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awesome-stable-diffusion
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added dream-texture, practical deep learning for coders 

Signed-off-by: Georg Zoeller <georgzoeller@users.noreply.github.com>
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@ -110,6 +110,10 @@ Prompts are the instructions given to diffusion models to manipulate their outpu
* [PromptoMania](https://promptomania.com/) - A visual prompt construction tool.
* [rom1504/clip-retrieval](https://github.com/rom1504/clip-retrieval) - Searches for prompt keywords in the datasets used in training Stable Diffusion and other models ([Online GUI](https://rom1504.github.io/clip-retrieval/)).
### Specialized Usecases
* [dream-textures](https://github.com/carson-katri/dream-textures) - A blender addon leveraging stable diffusion for texture creation.
*
## Tutorials and Comparisons
@ -130,6 +134,11 @@ Tutorials and high quality educational resources
* [AI Image Generator Comparison](https://petapixel.com/2022/08/22/ai-image-generators-compared-side-by-side-reveals-stark-differences/) - A visual comparison between Dall-e, Stable Diffusion and Midjourney by PetaPixel.com.
* [Getting great results at Stable Diffusion](https://old.reddit.com/r/StableDiffusion/comments/x41n87/how_to_get_images_that_dont_suck_a/) - A guide on generating images that don't suck.
### Courses
* [Practical deep learning for coders](https://course.fast.ai/) - high quality course by fast.ai aimed at coders that covers many aspects of deep learning, including stable-diffusion.
### Studies
* [Modifier Studies](https://proximacentaurib.notion.site/2b07d3195d5948c6a7e5836f9d535592?v=b5b75a67cc52483c9965cfc141f6f582) - Visual study of popular modifiers/keywords.
* [Artist Studies](https://remidurant.com/artists/#) - Visual study of various artists.