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22019fddeb |
@@ -1126,6 +1126,7 @@ For detailed information on training the diffusion prior, please refer to the [d
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- [x] add inpainting ability using resampler from repaint paper https://arxiv.org/abs/2201.09865
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- [x] add the final combination of upsample feature maps, used in unet squared, seems to have an effect in local experiments
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- [ ] consider elucidated dalle2 https://arxiv.org/abs/2206.00364
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- [ ] add simple outpainting, text-guided 2x size the image for starters
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- [ ] interface out the vqgan-vae so a pretrained one can be pulled off the shelf to validate latent diffusion + DALL-E2
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## Citations
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@@ -1070,7 +1070,7 @@ class DiffusionPriorNetwork(nn.Module):
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null_text_embeds = self.null_text_embeds.to(text_embed.dtype)
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text_embeds = torch.where(
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text_embed = torch.where(
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text_keep_mask,
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text_embed,
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null_text_embeds
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@@ -1 +1 @@
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__version__ = '1.10.3'
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__version__ = '1.10.4'
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