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Update model/cloth_masker.py
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Update model/cloth_masker.py
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Update requirements.txt
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Update model/cloth_masker.py
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Update model/pipeline.py
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Update model/flux/pipeline_flux_tryon.py
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feat: Add width and height parameters to submit_function_flux for enhanced image processing
- Introduced `width` and `height` parameters in the `submit_function_flux` function, allowing users to specify the dimensions of the output images. This change improves flexibility in image processing and enhances user control over the generated results.c35ec9e -
refactor: Simplify output handling in submit_function_flux by removing return_dict
- Removed the `return_dict` parameter from the `submit_function_flux` function, streamlining the output to directly return the first image from the results. This change enhances code clarity and reduces complexity in the function's return value management.f97271b -
feat: Add return_dict parameter to submit_function_flux for enhanced output control
- Introduced the `return_dict` parameter in the `submit_function_flux` function, allowing users to specify the output format of the function's results. This change improves flexibility in handling the function's return values.f86262e
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refactor: Rename mask parameter to mask_image in submit_function_flux
- Updated the parameter name from `mask` to `mask_image` in the `submit_function_flux` function for improved clarity and consistency in the codebase.d63caf4 -
refactor: Remove resolution parameters and update guidance scale in app.py
- Eliminated the resolution parameter from the submit_function_flux, simplifying the function signature. - Adjusted the guidance scale slider's maximum value from 7.5 to 50, enhancing user control over the model's behavior. - Updated the UI layout for result image display, ensuring consistency in the application interface.7f24de3 -
feat: Implement mask-based and Flux.1 fill development tab in app.py
- Added a new tab for mask-based and Flux.1 fill development, allowing users to upload person and condition images for virtual try-on. - Introduced advanced options including inference steps, guidance scale, and random seed settings. - Enhanced user experience with example images for both person and condition inputs. - Updated the UI layout to improve accessibility and interaction for users.0ed20b9 -
fix: Update attention checkpoint version in CatVTON pipeline
- Changed the attention checkpoint version from "mix" to "mix-48k-1024" in app.py to improve model performance and ensure compatibility with the latest updates.6025240 -
feat: Add authentication token support for Flux and CatVTON pipelines in app.py
- Integrated the use of an authentication token for accessing Hugging Face models in the FluxTryOnPipeline and CatVTONPix2PixPipeline. - Updated the model loading functions to include `use_auth_token` parameter, enhancing security and access control for model repositories.bde7aa3 -
fix: Update attention checkpoint path in app.py for CatVTON pipeline
- Changed the attention checkpoint path from the previous repository to the MaskFree version for improved model performance. - Updated the attention checkpoint version to a more general reference, enhancing compatibility with future updates.673064b -
feat: Add new argument for p2p base model path in app.py
- Introduced a new command-line argument `--p2p_base_model_path` to specify the path to the base model for evaluation, defaulting to "timbrooks/instruct-pix2pix". This enhancement allows for greater flexibility in model selection during runtime.26c80cc -
chore: Upgrade PyTorch and torchvision versions in requirements.txt
- Updated PyTorch from 2.2.1 to 2.4.0 and torchvision from 0.17.1 to 0.19.0 to leverage new features and improvements while ensuring compatibility with other dependencies.32663b3 -
chore: Downgrade PyTorch and torchvision versions in requirements.txt
- Changed PyTorch from 2.5.1 to 2.2.1 and torchvision from 0.20.1 to 0.17.1 to align with project requirements and compatibility.c92cb1e -
chore: Update PyTorch and torchvision versions in requirements.txt
- Upgraded torch from 2.1.2 to 2.5.1 and torchvision from 0.16.2 to 0.20.1 to ensure compatibility with new features and improvements.6bb7e30 -
chore: Update requirements.txt to reflect new dependency versions
- Removed old version of huggingface_hub and updated to 0.25.0. - Ensured compatibility with existing packages by maintaining peft version.9413492 -
feat: Enhance CatVTON functionality with new pipelines and UI improvements
- Added CatVTONPix2PixPipeline and FluxTryOnPipeline to support additional virtual try-on methods. - Implemented new submit functions for mask-free and Flux-based try-on. - Updated UI to include separate tabs for mask-based and mask-free options, enhancing user experience. - Modified requirements.txt to include new dependencies and updated existing ones. - Improved error handling and image processing in the submission functions.905c952
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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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Update app.py
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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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