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sd-webui-modelscope-text2video
Discontinued Auto1111 extension consisting of implementation of text2video diffusion models (like ModelScope or VideoCrafter) using only Auto1111 webui dependencies [Moved to: https://github.com/deforum-art/sd-webui-text2video]
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diffusers
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
Meanwhile, if you have good training vids, it'd be nice to collect them somewhere for the future training, like inside the extension repo's Discussions https://github.com/deforum-art/sd-webui-modelscope-text2video/discussions
Diffusers have their own implementation of MS t2v coming soon https://github.com/huggingface/diffusers/pull/2738. Once it sinks it, simply speaking, one will just need to change Unet2D to Unet3D in Dreambooth script https://github.com/huggingface/diffusers/blob/main/examples/dreambooth/train_dreambooth.py and make it generate class videos instead of class images.