# Stable Diffusion > Stable Diffusion image generation models. Use for image AI. Use when this capability is needed. - Skill: `tomevault-io/stable-diffusion` (Agent Skill, multi-file: 2 files) - Install (CLI): `npx skillmds@latest add tomevault-io/stable-diffusion` - Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/stable-diffusion/raw - Safety review: pending - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: AI & ML - Author: tomevault-io (https://skillmd.com/u/tomevault-io) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/tomevault-io/stable-diffusion --- # Stable Diffusion Stable Diffusion (by Stability AI) is the open standard for image generation. SD 3.5 (2025) improves prompt adherence and typography. ## When to Use - **Control**: You need exact composition control (ControlNet). - **Local Generation**: Run on your own GPU. No censorship/cost. - **Fine-Tuning**: training LoRAs on your own face/product. ## Core Concepts ### Diffusers Library The Hugging Face library to run SD pipelines in Python. ### LoRA (Low-Rank Adaptation) Small adapter files (100MB) that add a style or character to the base model. ### ComfyUI The node-based GUI for building complex SD workflows (see separate skill). ## Best Practices (2025) **Do**: - **Use SD 3.5 Large**: For best text rendering. - **Use Flux**: The community has largely moved to **Flux.1** (Black Forest Labs) alongside SD. - **Use ControlNet**: To force the image to follow a specific pose or edge map. **Don't**: - **Don't use SD 1.5**: Unless you need specific legacy LoRAs. SDXL/SD3/Flux are superior. ## References - [Stability AI Models](https://stability.ai/models) --- > Converted and distributed by [TomeVault](https://tomevault.io/claim/g1joshi) — claim your Tome and manage your conversions.