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Home Page: https://a-r-r-o-w.github.io/stablefused/
License: MIT License
StableFused is a toy library for experimenting with Diffusion Models, inspired by various sources.
Home Page: https://a-r-r-o-w.github.io/stablefused/
License: MIT License
Latent Walk does not support batching which makes it use a lot of memory for the diffusion and decoding phases.
It would help to have some sort of batching that helps reduce memory usage when number of interpolation steps is high. The decode_batch_size
parameter in text_to_video_diffusion.py might be useful to look at.
The new change to intake inference parameters as class instances for various diffusion pipelines breaks all the examples/
. To fix it, for example in TextToImageDiffusion example, you have to pass parameters not as keyword arguments but as a TextToImageConfig
object.
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