ComfyUI-StreamingT2V
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)
workflow
Test prompt travel cyclist Workflow
Open the Auto Queue option, Stop it when you want to.
More Workflow
Step 1 (It's not necessary.) Generate short video (16x256x256):
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
Step 2 Generate long video (nx256x256):
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
Step 3 Generate long enhanced video (nx512x512):
https://github.com/chaojie/ComfyUI_StreamingT2V/blob/main/workflow/wf_enhance.json
You can generate all by one workflow (MORE VRAM)
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