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https://github.com/vladmandic/automatic
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img2img batch processing improvements
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Submodule extensions-builtin/sd-webui-controlnet updated: 07bed6ccf8...098f6cd887
+1
-1
@@ -535,7 +535,7 @@ def save_image(image, path, basename, seed=None, prompt=None, extension='jpg', i
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return None, None
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if not check_grid_size([image]):
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return None, None
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if path is None: # set default path to avoid errors when functions are triggered manually or via api and param is not set
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if path is None or len(path) == 0: # set default path to avoid errors when functions are triggered manually or via api and param is not set
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path = shared.opts.outdir_save
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namegen = FilenameGenerator(p, seed, prompt, image)
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if save_to_dirs is None:
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+33
-22
@@ -2,45 +2,50 @@ import os
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import numpy as np
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from PIL import Image, ImageOps, ImageFilter, ImageEnhance, ImageChops, UnidentifiedImageError
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import modules.scripts
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from modules import sd_samplers, shared, processing
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from modules import sd_samplers, shared, processing, images
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from modules.generation_parameters_copypaste import create_override_settings_dict
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from modules.ui import plaintext_to_html
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from modules.memstats import memory_stats
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def process_batch(p, input_dir, output_dir, inpaint_mask_dir, args):
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def process_batch(p, input_files, input_dir, output_dir, inpaint_mask_dir, args):
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shared.log.debug(f'batch: {input_dir}|{output_dir}|{inpaint_mask_dir}')
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processing.fix_seed(p)
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images = shared.listfiles(input_dir)
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if len(input_files) > 0:
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image_files = [f.name for f in input_files]
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else:
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if not os.path.isdir(input_dir):
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shared.log.error(f"Input directory not found: {input_dir}")
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return
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image_files = shared.listfiles(input_dir)
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is_inpaint_batch = False
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if inpaint_mask_dir:
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inpaint_masks = shared.listfiles(inpaint_mask_dir)
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is_inpaint_batch = len(inpaint_masks) > 0
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if is_inpaint_batch:
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shared.log.info(f"\nInpaint batch is enabled. {len(inpaint_masks)} masks found.")
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shared.log.info(f"Will process {len(images)} images, creating {p.n_iter * p.batch_size} new images for each.")
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shared.log.info(f"Will process {len(image_files)} images, creating {p.n_iter * p.batch_size} new images for each.")
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save_normally = output_dir == ''
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p.do_not_save_grid = True
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p.do_not_save_samples = not save_normally
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shared.state.job_count = len(images) * p.n_iter
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for i, image in enumerate(images):
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shared.state.job = f"{i+1} out of {len(images)}"
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shared.state.job_count = len(image_files) * p.n_iter
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for i, image_file in enumerate(image_files):
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shared.state.job = f"{i+1} out of {len(image_files)}"
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if shared.state.skipped:
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shared.state.skipped = False
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if shared.state.interrupted:
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break
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try:
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img = Image.open(image)
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img = Image.open(image_file)
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except UnidentifiedImageError as e:
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shared.log.error(f"Image error: {e}")
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continue
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# Use the EXIF orientation of photos taken by smartphones.
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img = ImageOps.exif_transpose(img)
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p.init_images = [img] * p.batch_size
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if is_inpaint_batch:
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# try to find corresponding mask for an image using simple filename matching
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mask_image_path = os.path.join(inpaint_mask_dir, os.path.basename(image))
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mask_image_path = os.path.join(inpaint_mask_dir, os.path.basename(image_file))
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# if not found use first one ("same mask for all images" use-case)
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if mask_image_path not in inpaint_masks:
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mask_image_path = inpaint_masks[0]
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@@ -50,26 +55,32 @@ def process_batch(p, input_dir, output_dir, inpaint_mask_dir, args):
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proc = modules.scripts.scripts_img2img.run(p, *args)
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if proc is None:
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proc = processing.process_images(p)
