CRM

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CRM

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Refactor background removal process in app.py to utilize rembg library, enhancing performance and simplifying the code. Update device handling to allow dynamic selection between CPU and CUDA, improving compatibility across different hardware configurations. Modify output format from OBJ to GLB for better integration with Gradio display.

9d0b3b4 about 1 month ago

configs
init over 1 year ago
examples
Re-added .webp images via Git LFS after history cleanup about 2 months ago
imagedream
Ensure input tensor is on the same device as model weights in FrozenOpenCLIPEmbedder. This change improves compatibility and performance by preventing device mismatch during image encoding. about 1 month ago
libs
Refactor device handling across multiple modules to enforce CUDA usage explicitly. This change ensures consistent device allocation for model operations, enhancing performance on systems with GPU support while maintaining compatibility. about 1 month ago
model
Refactor app.py and inference.py to streamline image generation and mesh export processes. Removed unnecessary CPU transfers and temporary file handling, directly returning generated GLB paths. Updated mesh export in CRM model to support vertex colors and improved overall efficiency in texture mapping. about 1 month ago
util
Refactor device handling across multiple modules to enforce CUDA usage explicitly. This change ensures consistent device allocation for model operations, enhancing performance on systems with GPU support while maintaining compatibility. about 1 month ago
.gitattributes

1.77 kB

Track .webp images with Git LFS about 2 months ago
.gitignore

2.7 kB

fix over 1 year ago
README.md

252 Bytes

Remove unnecessary launch parameters from app.py for simplicity and update README.md to reflect the new Gradio SDK version 4.21.0. about 2 months ago
app.py

8.52 kB

Refactor background removal process in app.py to utilize rembg library, enhancing performance and simplifying the code. Update device handling to allow dynamic selection between CPU and CUDA, improving compatibility across different hardware configurations. Modify output format from OBJ to GLB for better integration with Gradio display. about 1 month ago
inference.py

1.2 kB

Refactor background removal process in app.py to utilize rembg library, enhancing performance and simplifying the code. Update device handling to allow dynamic selection between CPU and CUDA, improving compatibility across different hardware configurations. Modify output format from OBJ to GLB for better integration with Gradio display. about 1 month ago
mesh.py

34.5 kB

Refactor gen_image function in app.py to return base64 encoded GLB data instead of a file path. Update mesh export in inference.py to return .obj file extension. Modify Mesh class to streamline GLB export and enhance texture handling, ensuring proper integration of vertex attributes. about 2 months ago
pipelines.py

6.67 kB

Refactor device handling across multiple modules to enforce CUDA usage explicitly. This change ensures consistent device allocation for model operations, enhancing performance on systems with GPU support while maintaining compatibility. about 1 month ago
requirements.txt

359 Bytes

Add functionality to download the DIS ONNX model if not found locally in app.py. Updated remove_background function to call new ensure_dis_onnx_model method for improved error handling. Added requests library to requirements.txt for HTTP requests. about 1 month ago