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todo
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@@ -415,6 +415,7 @@ Offer training wrappers
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- [ ] build out latent diffusion architecture, make it completely optional (additional autoencoder + some regularizations [kl and vq regs]) (figure out if latent diffusion + cascading ddpm can be used in conjunction)
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- [ ] Extend diffusion head to use diffusion-gan (potentially using lightweight-gan) to speed up inference
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- [ ] become an expert with unets, cleanup unet code, make it fully configurable, port all learnings over to https://github.com/lucidrains/x-unet
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- [ ] copy the cascading ddpm code to a separate repo (perhaps https://github.com/lucidrains/denoising-diffusion-pytorch) as the main contribution of dalle2 really is just the prior network
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- [ ] train on a toy task, offer in colab
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## Citations
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