mirror of https://github.com/vladmandic/automatic
29 lines
1001 B
Python
29 lines
1001 B
Python
import torch
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import diffusers
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from modules import shared, devices, sd_models, sd_hijack_te
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from modules.logger import log
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def load_kolors(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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diffusers_load_config['variant'] = "fp16"
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if 'torch_dtype' not in diffusers_load_config:
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diffusers_load_config['torch_dtype'] = torch.float16
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log.debug(f'Load model: type=Kolors repo="{repo_id}" config={diffusers_load_config} offload={shared.opts.diffusers_offload_mode} dtype={devices.dtype} args={diffusers_load_config}')
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pipe = diffusers.KolorsPipeline.from_pretrained(
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repo_id,
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cache_dir = shared.opts.diffusers_dir,
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**diffusers_load_config,
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)
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pipe.vae.config.force_upcast = True
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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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