
Stable Diffusion Image Generation
This wraps HuggingFace's Diffusers library for running Stable Diffusion locally, which means you need GPU access but get full control over the generation pipeline. It covers text-to-image, img2img, inpainting, and ControlNet for spatial conditioning like edge maps or pose skeletons. The documentation includes scheduler comparisons (DPMSolver gets you quality in 15-25 steps instead of 50) and walks through SDXL and LoRA adapters. Use this when you want to generate images programmatically without API costs or need fine-grained control over the diffusion process. If you just need images and don't want to manage GPU inference, stick with DALL-E 3 or Midjourney instead.
- skills.sh installs
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- GitHub stars
- 14.4K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add orchestra-research/ai-research-skills --skill stable-diffusion-image-generation --agent claude-codeInstalls into .claude/skills of the current project.
Files
Stable Diffusion Image Generation
Comprehensive guide to generating images with Stable Diffusion using the HuggingFace Diffusers library.
When to use Stable Diffusion
Use Stable Diffusion when:
- Generating images from text descriptions
- Performing image-to-image translation (style transfer, enhancement)
- Inpainting (filling in masked regions)
- Outpainting (extending images beyond boundaries)
- Creating variations of existing images
- Building custom image generation workflows
Key features:
- Text-to-Image: Generate images from natural language prompts
- Image-to-Image: Transform existing images with text guidance
- Inpainting: Fill masked regions with context-aware content
- ControlNet: Add spatial conditioning (edges, poses, depth)
- LoRA Support: Efficient fine-tuning and style adaptation
- Multiple Models: SD 1.5, SDXL, SD 3.0, Flux support
Use alternatives instead:
- DALL-E 3: For API-based generation without GPU
- Midjourney: For artistic, stylized outputs
- Imagen: For Google Cloud integration
- Leonardo.ai: For web-based creative workflows
Quick start
Installation
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Details
- Repository
- github.com/orchestra-research/ai-research-skills
- Categories
- AI & Agent Building, Data Science & ML, Automation & Workflows, Generative Media
- First seen
- Jun 3, 2026
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