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bugfix: updated scaling factor for SDXL #300

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bugfix: updated scaling factor for SDXL #300

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9 changes: 8 additions & 1 deletion python_coreml_stable_diffusion/pipeline.py
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Original file line number Diff line number Diff line change
Expand Up @@ -311,7 +311,14 @@ def run_safety_checker(self, image):
return image, has_nsfw_concept

def decode_latents(self, latents):
latents = 1 / 0.18215 * latents

if self.xl:
scaling_factor =0.13025
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Suggested change
scaling_factor =0.13025
scaling_factor = 0.13025

else:
scaling_factor = 0.18215

latents = 1 / scaling_factor * latents

dtype = self.vae_decoder.expected_inputs['z']['dtype']
image = self.vae_decoder(z=latents.astype(dtype))["image"]
image = np.clip(image / 2 + 0.5, 0, 1)
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