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Stable Cascade don't load unused models

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Disty0
2024-05-26 16:40:47 +03:00
parent be264d14d6
commit 7635ea651c
1 changed files with 10 additions and 7 deletions
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modules/sd_cascade.py
+10 -7
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@@ -89,9 +89,9 @@ def load_cascade_combined(checkpoint_info, diffusers_load_config):
if 'stabilityai' in checkpoint_info.name:
decoder_unet = StableCascadeUNet.from_pretrained("stabilityai/stable-cascade", subfolder=decoder_folder, cache_dir=shared.opts.diffusers_dir, **diffusers_load_config)
decoder = StableCascadeDecoderPipeline.from_pretrained("stabilityai/stable-cascade", cache_dir=shared.opts.diffusers_dir, decoder=decoder_unet, **diffusers_load_config)
decoder = StableCascadeDecoderPipeline.from_pretrained("stabilityai/stable-cascade", cache_dir=shared.opts.diffusers_dir, decoder=decoder_unet, text_encoder=None, **diffusers_load_config)
else:
decoder = StableCascadeDecoderPipeline.from_pretrained(checkpoint_info.path, cache_dir=shared.opts.diffusers_dir, **diffusers_load_config)
decoder = StableCascadeDecoderPipeline.from_pretrained(checkpoint_info.path, cache_dir=shared.opts.diffusers_dir, text_encoder=None, **diffusers_load_config)
shared.log.debug(f'StableCascade {decoder_folder}: scale={decoder.latent_dim_scale}')
@@ -102,15 +102,15 @@ def load_cascade_combined(checkpoint_info, diffusers_load_config):
prior_unet = StableCascadeUNet.from_pretrained("stabilityai/stable-cascade-prior", subfolder=prior_folder, cache_dir=shared.opts.diffusers_dir, **diffusers_load_config)
if prior_text_encoder is not None:
prior = StableCascadePriorPipeline.from_pretrained("stabilityai/stable-cascade-prior", cache_dir=shared.opts.diffusers_dir, prior=prior_unet, text_encoder=prior_text_encoder, **diffusers_load_config)
prior = StableCascadePriorPipeline.from_pretrained("stabilityai/stable-cascade-prior", cache_dir=shared.opts.diffusers_dir, prior=prior_unet, text_encoder=prior_text_encoder, image_encoder=None, feature_extractor=None, **diffusers_load_config)
else:
prior = StableCascadePriorPipeline.from_pretrained("stabilityai/stable-cascade-prior", cache_dir=shared.opts.diffusers_dir, prior=prior_unet, **diffusers_load_config)
prior = StableCascadePriorPipeline.from_pretrained("stabilityai/stable-cascade-prior", cache_dir=shared.opts.diffusers_dir, prior=prior_unet, image_encoder=None, feature_extractor=None, **diffusers_load_config)
shared.log.debug(f'StableCascade {prior_folder}: scale={prior.resolution_multiple}')
sd_model = StableCascadeCombinedPipeline(
tokenizer=decoder.tokenizer,
text_encoder=decoder.text_encoder,
text_encoder=None,
decoder=decoder.decoder,
scheduler=decoder.scheduler,
vqgan=decoder.vqgan,
@@ -118,11 +118,14 @@ def load_cascade_combined(checkpoint_info, diffusers_load_config):
prior_text_encoder=prior.text_encoder,
prior_tokenizer=prior.tokenizer,
prior_scheduler=prior.scheduler,
prior_feature_extractor=prior.feature_extractor,
prior_image_encoder=prior.image_encoder)
prior_feature_extractor=None,
prior_image_encoder=None)
else:
sd_model = StableCascadeCombinedPipeline.from_pretrained(checkpoint_info.path, cache_dir=shared.opts.diffusers_dir, **diffusers_load_config)
sd_model.decoder_pipe.text_encoder = sd_model.text_encoder = None # Nothing uses the decoder's text encoder
sd_model.prior_pipe.image_encoder = sd_model.prior_image_encoder = None # No img2img is implemented yet
sd_model.prior_pipe.feature_extractor = sd_model.prior_feature_extractor = None # No img2img is implemented yet
shared.log.debug(f'StableCascade combined: {sd_model.__class__.__name__}')
return sd_model