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Update app.py
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app.py
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@@ -6,13 +6,13 @@ from app_canny import create_demo as create_demo_canny
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from app_depth import create_demo as create_demo_depth
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import os
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hf_hub_download(repo_id='wondervictor/ControlAR',
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hf_hub_download(repo_id='wondervictor/ControlAR',
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# hf_hub_download('google/flan-t5-xl', cache_dir='./checkpoints/')
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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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SHOW_DUPLICATE_BUTTON = os.getenv("SHOW_DUPLICATE_BUTTON") == "1"
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from app_depth import create_demo as create_demo_depth
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import os
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# hf_hub_download(repo_id='wondervictor/ControlAR',
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# filename='canny_MR.safetensors',
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# local_dir='./checkpoints/')
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# hf_hub_download(repo_id='wondervictor/ControlAR',
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# filename='depth_MR.safetensors',
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# local_dir='./checkpoints/')
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# # hf_hub_download('google/flan-t5-xl', cache_dir='./checkpoints/')
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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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SHOW_DUPLICATE_BUTTON = os.getenv("SHOW_DUPLICATE_BUTTON") == "1"
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