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@ -24,13 +24,6 @@ class Kandinsky(DiffusionInpaintModel):
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"torch_dtype": torch_dtype,
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"torch_dtype": torch_dtype,
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}
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}
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# self.pipe_prior = KandinskyPriorPipeline.from_pretrained(
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# self.prior_name, **model_kwargs
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# ).to("cpu")
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#
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# self.model = KandinskyInpaintPipeline.from_pretrained(
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# self.model_name, **model_kwargs
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# ).to(device)
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self.model = AutoPipelineForInpainting.from_pretrained(
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self.model = AutoPipelineForInpainting.from_pretrained(
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self.model_name, **model_kwargs
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self.model_name, **model_kwargs
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).to(device)
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).to(device)
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@ -54,6 +47,7 @@ class Kandinsky(DiffusionInpaintModel):
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mask = mask.astype(np.float32) / 255
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mask = mask.astype(np.float32) / 255
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img_h, img_w = image.shape[:2]
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img_h, img_w = image.shape[:2]
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# kandinsky 没有 strength
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output = self.model(
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output = self.model(
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prompt=config.prompt,
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prompt=config.prompt,
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negative_prompt=config.negative_prompt,
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negative_prompt=config.negative_prompt,
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@ -65,6 +59,7 @@ class Kandinsky(DiffusionInpaintModel):
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guidance_scale=config.sd_guidance_scale,
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guidance_scale=config.sd_guidance_scale,
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output_type="np",
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output_type="np",
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callback=self.callback,
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callback=self.callback,
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generator=generator,
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).images[0]
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).images[0]
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output = (output * 255).round().astype("uint8")
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output = (output * 255).round().astype("uint8")
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