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fix diffusers vae decode

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Vladimir Mandic
2023-07-24 09:05:00 -04:00
parent 7bbab3c9a9
commit 11f08c1a4a
1 changed files with 1 additions and 1 deletions
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modules/processing_diffusers.py
+1 -1
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@@ -18,7 +18,7 @@ def process_diffusers(p: StableDiffusionProcessing, seeds, prompts, negative_pro
shared.state.current_latent = latents
def vae_decode(latents, model, output_type='np'):
if hasattr(model, 'vae' and isinstance(latents, torch.Tensor)):
if hasattr(model, 'vae') and torch.is_tensor(latents):
shared.log.debug(f'Diffusers VAE decode: name={model.vae.config.get("_name_or_path", "default")} upcast={model.vae.config.get("force_upcast", None)}')
decoded = model.vae.decode(latents / model.vae.config.scaling_factor, return_dict=False)[0]
imgs = model.image_processor.postprocess(decoded, output_type=output_type)