stable-diffusion-image-generation
State-of-the-art text-to-image generation with Stable Diffusion models
by davila7Free
Description
stable-diffusion-image-generation is an agent skill from the davila7 claude-code-templates collection, listed on skills.sh. It is a guide to generating images with Stable Diffusion models through the HuggingFace Diffusers library. The skill explains when to use Stable Diffusion: to generate images from text descriptions, to do image-to-image translation such as style transfer and enhancement, to inpaint masked regions, to outpaint and extend an image beyond its boundaries, to create variations of an existing image, and to build custom image generation workflows. The listing calls the models state of the art for text-to-image generation. The skill is a reference for developers who write Python or other code that calls Diffusers, and who want an agent to choose the right pipeline for each job. It does not itself provide a hosted service, so the user runs the models on hardware they control or through their own setup. It suits developers and researchers who want to generate or edit images with open Stable Diffusion models.…
Highlights
- Text-to-image generation
- Image-to-image, inpainting and outpainting
- Variations of existing images
- Built on HuggingFace Diffusers
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stable-diffusion-image-generation FAQ
What does the stable-diffusion-image-generation skill cover?
Generating and editing images with Stable Diffusion models, using the HuggingFace Diffusers library.
How do I install it?
Run: npx skills add https://github.com/davila7/claude-code-templates --skill stable-diffusion-image-generation
What editing tasks does it cover?
Image-to-image translation, inpainting of masked regions, outpainting beyond the image boundary, and variations.
Is there a hosted service?
No. The skill is a guide to the Diffusers library, so the models run wherever the user sets them up.
Has it been checked for security?
skills.sh lists three audits: Gen Agent Trust Hub Pass, Socket Pass and Snyk Pass.
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