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stable-diffusion Skill

AI Agent SkillDesign & MediaPythonOpen source

Text-to-image generation, inpainting, and img2img. Published by NousResearch in hermes-agent.

Decision snapshot

Is this a fit?

Best for

Deployment, Design and media, Includes SKILL.md, Reusable instructions

Works with

Compatibility not yet detected.

Access

Permission behavior not yet detected.

Setup

Copy skill directory

Project health

29 days ago · MIT license

Considerations

No specific cautions were detected. Review the source and requested permissions before installing.

What is stable-diffusion Skill?

Text-to-image generation, inpainting, and img2img. Published by NousResearch in hermes-agent. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
100/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Deployment
  • Design and media
  • Deployment use cases
  • Design and media use cases

Declared skill metadata

  • Declared author: Orchestra Research
  • Declared license: MIT
  • Source file: optional-skills/mlops/stable-diffusion/SKILL.md

These fields retain source and confidence evidence from the indexed SKILL.md.

Compatibility and setup

Copy skill directory
  • Install or run with Copy skill directory

When to use stable-diffusion Skill

  • Use it for deployment.
  • Use it for design and media.

Built with

PythonCopy skill directory

Editorial notes

Source

  • Creator: NousResearch
  • Repository: NousResearch/hermes-agent
  • Skill file: optional-skills/mlops/stable-diffusion/SKILL.md

What it does

Text-to-image generation, inpainting, and img2img.

Skill instructions

Stable Diffusion Image Generation 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 integra

Verified compatibility and discovery

Frequently asked questions

What is stable-diffusion?

stable-diffusion is a open-source AI agent skill with Copy skill directory. Text-to-image generation, inpainting, and img2img.

Who is stable-diffusion best for?

stable-diffusion is best for reusing agent instructions, scripts, and references, deployment workflows, design and media workflows.

How do I install stable-diffusion?

Install or run stable-diffusion using Copy skill directory. Check stable-diffusion for the latest setup command.

Is stable-diffusion actively maintained?

stable-diffusion may need a closer maintenance check before production use.

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Stars
228,028
Forks
44,793
Last commit
29 days ago
Last verified
Aug 11, 2026
Metadata fetched
Aug 11, 2026
Repository age
1 year
License
MIT

Project health auto-fetched from the source repository.

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Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.

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