| # torch>=2.4.0 | |
| # torchvision>=0.19.0 | |
| opencv-python>=4.9.0.80,<4.12 | |
| diffusers==0.31.0 | |
| transformers>=4.49.0,<5 | |
| tokenizers>=0.20.3,<0.22 | |
| accelerate>=1.1.1 | |
| tqdm | |
| imageio | |
| easydict | |
| ftfy | |
| dashscope | |
| imageio-ffmpeg | |
| numpy==1.24.4 | |
| wandb | |
| omegaconf | |
| einops | |
| av==13.1.0 | |
| # opencv-python # covered by the pinned range above | |
| git+https://github.com/openai/CLIP.git | |
| open_clip_torch | |
| starlette | |
| pycocotools | |
| lmdb | |
| matplotlib | |
| sentencepiece | |
| pydantic==2.10.6 | |
| scikit-image | |
| huggingface_hub[cli]>=0.26.0,<1.0 | |
| dominate | |
| # Optional TensorRT VAE acceleration for demo.py --trt / demo_utils/vae_torch2trt.py. | |
| # Install these separately on a GPU node with CUDA/TensorRT available. | |
| # nvidia-pyindex | |
| # nvidia-tensorrt | |
| # pycuda | |
| onnx | |
| onnxruntime | |
| onnxscript | |
| onnxconverter_common | |
| flask | |
| flask-socketio | |
| torchao==0.11.0 | |