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, 576x320 res.

Note that they can look much better - I had to convert the mp4 outputs to gif for Civitai. We can also upscale these videos using the Zeroscope v2 XL txt2vid models, which I'm currently uploading!

Note: this model is the lighter version of the XL model (available here) which requires a lot more VRAM. If you have >15GB of VRAM, you should be using the XL version.

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?

https://huggingface.co/cerspense/zeroscope_v2_576w

What else do I need?

These models are specifically for use with the txt2video Auto1111 WebUI Extension