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Stable Diffusion API for Developers

ModelsLab's Stable Diffusion API gives developers SDXL, SD 1.5 and SD 3 Medium — plus ControlNet, LoRA, inpainting, and 10,000+ community checkpoints — through one REST endpoint. Image generation is $0.0047 per image from your plan's included usage, with 2-4 second latency on warm models — plans from $21/month.

Last updated · By ModelsLab Engineering

How much does Stable Diffusion cost through an API in 2026?

On ModelsLab, an SDXL or SD 1.5 image is $0.0047 on the $47/month Standard plan (10,000 API calls) and $0.0065 on the $21/month Basic plan (3,250 calls). The $149/month Open Source Unlimited plan has no per-image charge on the Stable Diffusion models we host, which works out to $0.0015 per image at 100,000 images a month.

Stability AI's own API bills credits at $0.01 each: SDXL 1.0 from $0.009 per image, SD 3.5 Medium $0.035, SD 3.5 Large $0.065 and Stable Image Ultra $0.08. Replicate lists SD 3.5 Large at the same $0.065 per image, and fal at $0.065 per megapixel. The cheapest per image is SDXL on Replicate, billed by GPU time at about $0.0026 an image, which beats every ModelsLab plan up to about 57,000 images a month. Above that, the flat plan is cheaper. ModelsLab does not host SD 3.5: for SD 3.5, use Stability AI, Replicate or fal.

Stable Diffusion API Price per Image, September 2026

List prices from each provider's own pricing page. Per-image prices are for one 1024×1024 image; fal bills per megapixel.

ProviderModelListed priceHow it is billed
ModelsLabSDXL, SD 1.5, SD 3 Medium$0.0047 (Standard), $0.0065 (Basic)$47/month for 10,000 calls, $21/month for 3,250
ModelsLabSame models, Open Source UnlimitedNo per-image charge ($0.0015 at 100,000 images)$149/month
Stability AISDXL 1.0From $0.009Credits at $0.01, bought in $10 steps
Stability AIStable Image Core$0.03Credits
Stability AISD 3.5 Medium$0.035Credits
Stability AISD 3.5 Large Turbo$0.04Credits
Stability AISD 3.5 Large$0.065Credits
Stability AIStable Image Ultra$0.08Credits
ReplicateSDXLAbout $0.0026GPU time, $0.000975 per second on an L40S
ReplicateSD 3.5 Medium$0.035Per output image
ReplicateSD 3.5 Large$0.065Per output image
falSD 3.5 Large Turbo$0.015Per megapixel
falSD 3.5 Medium$0.02Per megapixel
falSD 3.5 Large$0.065Per megapixel

Prices checked September 27, 2026 on platform.stability.ai/pricing (1 credit = $0.01; SDXL 1.0 from 0.9 credits for a 1024×1024 image, SD 3.5 Medium 3.5, SD 3.5 Large Turbo 4, SD 3.5 Large 6.5, Stable Image Ultra 8), replicate.com (SD 3.5 Large $0.065, Large Turbo $0.04 and Medium $0.035 per output image; SDXL billed by GPU time on an L40S at $0.000975 per second, which Replicate estimates at about $0.0026 per run) and fal.ai (SD 3.5 Large $0.065, Medium $0.02 and Large Turbo $0.015 per megapixel). ModelsLab prices are the plan price divided by its call limit.

SDXL Cost at 1,000 to 500,000 Images a Month

Monthly cost for one SDXL image per call at 1024×1024, on the smallest ModelsLab plan whose call limit covers the volume.

Images / monthReplicate SDXL (~$0.0026)Stability AI SDXL ($0.009)ModelsLabCheapest
1,000$2.60$9$21 BasicReplicate
10,000$26$90$47 StandardReplicate
50,000$130$450$149 Open Source UnlimitedReplicate
100,000$260$900$149 Open Source UnlimitedModelsLab
500,000$1,300$4,500$149 Open Source UnlimitedModelsLab

Prices checked September 27, 2026. Replicate SDXL is billed by the second, so its cost moves with steps and resolution; the $0.0026 per image here is Replicate's own estimate. Stability AI SDXL 1.0 is from 0.9 credits ($0.009) per image.

What is the ModelsLab Stable Diffusion API?

Production Stable Diffusion, One REST Endpoint

The ModelsLab Stable Diffusion API gives developers programmatic access to the full Stable Diffusion family — SDXL, SD 1.5 and SD 3 Medium — plus 10,000+ community checkpoints and LoRAs, all through a single REST endpoint. You pass a model_id and a prompt to /api/v7/images/text-to-image and receive hosted image URLs in JSON within a few seconds.

Stable Diffusion is the most widely used open image-generation model family, and running it well in production means managing GPUs, model loading, VRAM, and scaling. ModelsLab handles all of that: popular models stay warm, a rarely used checkpoint or LoRA loads onto a GPU on first use (a few minutes), and auto-scaling absorbs traffic spikes. You keep the Stable Diffusion workflow you already know and drop the infrastructure.

