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custum_3d_diffusion/custum_pipeline/unifield_pipeline_img2mvimg.py
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@@ -204,7 +204,8 @@ class StableDiffusionImage2MVCustomPipeline(
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# batch_size = len(image)
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# else:
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# batch_size = image.shape[0]
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device = self._execution_device
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# here `guidance_scale` is defined analog to the guidance weight `w` of equation (2)
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# of the Imagen paper: https://arxiv.org/pdf/2205.11487.pdf . `guidance_scale = 1`
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# corresponds to doing no classifier free guidance.
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# batch_size = len(image)
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# else:
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# batch_size = image.shape[0]
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# device = self._execution_device
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device = "cuda"
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# here `guidance_scale` is defined analog to the guidance weight `w` of equation (2)
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# of the Imagen paper: https://arxiv.org/pdf/2205.11487.pdf . `guidance_scale = 1`
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# corresponds to doing no classifier free guidance.
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