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Stable Diffusion API for Developers and Businesses

Access Stable Diffusion models via a single REST API. Generate production-quality images with SDXL, SD 1.5, and custom fine-tuned models through ModelsLab's developer-first platform.

Get Stable Diffusion API KeyAPI Documentation

What is the ModelsLab Stable Diffusion API?

The Fastest Way to Run Stable Diffusion in Production

ModelsLab provides a production-ready Stable Diffusion API that gives developers instant access to SDXL, SD 1.5, SD 3.0, and over 10,000 community fine-tuned models through a single REST endpoint. Unlike self-hosted solutions that require managing GPU servers, ModelsLab handles all infrastructure — from model loading and GPU allocation to auto-scaling and failover.

The Stable Diffusion API supports text-to-image, image-to-image, inpainting, outpainting, and ControlNet workflows. Developers can generate up to 15 images in parallel with sub-3-second latency on dedicated A100 GPUs. Every API call returns images as URLs or base64 data, ready to serve directly to end users.

ModelsLab is trusted by over 50,000 developers and businesses worldwide, processing millions of image generations monthly. The platform offers transparent per-image pricing starting at $0.002 per generation, with unlimited plans available for high-volume users.

Supported Stable Diffusion Models

ModelsLab supports the complete Stable Diffusion model family, including the latest architectures and community-trained variants:

  • Stable Diffusion XL (SDXL) — High-resolution 1024×1024 photorealistic image generation with improved text rendering and composition
  • Stable Diffusion 1.5 — Fast, versatile model ideal for rapid prototyping and creative exploration with the largest ecosystem of LoRAs and embeddings
  • Stable Diffusion 3.0 — Latest architecture with improved prompt understanding, text generation in images, and multi-subject composition
  • CivitAI Community Models — Import and run any of 100,000+ community-trained models directly via API, including specialized models for anime, photorealism, architecture, and more
  • Custom Fine-Tuned Models — Train your own Stable Diffusion models with DreamBooth and deploy them to the API in minutes

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IBM logo
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1B+

Images Processed Monthly

500K+

Active Developers

5K+

Discord Community Members

300+

Available AI APIs

Stable Diffusion API Quick Start

Generate images with Stable Diffusion in seconds. Here's how to make your first API call.

Generate an image with cURL

bash
curl -X POST 'https://modelslab.com/api/v7/images/text-to-image' \
  -H 'Content-Type: application/json' \
  -d '{
    "key": "YOUR_API_KEY",
    "model_id": "sdxl",
    "prompt": "a beautiful sunset over mountains, photorealistic, 8k",
    "negative_prompt": "blurry, low quality",
    "width": 1024,
    "height": 1024,
    "samples": 1,
    "num_inference_steps": 30,
    "guidance_scale": 7.5
  }'

Generate an image with Python

Python
import requests

url = "https://modelslab.com/api/v7/images/text-to-image"
payload = {
    "key": "YOUR_API_KEY",
    "model_id": "sdxl",
    "prompt": "a beautiful sunset over mountains, photorealistic, 8k",
    "negative_prompt": "blurry, low quality",
    "width": 1024,
    "height": 1024,
    "samples": 1,
    "num_inference_steps": 30,
    "guidance_scale": 7.5
}

response = requests.post(url, json=payload)
data = response.json()
print(data["output"])  # List of generated image URLs

Generate an image with JavaScript

JavaScript
const response = await fetch('https://modelslab.com/api/v7/images/text-to-image', {
  method: 'POST',
  headers: { 'Content-Type': 'application/json' },
  body: JSON.stringify({
    key: 'YOUR_API_KEY',
    model_id: 'sdxl',
    prompt: 'a beautiful sunset over mountains, photorealistic, 8k',
    negative_prompt: 'blurry, low quality',
    width: 1024,
    height: 1024,
    samples: 1,
    num_inference_steps: 30,
    guidance_scale: 7.5
  })
});

const data = await response.json();
console.log(data.output); // Array of generated image URLs

Enterprise-Grade Stable Diffusion API Access

Run any Stable Diffusion model in production without managing GPU infrastructure. One API, thousands of models.

SDXL, SD 1.5, and Custom Models

Access the full range of Stable Diffusion architectures. Run SDXL for photorealistic outputs, SD 1.5 for fast iterations, or load community-trained models from CivitAI directly via API.

ControlNet and LoRA Support

Maintain precise control over image generation with ControlNet guidance and LoRA fine-tuning. Apply pose detection, depth maps, edge detection, and style transfers through API parameters.

Inpainting and Outpainting

Edit existing images with AI-powered inpainting to remove or replace objects. Extend image boundaries with outpainting to create wider compositions, all via simple API calls.

Batch Processing and Parallel Generation

Generate up to 15 images simultaneously with parallel processing. Ideal for e-commerce catalogs, marketing campaigns, and high-volume content pipelines that need fast turnaround.

SDXL, SD 1.5, and Custom Models
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Deploy Stable Diffusion models at scale with low latency, high availability, and transparent pricing.

Start Free Trial

Stable Diffusion API Comparison

See how ModelsLab compares to other Stable Diffusion API providers.

FeatureModelsLabHugging FaceReplicateLeonardo AI
Models Available10,000+~500~200~50
SDXL Support✅ Yes✅ Yes✅ Yes✅ Yes
SD 3.0 Support✅ Yes✅ Yes✅ Yes❌ No
CivitAI Models✅ Direct Import❌ No❌ No❌ No
ControlNet✅ Full Suite✅ Limited✅ Limited✅ Limited
Starting Price$0.002/image$0.006/image$0.005/image$0.004/image
Unlimited Plan✅ $29/mo❌ No❌ No✅ $48/mo
Parallel GenerationUp to 15Up to 5Up to 5Up to 8
Custom Model Training✅ DreamBooth✅ Yes✅ Yes✅ Yes
Avg Latency (SDXL)~2.5s~5s~4s~3s

Data as of February 2026. Pricing based on publicly available information.