Beyond base models, the API exposes the tools Stable Diffusion developers rely on — ControlNet for structural guidance, LoRA for style and subject fine-tuning, and dedicated inpainting and image-to-image endpoints. The same API key also covers FLUX and 10,000+ other image, video, audio, and LLM models when your product grows.

What You Can Build with the Stable Diffusion API

The Stable Diffusion API supports the full range of image workflows through one key:

  • Text-to-Image — Generate images from prompts with SDXL, SD 1.5 or SD 3 Medium at up to 2048×2048
  • Image-to-Image — Transform existing images with strength-controlled, prompt-guided edits
  • Inpainting — Mask a region and regenerate it from a prompt for object removal and replacement
  • ControlNet — Guide generation with pose, depth, edge, and segmentation reference maps
  • LoRA & Custom Checkpoints — Attach community LoRAs or upload and serve your own fine-tuned models
  • Upscaling — Enhance output resolution with super-resolution models through the same API

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Stable Diffusion Models on One API

Every major Stable Diffusion base model, selected with a single model_id. Every one of them is $0.0047 per image from your plan, or unlimited on the $149 plan.

ModelBest forNative resolutionModelsLab price
sdxlHigh-quality general-purpose generation and photorealism1024×1024$0.0047/image
stable-diffusion-3-mediumBetter prompt following and text in images than SDXL1024×1024$0.0047/image
sd-1.5Fast generation and the largest community LoRA ecosystem512×512$0.0047/image

Stable Diffusion API Quick Start

Generate an image in seconds with a single REST call — cURL, Python, or JavaScript.

Generate with SDXL using cURL

curl
1curl -X POST "https://modelslab.com/api/v7/images/text-to-image" \
2 -H "Content-Type: application/json" \
3 -d '{
4 "key": "YOUR_API_KEY",
5 "model_id": "sdxl",
6 "prompt": "a cozy reading nook by a rainy window, warm light, photorealistic",
7 "negative_prompt": "blurry, distorted, low quality",
8 "width": 1024,
9 "height": 1024,
10 "samples": 1,
11 "num_inference_steps": 30,
12 "guidance_scale": 7.5
13 }'

Generate with Python (SD 3 Medium)

Python
1import requests
2
3url = "https://modelslab.com/api/v7/images/text-to-image"
4payload = {
5 "key": "YOUR_API_KEY",
6 "model_id": "stable-diffusion-3-medium",
7 "prompt": "isometric illustration of a solar-powered smart home, clean vector style",
8 "width": 1024,
9 "height": 1024,
10 "samples": 2,
11 "num_inference_steps": 28,
12 "guidance_scale": 4.5
13}
14
15response = requests.post(url, json=payload)
16data = response.json()
17
18# data["output"] is a list of generated image URLs
19for i, image_url in enumerate(data["output"]):
20 print(f"Image {i+1}: {image_url}")

Inpainting with JavaScript

JavaScript
1const response = await fetch('https://modelslab.com/api/v7/images/inpaint', {
2 method: 'POST',
3 headers: { 'Content-Type': 'application/json' },
4 body: JSON.stringify({
5 key: 'YOUR_API_KEY',
6 model_id: 'sdxl',
7 init_image: 'https://example.com/photo.jpg',
8 mask_image: 'https://example.com/mask.png',
9 prompt: 'replace with a bouquet of white peonies',
10 samples: 1
11 })
12});
13
14const data = await response.json();
15// data.output = array of inpainted image URLs
16data.output.forEach((url, i) => console.log(`Result ${i + 1}: ${url}`));

One API: SDXL, SD 3, ControlNet & LoRA

Text-to-image, image-to-image, inpainting, ControlNet guidance, and custom checkpoints — all behind a single Stable Diffusion endpoint and one API key.

Every Stable Diffusion Base Model

SDXL, SD 1.5 and SD 3 Medium are all available through the same text-to-image endpoint. Switch model_id to move between speed, resolution, and quality without changing your integration.

ControlNet & LoRA Built In

Use ControlNet for pose, depth, edge, and segmentation guidance, and attach community LoRAs to steer style. Both run through the standard API — no custom pipeline assembly required.

Inpainting & Image-to-Image

Dedicated /inpaint and /image-to-image endpoints handle masked edits, object removal, and strength-controlled transformations, so editing workflows are a single call.

Custom Checkpoints

Upload your own fine-tuned Stable Diffusion or SDXL checkpoints and serve them through the same endpoint as the base models — ideal for brand-specific pipelines.

Every Stable Diffusion Base Model
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Everything developers need to ship Stable Diffusion features in production.

Stable Diffusion API Comparison

How ModelsLab compares to other ways to run Stable Diffusion in production.

FeatureModelsLabSelf-hosted GPUGeneric serverless
Models availableSDXL, SD 1.5, SD 3 + 10,000+Whatever you installA handful, provider-picked
ControlNet & LoRABuilt inDIY setupVaries
Inpainting & image-to-imageDedicated endpointsDIYVaries
Cold startsPopular models warmNone (always on)Frequent
GPU / DevOps to manageNoneAll of itNone
Cost model$0.0047/image or $149/mo unlimitedFixed GPU rental + ops timePer-second, spiky
Free tierPaid, from $21/moNoTrial credits

Data as of July 2026. Self-hosted and serverless figures reflect typical setups; your costs will vary with hardware, utilization, and traffic pattern.

