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restore ability to convert SDXL checkpoints to diffusers

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This commit is contained in:
Lincoln Stein 2023-07-26 23:28:58 -04:00
parent d4d4d749f2
commit 77946bfea5
2 changed files with 2 additions and 5 deletions
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4
invokeai/backend/model_management/models/sdxl.py
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@ -112,16 +112,12 @@ class StableDiffusionXLModel(DiffusersModel):
# The convert script adapted from the diffusers package uses
# strings for the base model type. To avoid making too many
# source code changes, we simply translate here
model_base_to_model_type = {BaseModelType.StableDiffusionXL: 'SDXL',
BaseModelType.StableDiffusionXLRefiner: 'SDXL-Refiner',
}
if isinstance(config, cls.CheckpointConfig):
from invokeai.backend.model_management.models.stable_diffusion import _convert_ckpt_and_cache
return _convert_ckpt_and_cache(
version=base_model,
model_config=config,
output_path=output_path,
model_type=model_base_to_model_type[base_model],
use_safetensors=False, # corrupts sdxl models for some reason
)
else:

3
invokeai/backend/model_management/models/stable_diffusion.py
View File

@ -272,8 +272,9 @@ def _convert_ckpt_and_cache(
model_base_to_model_type = {BaseModelType.StableDiffusion1: 'FrozenCLIPEmbedder',
BaseModelType.StableDiffusion2: 'FrozenOpenCLIPEmbedder',
BaseModelType.StableDiffusionXL: 'SDXL',
BaseModelType.StableDiffusionXLRefiner: 'SDXL-Refiner',
}
logger.info(f'Converting {weights} to diffusers format')
with SilenceWarnings():
convert_ckpt_to_diffusers(