# Diffusion text-to-text models

**URL:** <https://discuss.huggingface.co/t/diffusion-text-to-text-models/43325>\
**Category:** 🧨 Diffusers\
**Created:** [June 15, 2023, 6:49am UTC](https://discuss.huggingface.co/t/diffusion-text-to-text-models/43325 "2023-06-15T06:49:23Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![h4gen](https://avatars.discourse-cdn.com/v4/letter/h/e8c25b/32.png) [@h4gen](https://discuss.huggingface.co/u/h4gen)\
**Post date:** [June 15, 2023, 6:49am UTC](https://discuss.huggingface.co/t/diffusion-text-to-text-models/43325/1 "2023-06-15T06:49:23Z")

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Hi everyone 👋

I noticed that there is a lot going on the last year in the NLP/diffusion models space like DiffuSeq, TESS, or Diffusion-LM. Is there someone in the Diffusers Community already experimenting with these models and can give me a hint to get started? Are there even plans to incorporate text-to-text models into Diffusers? I find the topic and the advantages of diffusion models with respect to text rather fascinating and would love to dive deeper, but I do not have the time and resources to start from completely from scratch by reproducing the stuff from the original papers/authors. Any response/input would be highly appreciated.

Thanks!