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for n, processed_image in enumerate(proc.images):
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filename = os.path.basename(image)
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if n > 0:
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left, right = os.path.splitext(filename)
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filename = f"{left}-{n}{right}"
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for n, image in enumerate(proc.images):
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basename, ext = os.path.splitext(os.path.basename(image_file))
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ext = ext[1:]
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if len(proc.images) > 1:
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basename = f'{basename}-{n}'
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if not shared.opts.use_original_name_batch:
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basename = ''
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ext = shared.opts.samples_format
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if output_dir == '':
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output_dir = shared.opts.outdir_img2img_samples
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if not save_normally:
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os.makedirs(output_dir, exist_ok=True)
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if processed_image.mode == 'RGBA':
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processed_image = processed_image.convert("RGB")
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processed_image.save(os.path.join(output_dir, filename))
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shared.log.debug(f'Processed: {len(images)} Memory: {memory_stats()} batch')
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geninfo, items = images.read_info_from_image(image)
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for k, v in items.items():
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image.info[k] = v
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images.save_image(image, path=output_dir, basename=basename, seed=None, prompt=None, extension=ext, info=geninfo, short_filename=True, no_prompt=True, grid=False, pnginfo_section_name="extras", existing_info=image.info, forced_filename=None)
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shared.log.debug(f'Processed: {len(image_files)} Memory: {memory_stats()} batch')
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def img2img(id_task: str, mode: int, prompt: str, negative_prompt: str, prompt_styles, init_img, sketch, init_img_with_mask, inpaint_color_sketch, inpaint_color_sketch_orig, init_img_inpaint, init_mask_inpaint, steps: int, sampler_index: int, latent_index: int, mask_blur: int, mask_alpha: float, inpainting_fill: int, restore_faces: bool, tiling: bool, n_iter: int, batch_size: int, cfg_scale: float, image_cfg_scale: float, diffusers_guidance_rescale: float, refiner_denoise_start: float, refiner_denoise_end: float, clip_skip: int, denoising_strength: float, seed: int, subseed: int, subseed_strength: float, seed_resize_from_h: int, seed_resize_from_w: int, selected_scale_tab: int, height: int, width: int, scale_by: float, resize_mode: int, inpaint_full_res: bool, inpaint_full_res_padding: int, inpainting_mask_invert: int, img2img_batch_input_dir: str, img2img_batch_output_dir: str, img2img_batch_inpaint_mask_dir: str, override_settings_texts, *args): # pylint: disable=unused-argument
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def img2img(id_task: str, mode: int, prompt: str, negative_prompt: str, prompt_styles, init_img, sketch, init_img_with_mask, inpaint_color_sketch, inpaint_color_sketch_orig, init_img_inpaint, init_mask_inpaint, steps: int, sampler_index: int, latent_index: int, mask_blur: int, mask_alpha: float, inpainting_fill: int, restore_faces: bool, tiling: bool, n_iter: int, batch_size: int, cfg_scale: float, image_cfg_scale: float, diffusers_guidance_rescale: float, refiner_denoise_start: float, refiner_denoise_end: float, clip_skip: int, denoising_strength: float, seed: int, subseed: int, subseed_strength: float, seed_resize_from_h: int, seed_resize_from_w: int, selected_scale_tab: int, height: int, width: int, scale_by: float, resize_mode: int, inpaint_full_res: bool, inpaint_full_res_padding: int, inpainting_mask_invert: int, img2img_batch_files: list, img2img_batch_input_dir: str, img2img_batch_output_dir: str, img2img_batch_inpaint_mask_dir: str, override_settings_texts, *args): # pylint: disable=unused-argument
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if shared.sd_model is None:
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shared.log.warning('Model not loaded')
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return [], '', '', 'Error: model not loaded'
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shared.log.debug(f'img2img: id_task={id_task}|mode={mode}|prompt={prompt}|negative_prompt={negative_prompt}|prompt_styles={prompt_styles}|init_img={init_img}|sketch={sketch}|init_img_with_mask={init_img_with_mask}|inpaint_color_sketch={inpaint_color_sketch}|inpaint_color_sketch_orig={inpaint_color_sketch_orig}|init_img_inpaint={init_img_inpaint}|init_mask_inpaint={init_mask_inpaint}|steps={steps}|sampler_index={sampler_index}|latent_index={latent_index}|mask_blur={mask_blur}|mask_alpha={mask_alpha}|inpainting_fill={inpainting_fill}|restore_faces={restore_faces}|tiling={tiling}|n_iter={n_iter}|batch_size={batch_size}|cfg_scale={cfg_scale}|image_cfg_scale={image_cfg_scale}|clip_skip={clip_skip}|denoising_strength={denoising_strength}|seed={seed}|subseed{subseed}|subseed_strength={subseed_strength}|seed_resize_from_h={seed_resize_from_h}|seed_resize_from_w={seed_resize_from_w}|selected_scale_tab={selected_scale_tab}|height={height}|width={width}|scale_by={scale_by}|resize_mode={resize_mode}|inpaint_full_res={inpaint_full_res}|inpaint_full_res_padding={inpaint_full_res_padding}|inpainting_mask_invert={inpainting_mask_invert}|img2img_batch_input_dir={img2img_batch_input_dir}|img2img_batch_output_dir={img2img_batch_output_dir}|img2img_batch_inpaint_mask_dir={img2img_batch_inpaint_mask_dir}|override_settings_texts={override_settings_texts}|args={args}')
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shared.log.debug(f'img2img: id_task={id_task}|mode={mode}|prompt={prompt}|negative_prompt={negative_prompt}|prompt_styles={prompt_styles}|init_img={init_img}|sketch={sketch}|init_img_with_mask={init_img_with_mask}|inpaint_color_sketch={inpaint_color_sketch}|inpaint_color_sketch_orig={inpaint_color_sketch_orig}|init_img_inpaint={init_img_inpaint}|init_mask_inpaint={init_mask_inpaint}|steps={steps}|sampler_index={sampler_index}|latent_index={latent_index}|mask_blur={mask_blur}|mask_alpha={mask_alpha}|inpainting_fill={inpainting_fill}|restore_faces={restore_faces}|tiling={tiling}|n_iter={n_iter}|batch_size={batch_size}|cfg_scale={cfg_scale}|image_cfg_scale={image_cfg_scale}|clip_skip={clip_skip}|denoising_strength={denoising_strength}|seed={seed}|subseed{subseed}|subseed_strength={subseed_strength}|seed_resize_from_h={seed_resize_from_h}|seed_resize_from_w={seed_resize_from_w}|selected_scale_tab={selected_scale_tab}|height={height}|width={width}|scale_by={scale_by}|resize_mode={resize_mode}|inpaint_full_res={inpaint_full_res}|inpaint_full_res_padding={inpaint_full_res_padding}|inpainting_mask_invert={inpainting_mask_invert}|img2img_batch_files={img2img_batch_files}|img2img_batch_input_dir={img2img_batch_input_dir}|img2img_batch_output_dir={img2img_batch_output_dir}|img2img_batch_inpaint_mask_dir={img2img_batch_inpaint_mask_dir}|override_settings_texts={override_settings_texts}|args={args}')
