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Allow return pt x4 #3236

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Merged
merged 2 commits into from
Apr 26, 2023
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Allow return pt x4 #3236

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patrickvonplaten Apr 26, 2023
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patrickvonplaten Apr 26, 2023
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15 changes: 10 additions & 5 deletions src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_upscale.py
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Original file line number Diff line number Diff line change
Expand Up @@ -697,25 +697,30 @@ def __call__(
# 10. Post-processing
# make sure the VAE is in float32 mode, as it overflows in float16
self.vae.to(dtype=torch.float32)
image = self.decode_latents(latents.float())

# Offload last model to CPU
if hasattr(self, "final_offload_hook") and self.final_offload_hook is not None:
self.final_offload_hook.offload()

# 11. Convert to PIL
# has_nsfw_concept = False
if output_type == "pil":
image = self.decode_latents(latents.float())
image, has_nsfw_concept, _ = self.run_safety_checker(image, device, prompt_embeds.dtype)

image = self.numpy_to_pil(image)

# 11. Apply watermark
if self.watermarker is not None:
image = self.watermarker.apply_watermark(image)
elif output_type == "pt":
latents = 1 / self.vae.config.scaling_factor * latents.float()
image = self.vae.decode(latents).sample
has_nsfw_concept = None
else:
image = self.decode_latents(latents.float())
has_nsfw_concept = None

# Offload last model to CPU
if hasattr(self, "final_offload_hook") and self.final_offload_hook is not None:
self.final_offload_hook.offload()

if not return_dict:
return (image, has_nsfw_concept)

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