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Verified signatureFix: Handle missing or empty 'layers' field in person_image - Added validation to check if 'layers' exist and are non-empty before accessing the first layer in the submit function. - If 'layers' are missing or empty, set the mask to None and auto-generate it using the AutoMasker. - Ensured smooth fallback for cases where no manual mask is provided by automatically creating a mask. - Enhanced stability by preventing 'IndexError' and ensuring graceful handling of input images without layers. This commit improves error handling and ensures more robust functionality for generating virtual try-on results.5df167a
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chore: Update default base model path in app.py
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chore: Update default base model path in app.py
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chore: Update app.py to improve demo instructions and links
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chore: Update app.py to improve demo instructions and links
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feat: Add GPU duration parameter to submit_function
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chore: Update app.py to fix torch.jit.script assignment
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chore: Remove detectron2 submodule
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chore: Update requirements.txt to remove inplace-abn dependency
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chore: Update SCHP model checkpoint loading logic
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chore: Set CUDA environment variables in app.py
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chore: Update README.md
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chore: Update dependencies and code structure
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chore: Update playground.py to save the result image after masking
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chore: Add detectron2 and DensePose dependencies to requirements.txt
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chore: Update torch and torchvision versions in requirements.txt
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chore: Update segformer_ckpt in app.py to use mattmdjaga/segformer_b2_clothes
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chore: Remove unused files and dependencies
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chore: Update requirements.txt with latest dependencies
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chore: Update torch and torchvision versions in requirements.txt
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chore: Update pytorch and torchvision versions in requirements.txt
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chore: Update ninja version to 1.11.1 in requirements.txt
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chore: Update app.py to set CUDA_HOME environment variable and add CUDA bin directory to PATH
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chore: Update ninja version to 1.11.1 in requirements.txt
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