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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.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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?
Some resources I found: rvd, Next_Frame_Prediction, Next-Frame-Prediction
Some resources I found: rvd, Next_Frame_Prediction, Next-Frame-Prediction
Some resources I found: rvd, Next_Frame_Prediction, Next-Frame-Prediction
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.
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