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DanTagGen is a project related to the research/engineering problem about utilizing LLM to help user to create the prompt that the t2i model will prefer.
Since based on the recent works like NAI or SD3, they showed that formated/recaptioned text can help a lot. But this kind of prompt normally is not very friendly for user.
So utilizing LLM will be a good idea.
DanTagGen is a simple demo about utilizing LLM to generate Danbooru tag based prompt. And the format followed what "kohaku-xl-delta" used. (kxl-delta is a SDXL anime style model)
I agree, it's a really valuable ai project for anime stable diffusion model's prompting.
Expect it to be supported by the hf community :smile:
I was waiting for this.
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Great works
For humans, it is not easy to write lengthy and intricate prompts.
Undoubtedly, this project is useful for stable diffusion models.
Obviously this tool IS ALL U NEED
This is a good idea so that one doesn't have to waste effort on formatting the written text
This can be regarded as a community effort to reproduce the work done in "Optimizing Prompts for Text-to-Image Generation, Hao et al, NeurIPS 2023" (https://arxiv.org/abs/2212.09611) for models targeting a different domain. This should definitely evolve to become the common practice for any future model in this text-to-image space.
Just registered an account to support this to make it easier to generate my waifus :) Make it happen pls
Hi @KBlueLeaf , I just added you to ZeroGPU explorers org, so can you check the usage section of the org card and see if your Space can run on ZeroGPU? Let us know if your Space doesn't work with it.
@KBlueLeaf , OK, I just approved your request.
And can you provide more information about how to use zeroGPU?
Do I need to switch to any specifc hardware? Or just choose A10 and it will become ZERO automatically?
Once you join the org, you should be able to see the ZeroGPU option in the Settings.
Ohhh
Awesome! Yes, you can close this discussion.