Next frame prediction with ControlNet

This page summarizes the projects mentioned and recommended in the original post on /r/StableDiffusion

InfluxDB - Power Real-Time Data Analytics at Scale
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  • ControlNet

    Let us control diffusion models!

  • It seems like a reasonable step forward to train control net to predict next frame from previous one. That should eliminate all major issues with video stabilisation and allow at least some way to do text2video generation. The training procedure is also well described in the ControlNet repository: https://github.com/lllyasviel/ControlNet/blob/main/docs/train.md . But the fact that it wasn't done yet buggles me a lot. There must be a reason nobody done it yet. Has anybody tried to train ControlNet? Is there any merit to this approach?

  • RVD

    Diffusion Probabilistic Modeling for Video Generation

  • Some resources I found: rvd, Next_Frame_Prediction, Next-Frame-Prediction

  • 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.

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  • Next_Frame_Prediction

    Predicts the next frame of a series of gifs.

  • Some resources I found: rvd, Next_Frame_Prediction, Next-Frame-Prediction

  • Next-Frame-Prediction

  • Some resources I found: rvd, Next_Frame_Prediction, Next-Frame-Prediction

  • latentblending

    Create butter-smooth transitions between prompts, powered by stable diffusion

  • latent blending: https://github.com/lunarring/latentblending This one has a lot of potential, since it can be used to transition from one prompt to the next. It interpolates between the prompst and also the image latents themselves.

  • SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

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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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