Loading
Have a ComfyUI workflow? Get a readable Workflow Doc in your browser.Make a workflow readable.Try it now ↗
Stop! These models are not for txt2img inference!
Model source
Source description
Stop! These models are not for txt2img inference!
Don't put them in your stable-diffusion-webui/models directory and expect to make images!
So what are these?
These are new Modelscope based models for txt2video, optimized to produce 16:9 video compositions. They've been trained on 9,923 video clips and 29,769 tagged frames at 24 fps, 1024x576 res.
Note that these are the bigger brothers to the https://civitai.com/models/96454/zeroscope-v2-576w-txt2video models. The XL models use 15.3GB of VRAM when rendering 30 fps at 1024x576.
Sources
1 sourceModel artifacts
2 artifactsSource excerpts
2 excerptsSource context: 1060 downloads · Type Other · Base model SD 1.5
Where do they go?
Drop them in the \stable-diffusion-webui\models\ModelScope\t2v folder
It's imperative you rename the text2video_pytorch_ model.pt to .pth extension after downloading.
The files must be named open_clip_pytorch_model.bin , and text2video_pytorch_model.pth
Who made them? Original Source?
What else do I need?
These models are specifically for use with the txt2video Auto1111 WebUI Extension
Source context: 1049 downloads · Type Other · Base model SD 1.5
