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fix(Pipeline.debug_latents): fix import for moved utility function
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@ -942,11 +942,10 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
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return super().decode_latents(latents)
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def debug_latents(self, latents, msg):
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from invokeai.backend.image_util import debug_image
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with torch.inference_mode():
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from ldm.util import debug_image
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decoded = self.numpy_to_pil(self.decode_latents(latents))
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for i, img in enumerate(decoded):
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debug_image(
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img, f"latents {msg} {i+1}/{len(decoded)}", debug_status=True
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)
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for i, img in enumerate(decoded):
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debug_image(
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img, f"latents {msg} {i+1}/{len(decoded)}", debug_status=True
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)
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