Stable Diffusion

Stable Diffusion

Verified & Tested FeaturedImages

Full-control AI image generation for creators

5.0(1 reviews)2 upvotesLast tested: Mar 8, 2026

Stable Diffusion is an open-source AI image generator developed by Stability AI. It uses a latent diffusion model to convert text prompts into high-quality images. The tool was first released in 2022 and has since become the most widely used open-source image generation model. It is available for free download on Hugging Face with over 90,000 community-built models.

The latest version is Stable Diffusion 3.5, available in three sizes Large, Large Turbo, and Medium. It generates images up to 1 megapixel resolution with improved prompt adherence and text rendering. Core features include text-to-image, image-to-image, inpainting, outpainting, and ControlNet support. Users access it through popular interfaces like Automatic1111 Web UI, ComfyUI, or Fooocus.

Stable Diffusion runs locally on your own GPU or through cloud-based services like DreamStudio. The Stability AI API allows developers to integrate image generation directly into apps and workflows. It supports LoRA training for custom model fine-tuning on specific styles or subjects. NVIDIA GPUs with 8 GB+ VRAM are recommended, though Apple Silicon and select AMD cards also work.

The tool is free to self-host under the Community License for individuals and businesses earning under $1 million per year. Paid options include DreamStudio credits at $10 per 1,000 and pay-as-you-go API access. It is best suited for developers, digital artists, and content creators who want full control over their pipeline. Enterprises above the $1M threshold require a separate commercial license from Stability AI.

Our Rating Breakdown

Ease of Use5.0
Pricing Fairness4.5
Free Tier Value4.8
Feature Quality5.0
Customer Support4.1
Overall5.0

Use Cases

No use cases listed yet.

Stable Diffusion Pricing & Plans

Pricing Verified

Free

$0

  • Own GPU Required
  • Unlimited generations
  • Full model access
  • LoRA training
  • Offline use
  • Self-Hosted
Most Popular

DreamStudio

$10

  • Browser-based
  • No GPU needed
  • 5,000 basic images per $10
  • 1,000 credits

Stability API (SDXL)

$0.002–$0.006 / image

  • SDXL endpoint
  • Pay-as-you-go
  • Scalable

Enterprise

Custom quote

  • Commercial license
  • Custom training
  • Dedicated support

Last updated: March 8, 2026 – We manually verify all pricing.

Stable Diffusion Pros & Cons

PROS

  • Completely free to self-host and run locally
  • Open-source with 90,000+ models on Hugging Face
  • No per-image cost after hardware investment
  • Unmatched customization — LoRA, ControlNet, fine-tuning
  • Supports text-to-image, img2img, inpainting, outpainting
  • Runs entirely offline for full data privacy
  • Active ecosystem — Automatic1111, ComfyUI, Fooocus
  • DreamStudio offers a low-cost browser option
  • API pricing far cheaper than DALL-E at scale
  • Works on NVIDIA, select AMD GPUs, Apple Silicon

CONS

  • Requires a dedicated GPU with 8 GB+ VRAM
  • Steeper learning curve than cloud competitors
  • Setup involves Python, Git, and driver configs
  • SD 3.5 licensing restricts enterprises above $1M revenue
  • Complex prompts can produce inconsistent results
  • No built-in content moderation or safety filters
  • Keeping up with model updates demands ongoing effort
  • DreamStudio credit system can confuse new users
  • Lacks polished default aesthetics of Midjourney
  • AMD and Intel GPU support still limited versus NVIDIA

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