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@lucidrains
I have the same issue with #54 . I have copied the training method in the readme, but I still got the noise output result. Can you see my code and check what is wrong with it?
https:/…
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https://github.com/lucidrains/DALLE2-pytorch/blob/main/train_diffusion_prior.py#L17 this function should compute a single averaged number and report it for the current training step
the current behav…
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Hi, I received similar issue to one reported in https://github.com/lucidrains/DALLE2-pytorch/issues/167
When running example training through rainbow_dalle notebook I managed to generate a dataset …
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I am implementing a single node training script for the decoder and it seems @lucidrains has implemented a wrapper script for this purpose that is already feature-full. Currently, the forward pass is …
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Initial training went well for the text-conditioned prior! 🚀
With the current text-conditioned script it is possible to hit ~32M data points in ~24 hours with ViT-L/14.
> For reference, this t…
nousr updated
2 years ago
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![issue](https://user-images.githubusercontent.com/38984606/169820565-180a04d3-4f88-4ff6-83df-07d03838a208.jpg)
Could you help me? I had run the **clip-retrieval** and then generate the embedding.npy…
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https://github.com/lucidrains/denoising-diffusion-pytorch/blob/master/denoising_diffusion_pytorch/learned_gaussian_diffusion.py not sure how significant the improvements will be, but it seems from the…
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Will borrowing the DALLE 2 decoder add significant improvements?
And thank you for such a great job!