˆ๋‹ค. 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-options_templates.update(options_section(('vae_encoder', "Variable Auto Encoder"), { +options_templates.update(options_section(('vae_encoder', "Variational Auto Encoder"), { "sd_vae": OptionInfo("Automatic", "VAE model", gr.Dropdown, lambda: {"choices": shared_items.sd_vae_items()}, refresh=shared_items.refresh_vae_list), "diffusers_vae_upcast": OptionInfo("default", "VAE upcasting", gr.Radio, {"choices": ['default', 'true', 'false']}), "no_half_vae": OptionInfo(False if not cmd_opts.use_openvino else True, "Full precision (--no-half-vae)"), From 139710ee6cdc40f5a58164d9e0a750d9a0ad1ecc Mon Sep 17 00:00:00 2001 From: Vladimir Mandic Date: Thu, 15 May 2025 09:09:02 -0400 Subject: [PATCH 18/18] update wiki/changelog/todo/diffusers Signed-off-by: Vladimir Mandic --- CHANGELOG.md | 2 +- TODO.md | 30 +++++++++++++++++------------- installer.py | 2 +- wiki | 2 +- 4 files changed, 20 insertions(+), 16 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 97c199892..1365a721a 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,6 +1,6 @@ # Change Log for SD.Next -## Update for 2025-05-14 +## Update for 2025-05-15 *Curious how your system is performing?* Run a built-in benchmark and compare to over 15k unique results world-wide: (Benchmark data)[https://vladmandic.github.io/sd-extension-system-info/pages/benchmark.html]! diff --git a/TODO.md b/TODO.md index 3123f94c5..7b4b0f1f6 100644 --- a/TODO.md +++ b/TODO.md @@ -6,25 +6,29 @@ Main ToDo list can be found at [GitHub projects](https://github.com/users/vladma ### Issues/Limitations -N/A +- Control: API enhance scripts compatibility +- Video: API support ## Future Candidates -- Control: API enhance scripts compatibility -- Video: API support - [IPAdapter negative guidance](https://github.com/huggingface/diffusers/discussions/7167) - [STG](https://github.com/huggingface/diffusers/blob/main/examples/community/README.md#spatiotemporal-skip-guidance) +- [LBM](https://github.com/gojasper/LBM) - [SmoothCache](https://github.com/huggingface/diffusers/issues/11135) -- [Magi](https://github.com/SandAI-org/MAGI-1) -- [SkyReels-v2](https://github.com/huggingface/diffusers/pull/11518) -- [LTXVideo-0.9.7](https://github.com/huggingface/diffusers/pull/11516) -- [VisualClose](https://github.com/huggingface/diffusers/pull/11377) -- [SEVA](https://github.com/huggingface/diffusers/pull/11440) -- [CausVid-Plus](https://github.com/goatWu/CausVid-Plus/) -- [JoyCaption-Beta-One](https://huggingface.co/fancyfeast/llama-joycaption-beta-one-hf-llava) -- [Diffusers guiders](https://github.com/huggingface/diffusers/pull/11311) -- [Nunchaku PulID](https://github.com/mit-han-lab/nunchaku/pull/274) -- [Pydantic changes](https://github.com/Cschlaefli/automatic) +- [Magi](https://github.com/SandAI-org/MAGI-1) +- [SkyReels-v2](https://github.com/huggingface/diffusers/pull/11518) +- [WanAI-2.1 VACE](https://huggingface.co/Wan-AI/Wan2.1-VACE-14B) +- [LTXVideo-0.9.7](https://github.com/huggingface/diffusers/pull/11516) +- [VisualClose](https://github.com/huggingface/diffusers/pull/11377) +- [SEVA](https://github.com/huggingface/diffusers/pull/11440) +- [CausVid-Plus](https://github.com/goatWu/CausVid-Plus/) +- [Index-AniSora](https://github.com/bilibili/Index-anisora) +- [HiDream GGUF](https://github.com/huggingface/diffusers/pull/11550) +- [JoyCaption-Beta-One](https://huggingface.co/fancyfeast/llama-joycaption-beta-one-hf-llava) +- [Diffusers guiders](https://github.com/huggingface/diffusers/pull/11311) +- [Nunchaku PulID](https://github.com/mit-han-lab/nunchaku/pull/274) +- [Dream0](https://huggingface.co/ByteDance/DreamO) +- [Pydantic changes](https://github.com/Cschlaefli/automatic) ## Code TODO diff --git a/installer.py b/installer.py index 0137b41e7..b8b0b5bdf 100644 --- a/installer.py +++ b/installer.py @@ -546,7 +546,7 @@ def check_diffusers(): t_start = time.time() if args.skip_all or args.skip_git or args.experimental: return - sha = 'f4fa3beee7f49b80ce7a58f9c8002f43299175c9' # diffusers commit hash + sha = '20379d9d1395b8e95977faf80facff43065ba75f' # diffusers commit hash pkg = pkg_resources.working_set.by_key.get('diffusers', None) minor = int(pkg.version.split('.')[1] if pkg is not None else 0) cur = opts.get('diffusers_version', '') if minor > 0 else '' diff --git a/wiki b/wiki index e3b0583b6..6192bb85f 160000 --- a/wiki +++ b/wiki @@ -1 +1 @@ -Subproject commit e3b0583b659c5b6adc49381f00caeee3b66b5b7e +Subproject commit 6192bb85f10693bf632f751c0935ed57969ce7fe