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@@ -73,7 +73,7 @@ with the FLUX.1-Fill-dev as the base model.
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  A model trained with the `resolution` of 384 is released at [Full Model Card 384](https://huggingface.co/VisualCloze/VisualClozePipeline-384) and [LoRA Model Card 384](https://huggingface.co/VisualCloze/VisualClozePipeline-LoRA-384),
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  while this model uses the `resolution` of 512. The `resolution` means that each image will be resized to it before being
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- concatenated to avoid the out-of-memory error. To generate high-resolution images, we use the [SDEdit](https://arxiv.org/abs/2108.01073) technology for upsampling the generated results.
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  #### Example with Depth-to-Image:
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  A model trained with the `resolution` of 384 is released at [Full Model Card 384](https://huggingface.co/VisualCloze/VisualClozePipeline-384) and [LoRA Model Card 384](https://huggingface.co/VisualCloze/VisualClozePipeline-LoRA-384),
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  while this model uses the `resolution` of 512. The `resolution` means that each image will be resized to it before being
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+ concatenated to avoid the out-of-memory error. To generate high-resolution images, we use the SDEdit technology for upsampling the generated results.
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  #### Example with Depth-to-Image:
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