comfy-aimdo : AI Model Dynamic Offloader for ComfyUI ( https://github.com/Comfy-Org/comfy-aimdo )
comfy-kitchen : Fast Kernel Library for ComfyUI with multiple compute backends ( https://github.com/Comfy-Org/comfy-kitchen )
comfyui-embedded-docs : Embedded documentation for ComfyUI nodes ( https://github.com/Comfy-Org/ComfyUI )
comfyui-frontend-package : ComfyUI frontend static assets ( https://github.com/Comfy-Org/ComfyUI_frontend )
comfyui-workflow-templates : ComfyUI workflow templates ( https://github.com/Comfy-Org/ComfyUI )
comfyui-workflow-templates-core : Core helpers for ComfyUI workflow templates ( https://github.com/Comfy-Org/ComfyUI )
comfyui-workflow-templates-media-api : ComfyUI workflow templates for API media ( https://github.com/Comfy-Org/ComfyUI )
comfyui-workflow-templates-media-image : ComfyUI workflow templates for image media ( https://github.com/Comfy-Org/ComfyUI )
comfyui-workflow-templates-media-other : ComfyUI workflow templates for other media ( https://github.com/Comfy-Org/ComfyUI )
comfyui-workflow-templates-media-video : ComfyUI workflow templates for video media ( https://github.com/Comfy-Org/ComfyUI )
einops : Flexible and powerful tensor operations for readable and reliable code ( https://github.com/arogozhnikov/einops )
hf-xet : Hugging Face Xet client library for efficient file transfers ( https://github.com/huggingface/xet-core )
huggingface-hub : Client library for the Hugging Face Hub ( https://github.com/huggingface/huggingface_hub )
kornia : Differentiable computer vision library for PyTorch ( https://github.com/kornia/kornia )
kornia-rs : Low-level computer vision library in Rust with Python bindings ( https://github.com/kornia/kornia-rs )
lsp-devtools : Developer tools for working with Language Server Protocol (LSP) servers and clients ( https://github.com/swyddfa/lsp-devtools )
onnx-ir : ONNX IR - Python intermediate representation for ONNX ( https://github.com/onnx/ir-py )
onnxscript : ONNX Script - authoring ONNX functions and models using a Python subset ( https://github.com/microsoft/onnxscript )
python-nmcli : A python wrapper library for NetworkManager's nmcli command-line tool ( https://pypi.org/project/nmcli/ )
safetensors : Simple and safe way to store and distribute tensors ( https://github.com/huggingface/safetensors )
spandrel : PyTorch architecture support for AI Super-Resolution and restoration ( https://github.com/chaiNNer-org/spandrel )
stamina : Production-grade retries made easy ( https://github.com/hynek/stamina https://pypi.org/project/stamina/ )
tokenizers : Fast State-of-the-Art Tokenizers optimized for Research and Production ( https://github.com/huggingface/tokenizers )
torchsde : Differentiable SDE solvers with GPU support and efficient sensitivity analysis ( https://github.com/google-research/torchsde )
trampoline : Yield-based recursion for Python ( https://gitlab.com/ferreum/trampoline )
transformers : State-of-the-art Machine Learning for PyTorch, TensorFlow, and JAX ( https://github.com/huggingface/transformers )
tree-sitter : Python bindings to the Tree-sitter parsing library ( HOMEPAGE=" )
Pour rajouter une e-build dans l'arbre de portage :
L'ebuild est alors rajouté dans l'arbre de portage.
Vous pouvez aussi utiliser layman : emerge layman puis layman -a bennypowers
Pour Paludis utilisez ce rsync : rsync://gentoo.zugaina.org/bennypowers-portage
En cas de problèmes : ycarus(-at-)zugaina.org