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What GPUs and how many of them are used for training/inference?
What is the total training and inference time?
Thanks
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@srikarym I'm trying to replicate the results provided in your paper using this codebase. However, when running your code, I obtain the following loss plots as shown in weights and biases:
As y…
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First of all, congratulations for the work, I believe that this network has a much higher zero-shot learning potential than the diffusion based ones.
Now the question, what would it take to general…
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Traceback (most recent call last):
File "/data/latent-diffusion-main/main.py", line 732, in
trainer.fit(model, data)
File "/data/latent-diffusion-main/venv/lib/python3.7/site-packages/pyto…
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Hey, thanks for this helpful repo and I have starred it. But I have some questions which are not clear in README.md:
1.How can I use pre-trained autoencoder model? I didn't see where to combine the d…
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## 論文タイトル(原文まま)
Manifold-Preserving Guidance for Diffusion Models
## 一言でいうと
多様体仮説を用いたガイダンスを拡散モデルに適用し、高品質かつ効率的な条件付き生成を実現する手法。
### 論文リンク
[arXiv:2311.16424](https://arxiv.org/abs/2311.16424)
…
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From the method mentioned in the paper, if the output resolution are huge, such as 1024x2048, the actually generation time would be much more large than diffusion model.
So, in large image generati…
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微博内容精选
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curious about the vq-diffusion code, would you mind release the part of it
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Hi, it seems to me not trivial to implement the mixed bilinear form :
\partial_x u \partial_x v + \partial_y u \partial_y v - \partial_z u \partial_z v
I am trying to make this new bilinear f…