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40 lines
1.5 KiB
Python
40 lines
1.5 KiB
Python
import sys
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import diffusers
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import transformers
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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_flite(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=FLite repo="{repo_id}" config={diffusers_load_config} offload={shared.opts.diffusers_offload_mode} dtype={devices.dtype} args={load_args}')
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from pipelines import f_lite
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diffusers.FLitePipeline = f_lite.FLitePipeline
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sys.modules['f_lite'] = f_lite
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dit_model = generic.load_transformer(repo_id, cls_name=f_lite.DiT, load_config=diffusers_load_config, subfolder="dit_model")
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text_encoder = generic.load_text_encoder(repo_id, cls_name=transformers.T5EncoderModel, load_config=diffusers_load_config, subfolder="text_encoder")
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pipe = f_lite.FLitePipeline.from_pretrained(
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"Freepik/F-Lite", # pr only exists on main repo
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revision="refs/pr/8",
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dit_model=dit_model,
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text_encoder=text_encoder,
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trust_remote_code=True,
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cache_dir=shared.opts.diffusers_dir,
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**load_args,
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)
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del text_encoder
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del dit_model
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sd_hijack_te.init_hijack(pipe)
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devices.torch_gc()
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return pipe
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