paint-with-words-sd
Implementation of Paint-with-words with Stable Diffusion : method from eDiff-I that let you generate image from text-labeled segmentation map.
Generate images from text descriptions using a method that combines words with visual elements.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeImplementation of Paint-with-words with Stable Diffusion : method from eDiff-I that let you generate image from text-labeled segmentation map.
paint-with-words-sd has 646 stars on GitHub. It has been forked 50 times. paint-with-words-sd is written mainly in Jupyter Notebook. It has been in active development since 2022. paint-with-words-sd is available under the MIT license. Its main topics are diffusion, generative-model, stable-diffusion.
What is paint-with-words-sd?
Implementation of Paint-with-words with Stable Diffusion : method from eDiff-I that let you generate image from text-labeled segmentation map.
Is paint-with-words-sd open source?
paint-with-words-sd is an open-source project. It is released under the MIT license.
Is paint-with-words-sd free?
Yes. paint-with-words-sd is free and open source — you can use, modify and self-host it.
What license does paint-with-words-sd use?
paint-with-words-sd is available under the MIT license.
What language is paint-with-words-sd written in?
paint-with-words-sd is written mainly in Jupyter Notebook.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/cloneofsimo-paint-with-words-sd.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.