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Image Generation Open source

Stable Diffusion

Stability AI's open-source model with the largest community of fine-tuned models, LoRAs, and ControlNet.

8.0
Editorial score
Updated: 6 Jun 2026
8.0 / 10

Veredicto editorial

Buena herramienta con puntos fuertes definidos. Vale la pena evaluarla según tu caso de uso específico.

Open source Image Generation

What is Stable Diffusion?

Stable Diffusion is the open-source latent-diffusion model for text-to-image created by Stability AI and released in 2022. Its impact was huge: for the first time anyone with a decent GPU could run a quality image model without paying a company.

In 2026 it remains the engine of much of the creative community: thousands of fine-tuned models (LoRAs), interfaces like ComfyUI or Automatic1111, and ControlNet for pixel-level control. Although Flux has taken the lead in pure quality, Stable Diffusion keeps an edge in flexibility, community, and zero cost.

Who is Stable Diffusion for?

  • Designers and artists who want fine control and custom styles.
  • Developers integrating image generation without paying per use.
  • Open source community training LoRAs and derivative models.
  • Companies with sensitive data who don’t want to rely on external APIs.
  • Advanced users willing to invest time learning.

Core features

1. Open source and self-hostable

Weights are published and you can run them on your own machine without sending anything to the cloud. Once installed, generating images only costs electricity.

2. Massive model community

Civitai hosts tens of thousands of fine-tuned models (anime, photorealism, specific styles) and community-trained LoRAs.

3. Pixel-level control with ControlNet

ControlNet controls pose, depth, line structure, or final edges. It’s what separates “random image” from “exact image”.

4. Interfaces for all levels

From Automatic1111 (classic all-in-one) to ComfyUI (node-based, infinitely customizable), plus Forge, InvokeAI, and Fooocus.

5. Local and API

Run on your GPU PC or use Replicate, RunPod, or Hugging Face if you don’t have hardware.

Pricing and plans

Mode Price Features
Local (self-hosted) Hardware cost only GPU 8GB VRAM+ · unlimited images
Replicate / RunPod Per image/GPU-second Pay-as-you-go, no install
DreamStudio ~$10-30/month Stability AI’s official UI

Pros and cons

✓ Strengths

  • Open source with downloadable weights
  • Gigantic community and ecosystem
  • Unmatched fine control with ControlNet
  • Zero cost per image locally
  • Custom LoRAs and fine-tuning
  • Works offline with sensitive data

✗ Weaknesses

  • Steep learning curve
  • Base quality below Flux and Midjourney
  • Needs a powerful GPU for fluid use
  • Results very dependent on chosen checkpoint

Related reads on NodoAI

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