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Given that official training code for Flux has not been released, how can you ensure that this training code is even remotely close to the official unreleased one? I recall someone at BFL saying that …
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Hi, very interesting work and nice presentation in paper. I'm interested in applying conditional flow matching to the tasks without paired training data. For example, many image restoration tasks do n…
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We currently have some documentation that will be part of the cookbook
- simple example of running the code
- config setup
- data dictionary
The final cookbook should be usable as a central do…
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# Lumina-T2X: Transforming Text into Any Modality, Resolution, and Duration via Flow-based Large Diffusion Transformers
> Sora unveils the potential of scaling Diffusion Transformer (DiT) for gener…
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Hi, when I tried to continue the training on the Conditional flow-matching on a new dataset (zh collected from youtube), I found that the loss degradee a lot but the generate audio is totally unintell…
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In the generation process of Cosy Voice a flow matching module is employed to convert Speech Tokens to Mel Spectrum
![image](https://github.com/user-attachments/assets/b18f3312-a348-4bc6-94ca-94d5d5c…
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## 論文タイトル(原文まま)
Matcha-TTS: A fast TTS architecture with conditional flow matching
## 一言でいうと
Matcha-TTSは、条件付きフローマッチングを使用した高速で高品質なテキスト読み上げ(TTS)モデルです。
### 論文リンク
[https://arxiv.org/abs/2309.0319…
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This issue is opened for users to suggest improvements for the Flow Matching tutorial notebook.
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Thanks very much for this code base, it's been a great way to learn about flow matching. I have a question regarding conditional generation with OT-CFM.
When testing different FM approaches on my o…
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I am getting a lot of help from this project. Thank you! I have one question. Is the method for generating samples(ex images) with models trained using the FM framework the same as that of basic CFM a…