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Open Source AI Art

Stable Diffusion GuideFree & Unlimited AI Art

Stable Diffusion is the free, open-source AI image generator you can run on your own computer. No subscriptions, no limits, complete control.

What is Stable Diffusion? An open-source AI model that generates images from text. Unlike Midjourney or DALL-E, you can download it and run it on your own computer for free. This means unlimited generations, full privacy, and the ability to customize everything. The tradeoff? It requires some technical setup and a decent GPU.

Stable Diffusion Models

Different versions and community fine-tunes

SDXL 1.0

Latest

Latest official model with 1024x1024 native resolution and exceptional quality.

High resolutionBest qualityTwo-stage refinerOfficial

SD 1.5

Most Popular

Lightweight, fast, and compatible with thousands of community models.

Huge ecosystemFast generationLow VRAMMany LoRAs

Community Fine-tunes

Specialized

Specialized models for anime, realism, art styles, and more.

Anime (NAI)PhotorealismFantasy artSpecific styles

Why Choose Stable Diffusion

Advantages of running your own AI image generator

Completely Free

No subscription fees, no usage limits. Generate as many images as your hardware allows.

Example: Run it 24/7 on your computer with zero cost per image.

Full Control

Adjust every parameter — steps, samplers, CFG scale, seed, and more.

Example: Reproduce exact images by saving your seed and settings.

Privacy

Everything runs on your machine. Your prompts and images stay private.

Example: No data sent to the cloud, no content moderation restrictions.

Massive Ecosystem

Thousands of custom models, LoRAs, embeddings, and extensions available.

Example: Find specialized models for any style on Civitai and Hugging Face.

ControlNet

Guide generation with poses, edges, depth maps, and more for precise control.

Example: Upload a stick figure pose and generate a detailed character matching it.

Inpainting & Outpainting

Edit specific parts of images or extend them beyond their borders.

Example: Fix faces, change backgrounds, or expand images in any direction.

How to Run Stable Diffusion

Choose the interface that fits your needs

Automatic1111 WebUI

Medium

Most popular interface with tons of features. Browser-based, user-friendly.

Windows/Mac/Linux, 4GB+ VRAM GPU recommended

ComfyUI

Advanced

Node-based workflow editor. More powerful but steeper learning curve.

Windows/Mac/Linux, 4GB+ VRAM GPU recommended

Fooocus

Easy

Simplified interface inspired by Midjourney. Easiest to use.

Windows/Linux, 4GB+ VRAM GPU

Cloud Services

Easy-Medium

Run in the cloud without a powerful GPU. Google Colab, RunPod, etc.

Internet connection, some services have costs

Key Terms to Know

Understanding these will help you get better results

Checkpoint

The main model file (.safetensors). Different checkpoints produce different styles.

LoRA

Small add-on files that modify a checkpoint. Add specific characters, styles, or concepts.

VAE

Variational Auto-Encoder. Affects color quality. Usually included in checkpoints.

Sampler

Algorithm for image generation. DPM++ 2M Karras is a good default.

CFG Scale

How closely to follow your prompt. 7 is a good default; higher = more literal.

Steps

Number of denoising iterations. 20-30 is usually enough; more ≠ always better.

Seed

Random number that determines the image. Same seed + settings = same image.

Negative Prompt

Things you DON'T want in the image (blur, bad anatomy, etc.).

Prompting Tips for Stable Diffusion

Use Quality Tags

Example

masterpiece, best quality, highly detailed, 8k, professional

Why: Models are trained to associate these with higher quality outputs.

Order Matters

Example

Put important elements first: "red dragon, flying over mountains, sunset, fantasy art"

Why: Earlier words typically have stronger influence on the result.

Use Negative Prompts

Example

Negative: blurry, bad anatomy, worst quality, watermark, text

Why: Helps avoid common artifacts and quality issues.

Try Weight Syntax

Example

(detailed eyes:1.3), (soft lighting:0.8)

Why: Numbers above 1 increase emphasis; below 1 decrease it.

Experiment with Samplers

Example

Try DPM++ 2M Karras, Euler a, or DDIM for different results

Why: Different samplers can produce notably different images from the same prompt.

Stable Diffusion vs Others

FeatureStable DiffusionMidjourneyDALL-E
CostFree$10+/moPay per image
PrivacyFullCloud onlyCloud only
CustomizationUnlimitedLimitedLimited
Ease of UseMedium-HardEasyEasy
Quality (default)GoodExcellentVery Good

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