stable-diffusion-image-generation

Generate images from text prompts using Stable Diffusion pipelines.

150|25|Updated Apr 20, 2026
One-click install
npx skills add https://github.com/Devsoul2026/Hermes-One-Click --skill stable-diffusion-image-generation-devsoul2026
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: stable-diffusion-image-generation
Source: https://github.com/Devsoul2026/Hermes-One-Click/tree/main/hermes-agent/optional-skills/mlops/stable-diffusion
Command: npx skills add https://github.com/Devsoul2026/Hermes-One-Click --skill stable-diffusion-image-generation-devsoul2026

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Generate high-quality images from text prompts using Stable Diffusion pipelines.

Core Features & Use Cases

  • Text-to-Image: generate photorealistic or stylized images from natural language prompts.
  • Image-to-Image & Inpainting: transform or restore images with guidance and masks.
  • Model Variants & Extensibility: supports Stable Diffusion, SDXL, ControlNet, LoRA adapters, IP-Adapter, and other diffusion components.
  • Deployment & Performance: supports offline runtimes, memory optimizations, and multi-GPU setups for scalable production.

Quick Start

Install dependencies and run a diffusion-based script to generate images from prompts.

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?

Generate images from text prompts using Stable Diffusion by running diffusion-based scripts through the HuggingFace Diffusers library. It enables text-to-image workflows to create photorealistic or stylized outputs from natural language inputs across Linux, macOS, and Windows.

Can I use ControlNet and LoRA adapters for image-to-image translation?

Yes, you can use ControlNet and LoRA adapters for image-to-image translation. The Skill supports these diffusion components alongside IP-Adapter to transform or restore existing images with specific guidance and masks.

Does Stable Diffusion support SDXL models and memory optimization for multi-GPU setups?

Stable Diffusion supports SDXL and SD 1.x/2.x variants with memory optimizations for multi-GPU setups. This enables scalable production deployment and offline runtimes for generating high-quality images efficiently.

What is the best way to perform inpainting with HuggingFace Diffusers?

Perform inpainting with HuggingFace Diffusers by applying masks and guidance to restore or transform images. The Skill facilitates custom diffusion pipelines to seamlessly modify specific image regions while preserving the surrounding context.

Do I need custom diffusion pipelines to build image generation workflows across different operating systems?

You can build image generation workflows across Linux, macOS, and Windows using custom diffusion pipelines. The Skill satisfies requirements for using HuggingFace Diffusers to deploy consistent text-to-image and image-to-image translation environments cross-platform.