mirror of
https://github.com/vladmandic/automatic
synced 2026-09-20 01:31:13 +02:00
@@ -94,6 +94,8 @@ def get_model_type(pipe):
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model_type = 'kolors'
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elif 'Meissonic' in name:
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model_type = 'meissonic'
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elif 'LensPipeline' in name:
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model_type = 'lens'
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elif 'Qwen' in name:
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model_type = 'qwen'
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elif 'ErnieImage' in name or 'ERNIE-Image' in name:
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@@ -99,6 +99,8 @@ def guess_by_name(fn, current_guess):
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new_guess = 'FLUX2 Klein'
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elif 'flux.2' in fn.lower():
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new_guess = 'FLUX2'
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elif 'lens' in fn.lower():
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new_guess = 'Lens'
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elif 'ultraflux' in fn.lower():
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new_guess = 'UltraFlux'
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elif 'flux' in fn.lower() or 'flex.1' in fn.lower():
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@@ -486,6 +486,10 @@ def load_diffuser_force(detected_model_type, checkpoint_info, diffusers_load_con
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from pipelines.model_hunyuandit import load_hunyuandit
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sd_model = load_hunyuandit(checkpoint_info, diffusers_load_config)
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allow_post_quant = False
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elif model_type in ['Lens']:
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from pipelines.model_lens import load_lens
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sd_model = load_lens(checkpoint_info, diffusers_load_config)
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allow_post_quant = False
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elif model_type in ['Kandinsky 2.1']:
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from pipelines.model_kandinsky import load_kandinsky21
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sd_model = load_kandinsky21(checkpoint_info, diffusers_load_config)
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@@ -54,6 +54,7 @@ pipelines = {
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'ERNIE-Image': getattr(diffusers, 'ErnieImagePipeline', None),
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'Nucleus-Image': getattr(diffusers, 'NucleusMoEImagePipeline', None),
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'Z-Image': getattr(diffusers, 'ZImagePipeline', None),
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'Lens': getattr(diffusers, 'LensPipeline', None),
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'FLUX2': getattr(diffusers, 'Flux2Pipeline', None),
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'FLUX2 Klein': getattr(diffusers, 'Flux2KleinPipeline', None),
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'LongCat': getattr(diffusers, 'LongCatImagePipeline', None),
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@@ -142,6 +143,12 @@ def get_pipelines():
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log.error(f'ONNX initialization error: {e}')
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onnx_pipelines = {}
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pipelines.update(onnx_pipelines)
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if 'Lens' in pipelines and pipelines['Lens'] is None:
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try:
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import pipelines.lens as _lens
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pipelines['Lens'] = getattr(diffusers, 'LensPipeline', None)
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except Exception:
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pass
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for k, v in pipelines.items():
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if k != 'Autodetect' and v is None:
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from modules.logger import log
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@@ -158,6 +165,8 @@ def get_repo(model):
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return 'stabilityai/stable-diffusion-3.5-medium'
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elif model == 'FluxPipeline' or model == 'FLUX':
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return 'black-forest-labs/FLUX.1-dev'
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elif model == 'LensPipeline' or model == 'Lens':
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return 'microsoft/Lens'
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else:
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return None
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@@ -113,6 +113,8 @@ def create_settings(cmd_opts):
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"model_qwen_layers": OptionInfo(2, "Qwen layered number of layers", gr.Slider, {"minimum": 2, "maximum": 9, "step": 1 }),
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"model_ernie_sep": OptionInfo("<h2>ERNIE-Image</h2>", "", gr.HTML),
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"model_ernie_enable_pe": OptionInfo(False, "Enable prompt-enhance"),
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"model_lens_sep": OptionInfo("<h2>Lens</h2>", "", gr.HTML),
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"model_lens_enable_pe": OptionInfo(False, "Enable prompt-enhance"),
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}))
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# --- Model Offloading ---
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@@ -71,7 +71,7 @@ def get_model(model_cls, variant=None):
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elif model_cls in {'f1', 'h1', 'zimage', 'lumina2', 'chroma', 'longcat', 'omnigen2', 'flite', 'ovis', 'kandinsky5', 'glmimage', 'cogview3', 'cogview4', 'ultraflux'}:
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model_cls = 'f1'
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variant = 'TAE FLUX.1'
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elif model_cls in {'f2', 'ernieimage'}:
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elif model_cls in {'f2', 'ernieimage', 'lens'}:
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model_cls = 'f2'
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variant = 'TAE FLUX.2'
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elif model_cls in {'sd3'}:
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