mirror of
https://github.com/vladmandic/automatic
synced 2026-08-31 01:20:59 +02:00
Vladimir Mandic
25 lines
1.1 KiB
Python
25 lines
1.1 KiB
Python
import diffusers
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from modules.logger import log
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from modules import shared, devices, sd_models, model_quant
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from pipelines import generic
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def load_instaflow(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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log.debug(f'Load model: type=InstaFlow repo="{repo_id}" config={diffusers_load_config} offload={shared.opts.diffusers_offload_mode} dtype={devices.dtype} args={load_args}')
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if repo_id is None or repo_id.lower() == 'none':
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return None
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pipeline = diffusers.utils.get_class_from_dynamic_module('instaflow_one_step', module_file='pipeline.py')
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generic.set_pipeline('InstaFlow', pipeline)
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load_config = {**diffusers_load_config, **load_args}
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sd_model = pipeline.from_pretrained(checkpoint_info.path, cache_dir=shared.opts.diffusers_dir, **load_config)
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devices.torch_gc(force=True, reason='load')
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return sd_model
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