mirror of
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44 lines
1.8 KiB
Python
44 lines
1.8 KiB
Python
import transformers
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import diffusers
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from modules import shared, devices, sd_models, model_quant, sd_hijack_te
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from pipelines import generic
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def load_longcat(checkpoint_info, diffusers_load_config=None):
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if diffusers_load_config is None:
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diffusers_load_config = {}
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repo_id = sd_models.path_to_repo(checkpoint_info)
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sd_models.hf_auth_check(checkpoint_info)
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load_args, _quant_args = model_quant.get_dit_args(diffusers_load_config, allow_quant=False)
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shared.log.debug(f'Load model: type=LongCat repo="{repo_id}" config={diffusers_load_config} offload={shared.opts.diffusers_offload_mode} dtype={devices.dtype} args={diffusers_load_config}')
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transformer = generic.load_transformer(repo_id, cls_name=diffusers.LongCatImageTransformer2DModel, load_config=diffusers_load_config)
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text_encoder = generic.load_text_encoder(repo_id, cls_name=transformers.Qwen2_5_VLForConditionalGeneration, load_config=diffusers_load_config)
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text_processor = transformers.Qwen2VLProcessor.from_pretrained(repo_id, subfolder='tokenizer', cache_dir=shared.opts.hfcache_dir)
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if 'edit' in repo_id.lower():
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cls = diffusers.LongCatImageEditPipeline
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else:
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cls = diffusers.LongCatImagePipeline
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pipe = cls.from_pretrained(
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repo_id,
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cache_dir=shared.opts.diffusers_dir,
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transformer=transformer,
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text_encoder=text_encoder,
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text_processor=text_processor,
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**load_args,
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)
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diffusers.pipelines.auto_pipeline.AUTO_TEXT2IMAGE_PIPELINES_MAPPING["longcat"] = cls
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diffusers.pipelines.auto_pipeline.AUTO_IMAGE2IMAGE_PIPELINES_MAPPING["longcat"] = cls
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diffusers.pipelines.auto_pipeline.AUTO_INPAINT_PIPELINES_MAPPING["longcat"] = cls
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del transformer
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del text_encoder
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del text_processor
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sd_hijack_te.init_hijack(pipe)
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devices.torch_gc(force=True, reason='load')
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return pipe
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