Auto1111 text2video Major Update! Animate pictures and loop videos with inpainting keyframes. 125 frames (8 secs) video now takes only 12gbs of VRAM thanks to torch2 optimization. WebAPI is released, no delay between runs! (ModelScope)

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  • sd-webui-text2video

    Auto1111 extension implementing text2video diffusion models (like ModelScope or VideoCrafter) using only Auto1111 webui dependencies

    Install Auto1111 or its newer fork, go to its 'Extensions' tab, select sd-webui-text2video and click 'Install' (or clone from here and put it in your 'extensions' folder in the webui's root directory), then click 'Apply changes and restart the UI'. After that the 'txt2video' tab should appear with the rest of the instructions in its 'How to get help?' tab (where to download the weights, where to put them, etc)

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  • stable-diffusion-webui

    Stable Diffusion web UI

    Install Auto1111 or its newer fork, go to its 'Extensions' tab, select sd-webui-text2video and click 'Install' (or clone from here and put it in your 'extensions' folder in the webui's root directory), then click 'Apply changes and restart the UI'. After that the 'txt2video' tab should appear with the rest of the instructions in its 'How to get help?' tab (where to download the weights, where to put them, etc)

  • automatic

    SD.Next: Advanced Implementation of Stable Diffusion and other Diffusion-based generative image models

    Install Auto1111 or its newer fork, go to its 'Extensions' tab, select sd-webui-text2video and click 'Install' (or clone from here and put it in your 'extensions' folder in the webui's root directory), then click 'Apply changes and restart the UI'. After that the 'txt2video' tab should appear with the rest of the instructions in its 'How to get help?' tab (where to download the weights, where to put them, etc)

  • Text-To-Video-Finetuning

    Discontinued Finetune ModelScope's Text To Video model using Diffusers 🧨

    Yes, there's a Diffusers based repo https://github.com/ExponentialML/Text-To-Video-Finetuning.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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