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Update app.py
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app.py
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@@ -46,9 +46,9 @@ hf_hub_download(repo_id="lllyasviel/Annotators", filename="dpt_hybrid-midas-501f
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hf_hub_download(repo_id="wondervictor/ControlAR", filename="canny_MR.safetensors", local_dir=ckpt_folder)
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hf_hub_download(repo_id="wondervictor/ControlAR", filename="depth_MR.safetensors", local_dir=ckpt_folder)
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DESCRIPTION = "# [ControlAR: Controllable Image Generation with Autoregressive Models](https://arxiv.org/abs/2410.02705) \n ### The first row in outputs is the input image and condition. The second row is the images generated by ControlAR. \n ### You can run locally by following the instruction on our [Github Repo](https://github.com/hustvl/ControlAR)."
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hf_hub_download(repo_id="wondervictor/ControlAR", filename="canny_MR.safetensors", local_dir=ckpt_folder)
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hf_hub_download(repo_id="wondervictor/ControlAR", filename="depth_MR.safetensors", local_dir=ckpt_folder)
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hf_hub_download(repo_id="facebook/dinov2-small", filename="config.json", local_dir=dinov2_folder)
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hf_hub_download(repo_id="facebook/dinov2-small", filename="preprocessor_config.json", local_dir=dinov2_folder)
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hf_hub_download(repo_id="facebook/dinov2-small", filename="pytorch_model.bin", local_dir=dinov2_folder)
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DESCRIPTION = "# [ControlAR: Controllable Image Generation with Autoregressive Models](https://arxiv.org/abs/2410.02705) \n ### The first row in outputs is the input image and condition. The second row is the images generated by ControlAR. \n ### You can run locally by following the instruction on our [Github Repo](https://github.com/hustvl/ControlAR)."
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