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if init_img is None:
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shared.log.debug('Init image not set')
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@@ -169,7 +180,7 @@ def img2img(id_task: str, mode: int, prompt: str, negative_prompt: str, prompt_s
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if mask:
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p.extra_generation_params["Mask blur"] = mask_blur
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if is_batch:
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process_batch(p, img2img_batch_input_dir, img2img_batch_output_dir, img2img_batch_inpaint_mask_dir, args)
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process_batch(p, img2img_batch_files, img2img_batch_input_dir, img2img_batch_output_dir, img2img_batch_inpaint_mask_dir, args)
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processed = processing.Processed(p, [], p.seed, "")
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else:
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processed = modules.scripts.scripts_img2img.run(p, *args)
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+12
-5
@@ -113,13 +113,19 @@ def apply_styles(prompt, prompt_neg, styles):
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return [gr.Textbox.update(value=prompt), gr.Textbox.update(value=prompt_neg), gr.Dropdown.update(value=[])]
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def process_interrogate(interrogation_function, mode, ii_input_dir, ii_output_dir, *ii_singles):
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def process_interrogate(interrogation_function, mode, ii_input_files, ii_input_dir, ii_output_dir, *ii_singles):
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if mode in {0, 1, 3, 4}:
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return [interrogation_function(ii_singles[mode]), None]
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if mode == 2:
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return [interrogation_function(ii_singles[mode]["image"]), None]
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if mode == 5:
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images = modules.shared.listfiles(ii_input_dir)
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if len(ii_input_files) > 0:
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images = [f.name for f in ii_input_files]
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else:
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if not os.path.isdir(ii_input_dir):
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modules.shared.log.error(f"Input directory not found: {ii_input_dir}")
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return
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images = modules.shared.listfiles(ii_input_dir)
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if ii_output_dir != "":
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os.makedirs(ii_output_dir, exist_ok=True)
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else:
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@@ -562,11 +568,11 @@ def create_ui(startup_timer = None):
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with gr.TabItem('Batch', id='batch', elem_id="img2img_batch_tab") as tab_batch:
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hidden = '<br>Disabled when launched with --hide-ui-dir-config.' if modules.shared.cmd_opts.hide_ui_dir_config else ''
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gr.HTML(
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"<p style='padding-bottom: 1em;' class=\"text-gray-500\">Process images in a directory on the same machine where the server is running" +
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"<br>Use an empty output directory to save pictures normally instead of writing to the output directory" +
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"<p style='padding-bottom: 1em;' class=\"text-gray-500\">Upload images or process images in a directory" +
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"<br>Add inpaint batch mask directory to enable inpaint batch processing"
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f"{hidden}</p>"
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)
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img2img_batch_files = gr.Files(label="Batch Process", interactive=True, elem_id="img2img_image_batch")
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img2img_batch_input_dir = gr.Textbox(label="Inpaint batch input directory", **modules.shared.hide_dirs, elem_id="img2img_batch_input_dir")
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img2img_batch_output_dir = gr.Textbox(label="Inpaint batch output directory", **modules.shared.hide_dirs, elem_id="img2img_batch_output_dir")
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img2img_batch_inpaint_mask_dir = gr.Textbox(label="Inpaint batch mask directory", **modules.shared.hide_dirs, elem_id="img2img_batch_inpaint_mask_dir")
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@@ -756,7 +762,7 @@ def create_ui(startup_timer = None):
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scale_by,
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resize_mode,
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inpaint_full_res, inpaint_full_res_padding, inpainting_mask_invert,
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img2img_batch_input_dir, img2img_batch_output_dir, img2img_batch_inpaint_mask_dir,
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img2img_batch_files, img2img_batch_input_dir, img2img_batch_output_dir, img2img_batch_inpaint_mask_dir,
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override_settings,
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] + custom_inputs,
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outputs=[
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@@ -772,6 +778,7 @@ def create_ui(startup_timer = None):
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_js="get_img2img_tab_index",
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inputs=[
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dummy_component,
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img2img_batch_files,
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img2img_batch_input_dir,
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img2img_batch_output_dir,
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init_img,
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