How to Use the Stable Diffusion API

Start generating images with Stable Diffusion in three steps.

STEP 01
STEP 01

Step 1: Get Your API Key

Sign up for a free ModelsLab account and generate your API key from the dashboard. No credit card required to start.

STEP 02
STEP 02

Step 2: Send Your First Request

Make a POST request to our Stable Diffusion endpoint with your prompt, model selection, and generation parameters. Use any language — Python, JavaScript, cURL, or our SDK.

STEP 03
STEP 03

Step 3: Receive Generated Images

Get your images back as URLs or base64 data within seconds. Download, store, or serve them directly to your users with no additional processing needed.

Get Your API Key

Stable Diffusion API Pricing

ModelsLab offers the most affordable Stable Diffusion API pricing in the market. Pay-as-you-go pricing starts at $0.002 per image generation for standard models and $0.004 for SDXL. For high-volume users, the unlimited plan at $29 per month provides unrestricted access to Stable Diffusion models with parallel generation support.

Enterprise plans include dedicated GPU instances, custom SLAs, priority support, and volume discounts. All plans include a free tier with 100 API calls per day, making it easy to prototype and test before committing to a paid plan.

API Authentication and Rate Limits

Authentication uses a simple API key passed in the request body. Rate limits are generous: free tier allows 100 requests per day, paid plans support 1,000 to 10,000 requests per minute depending on the plan. Enterprise customers get custom rate limits based on their GPU allocation.

Stable Diffusion API Endpoints

The ModelsLab Stable Diffusion API provides dedicated endpoints for every image generation workflow:

  • POST /api/v7/images/text-to-image — Generate images from text prompts with full control over model, resolution, sampling, and guidance parameters
  • POST /api/v7/images/image-to-image — Transform existing images with text guidance, style transfer, and strength control
  • POST /api/v7/images/inpaint — Edit specific regions of images using masks and text prompts
  • POST /api/v7/images/controlnet — Use ControlNet preprocessors (Canny, Depth, OpenPose, Scribble) for precise composition control
  • POST /api/v7/images/upscale — Upscale generated or existing images up to 8K resolution using Real-ESRGAN
  • POST /api/v7/images/fetch/{request_id} — Retrieve completed image generation results asynchronously

Why Developers Choose ModelsLab for Stable Diffusion

Key advantages that set us apart

Full Stable Diffusion SDXL and SD 1.5 model support
Access 10,000+ community models and LoRAs via API
ControlNet integration for pose, depth, and edge control
Parallel image generation — up to 15 at once
Transparent per-image pricing with no hidden fees
Sub-3-second generation times on dedicated GPUs
Inpainting, outpainting, and image-to-image endpoints
Automatic model loading — no cold starts
GDPR-compliant data handling and privacy
Python and JavaScript SDKs with full documentation
Upscale images up to 8K resolution
99.9% API uptime SLA for enterprise plans
24/7 developer support via Discord and email
No questions asked refund policy

Our Popular Use Cases

Industries using our Stable Diffusion API:

Generate product photography, lifestyle mockups, and marketing visuals at scale. Reduce studio costs with AI-generated product images via the Stable Diffusion API.

E-Commerce

Stable Diffusion API FAQ

The Stable Diffusion API is a REST API that lets developers generate images from text prompts using Stable Diffusion models (SDXL, SD 1.5, SD 3.0) without managing GPU infrastructure. ModelsLab provides the API with access to over 10,000 models, sub-3-second latency, and pricing starting at $0.002 per image.

ModelsLab Stable Diffusion API pricing starts at $0.002 per image for SD 1.5 and $0.004 per image for SDXL. An unlimited plan is available at $29/month with unrestricted generations. Enterprise plans with dedicated GPUs start at $299/month. All plans include a free tier with 100 API calls per day.

The API supports Stable Diffusion XL (SDXL), Stable Diffusion 1.5, Stable Diffusion 3.0, and over 10,000 community fine-tuned models from CivitAI. You can also train and deploy custom models using DreamBooth directly through the API.

Average generation time is under 3 seconds for SDXL on dedicated A100 GPUs. SD 1.5 models generate in under 2 seconds. The API supports up to 15 parallel generations for batch processing workflows.

Yes, ModelsLab supports the full ControlNet suite including Canny edge detection, depth maps, OpenPose, scribble, and more. Pass ControlNet parameters in your API request to guide image composition with reference images.

Yes, SDXL is fully supported with native 1024×1024 resolution output. ModelsLab offers all SDXL variants including SDXL Base, SDXL Refiner, SDXL Turbo for fast generation, and thousands of SDXL LoRA fine-tuned models.

Sign up for a free ModelsLab account at modelslab.com, generate your API key from the dashboard, and make your first API call. No credit card is required for the free tier. The API uses simple REST endpoints with JSON payloads — see our documentation at docs.modelslab.com for full guides.

Yes, ModelsLab is built for production workloads. The platform offers 99.9% uptime SLA, auto-scaling GPU infrastructure, webhook callbacks for async processing, and enterprise support with dedicated account managers. Over 50,000 developers use ModelsLab in production.

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Flexible Pricing for Your AI Design & Visualization Needs

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