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The current implementation of the dy and smea methods only applies once or twice at an early step. As-is, these resampling methods produce a lot of noise that the sampler can't denoise, if at all.
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Would love to know how the training data was created for this model. This looks and works like a T2V model but curious as to how the layers/timesteps were curated for the training.
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URL: [http://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC4262543](http://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC4262543)
This paper is about / shows that:
# Intro
* Motion correct…
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Prompt interpolation currently uses embeddings to calculate values in-between control points. I'm not sure whether this is the right way to interpolate prompts, or if we should instead work in latent …
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So first off, thanks for this amazing work!
I noticed that inputting a multilayer exr will output a multilayer EXR with some of the same channels (names are the same, but not all channels are there…
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### Is there an existing issue for this?
- [X] I have searched the existing issues
### Issue Description
I propose the following documentation changes for the recent enhancements in OCR fine-tuning…
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Post your questions here about: “Image Learning” & “Audio and Video Learning”, Thinking with Deep Learning, Chapters 13 & 14.
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Originally reported on Google Code with ID 2677
```
https://imgur.com/OMo4Q5q
In the image above you may see dark strokes on the image which are 1px wide and up
to 5px long. There are no similar lig…
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**What Docs changes are you proposing?**
I propose the following documentation changes for the recent enhancements in OCR fine-tuning. Firstly, corrections and clarifications are needed to fix typogr…
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@xinntao Sorry for creating a new issue, but it is completely different topic I want to address now.
I am not sure if you are aware or not, but during last 2-3 month your ESRGAN / BasicSR projects …