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Fix dtype mismatch with vae decode

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Disty0
2024-02-12 05:15:17 +03:00
parent a675347287
commit baf42fbc0a
1 changed files with 1 additions and 1 deletions
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modules/processing_vae.py
+1 -1
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@@ -44,8 +44,8 @@ def full_vae_decode(latents, model):
upcast = (model.vae.dtype == torch.float16) and getattr(model.vae.config, 'force_upcast', False) and hasattr(model, 'upcast_vae')
if upcast: # this is done by diffusers automatically if output_type != 'latent'
model.upcast_vae()
latents = latents.to(next(iter(model.vae.post_quant_conv.parameters())).dtype)
latents = latents.to(next(iter(model.vae.post_quant_conv.parameters())).dtype)
decoded = model.vae.decode(latents / model.vae.config.scaling_factor, return_dict=False)[0]
# Delete PyTorch VAE after OpenVINO compile