IPython accelerate bitsandbytes transformers albumentations av boto3 decord einops gdown huggingface-hub omegaconf pandas pytorch-lightning scikit-image scikit-learn scipy seaborn tqdm xformers open-clip-torch jsonargparse[signatures]>=4.26.1 fairscale rotary-embedding-torch easydict torchsde imageio[ffmpeg] addict yapf gast simplejson sortedcontainers oss2 datasets diffusers raft ffmpeg rich clip @ git+https://github.com/openai/CLIP.git@a1d071733d7111c9c014f024669f959182114e33 pibble












Painebenjamin created the VidXTend model, which reduces the size from the original 25.6GB to 5GB. When using the VidXTend process, there is no need to manually download the model, as it will be downloaded automatically.
If you use the original model, please download the StreamingT2V model and place it in folder ComfyUI/model/checkpoints
VidXTend (<10G VRAM) | Original (<15G VRAM)
Test prompt travel cyclist Workflow
Open the Auto Queue option, Stop it when you want to.
You can freely generate a 16x256x256 video without using the process below. You can even use videos downloaded from the internet.
AnimateDiff Option: https://github.com/chaojie/ComfyUI_StreamingT2V/blob/main/workflow/wf_short_ad.json
Modelscope Option: https://github.com/chaojie/ComfyUI_StreamingT2V/blob/main/workflow/wf_short_ms.json
SVD Option: https://github.com/chaojie/ComfyUI_StreamingT2V/blob/main/workflow/wf_short_svd.json
VidXTend Option: https://github.com/chaojie/ComfyUI_StreamingT2V/blob/main/workflow/wf_VidXTend.json
Original Option: https://github.com/chaojie/ComfyUI_StreamingT2V/blob/main/workflow/wf_long.json
https://github.com/chaojie/ComfyUI_StreamingT2V/blob/main/workflow/wf_enhance.json
ModelscopeT2V (T2V)
https://github.com/chaojie/ComfyUI_StreamingT2V/blob/main/workflow/wf.json
AnimateDiff (T2V)
https://github.com/chaojie/ComfyUI_StreamingT2V/blob/main/workflow/wf_ad.json
SVD (I2V)
https://github.com/chaojie/ComfyUI_StreamingT2V/blob/main/workflow/wf_svd.json