stable-diffusion-image-generation

Generate images from text prompts and image inputs using Stable Diffusion pipelines.

Updated Apr 19, 2026
One-click install
npx skills add https://github.com/gqf2008/hermez-ai --skill stable-diffusion-image-generation-gqf2008
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: stable-diffusion-image-generation
Source: https://github.com/gqf2008/hermez-ai/tree/main/skills/mlops/models/stable-diffusion
Command: npx skills add https://github.com/gqf2008/hermez-ai --skill stable-diffusion-image-generation-gqf2008

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Automates high-quality image generation from text prompts by orchestrating Stable Diffusion pipelines across multiple models and workflows, enabling rapid creative iteration and custom diffusion setups.

Core Features & Use Cases

  • Text-to-image generation from prompts and fine-tuned models
  • Image-to-image translation, inpainting, and outpainting
  • Building and swapping diffusion pipelines with multiple model variants

Quick Start

Install the required libraries and run a text prompt through a Stable Diffusion pipeline to generate an image.

Frequently Asked Questions about stable-diffusion-image-generation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate images from text prompts using Stable Diffusion pipelines?

Stable Diffusion pipelines generate images from text prompts by orchestrating diffusion models across multiple variants, requiring diffusers, transformers, accelerate, and torch libraries to execute text-to-image workflows.

Can I use Stable Diffusion for image-to-image translation and inpainting?

Yes, Stable Diffusion supports image-to-image translation, inpainting, and outpainting workflows. It orchestrates custom diffusion pipelines across multiple model variants to modify existing images or fill masked regions.

What's the best way to build and swap custom diffusion pipelines across model variants?

Building and swapping custom diffusion pipelines involves orchestrating multiple Stable Diffusion model variants through the diffusers library, enabling rapid creative iteration and custom diffusion setups for diverse generation tasks.

Do I need specific library versions to run Stable Diffusion text-to-image generation?

Yes, Stable Diffusion image generation requires diffusers version 0.30.0 or higher, transformers 4.41.0 or higher, accelerate 0.31.0 or higher, and torch 2.0.0 or higher to execute pipelines.

Why use Stable Diffusion pipelines for high-quality image generation instead of other approaches?

Stable Diffusion pipelines automate high-quality image generation by supporting text-to-image, image-to-image, and inpainting workflows across multiple model variants, enabling rapid creative iteration and custom diffusion setups.

When should I use custom diffusion pipelines for image generation tasks?

Use custom diffusion pipelines when automating high-quality image generation from text prompts or image inputs, requiring fine-tuned models, inpainting, outpainting, or swapping across multiple Stable Diffusion model variants.