How to Use the Stable Diffusion API

Generate your first image in under 5 minutes.

STEP 01
STEP 01

Step 1: Get Your API Key

Create a ModelsLab account, subscribe to a plan (from $21/month), and generate your API key from the dashboard. Every plan includes SDXL, SD 3 Medium, ControlNet, and inpainting.

STEP 02
STEP 02

Step 2: Choose a Model and Prompt

Send a POST request to /api/v7/images/text-to-image with model_id set to sdxl, stable-diffusion-3-medium, or any community checkpoint, plus your prompt and parameters like width, height, and steps.

STEP 03
STEP 03

Step 3: Get Your Images

Receive hosted image URLs in the JSON response within a few seconds. Use the /inpaint and /image-to-image endpoints for masked edits and transformations.

Stable Diffusion API Pricing

The Stable Diffusion API uses simple pricing: $0.0047 per image from the usage included in your plan ($47 on Standard covers 10,000 images), the same across SDXL, SD 1.5 and SD 3 Medium with no resolution upcharge up to 2048×2048. Stability AI’s own API lists SDXL 1.0 from $0.009 per image; Replicate bills SDXL by GPU time at about $0.0026 per image, which is cheaper than any ModelsLab plan below about 57,000 images a month (prices checked 2026-09-27).

For high-volume workloads, the $149/month Open Source Unlimited plan removes per-image cost entirely — the cheapest option at scale. Paid plans start at $21/month (Basic) and $47/month (Standard), and dedicated enterprise endpoints with custom SLAs start at $249/month. Compared with self-hosting, you avoid GPU rental, VRAM tuning, and on-call ops entirely.

API Response Format

The Stable Diffusion API returns a consistent JSON response across all endpoints. Generated images come back as publicly accessible URLs (available for 24 hours) or as base64 data for direct embedding. Synchronous requests return images in the response; for longer or batched jobs, use asynchronous mode and poll the fetch endpoint with the returned request_id, or register a webhook to receive completions.

Integration and SDKs

ModelsLab provides SDKs and integration paths for the Stable Diffusion API across popular stacks:

  • Python SDK — pip install modelslab — full endpoint coverage with async support
  • JavaScript/TypeScript — npm install modelslab — works in Node.js, Deno, and the browser
  • REST API — standard HTTP endpoints usable from any language (cURL, Go, Ruby, PHP, Java)
  • Webhook callbacks — receive generation completion notifications for async pipelines
  • Documentation — per-parameter guides and examples at docs.modelslab.com

Why ModelsLab for the Stable Diffusion API?

Key advantages that set us apart

SDXL, SD 1.5, SD 3 Medium plus 10,000+ checkpoints on one endpoint
$0.0047 per image with no resolution upcharge, unlimited on the $149 plan
$149/mo unlimited plan for high-volume generation
ControlNet for pose, depth, edge, and segmentation guidance
LoRA support and custom checkpoint upload
Dedicated inpainting and image-to-image endpoints
Popular models stay warm; rarely used ones load on first use
No GPU, VRAM, or DevOps to manage
FLUX and 10,000+ other models on the same key
Plans start at $21/month (Basic, 3,250 API calls)

Our Popular Use Cases

What developers build with the Stable Diffusion API:

Embed Stable Diffusion generation and editing into design apps, letting users create, transform, and inpaint images on demand.

Design & Creative Tools

Stable Diffusion API FAQ

The Stable Diffusion API is a REST API for generating and editing images with the Stable Diffusion model family. ModelsLab exposes SDXL, SD 1.5 and SD 3 Medium — plus ControlNet, LoRA, inpainting, and 10,000+ community checkpoints — through a single endpoint at /api/v7/images/text-to-image, so you can generate from text or edit existing images with a single model_id change.

On ModelsLab, Stable Diffusion image generation is $0.0047 per image on the $47/month Standard plan (10,000 API calls) and $0.0065 on the $21/month Basic plan (3,250 calls), the same across SDXL, SD 1.5 and SD 3 Medium with no resolution upcharge up to 2048×2048. The $149/month Open Source Unlimited plan has no per-image charge, and enterprise dedicated endpoints start at $249/month.

SDXL, SD 1.5 and SD 3 Medium are supported, alongside 10,000+ community fine-tuned checkpoints and LoRAs. You select any of them with the model_id parameter, and you can also upload and serve your own fine-tuned checkpoints.

Yes. ControlNet (pose, depth, edge, segmentation), LoRA styling, and dedicated inpainting and image-to-image endpoints are all available through the same API key. Text-to-image, image-to-image, inpainting, and ControlNet share one integration.

Self-hosting means renting GPUs and managing model loading, VRAM, scaling, and on-call operations. The ModelsLab API removes all of that: popular models stay warm (a rarely used checkpoint or LoRA loads on first use), auto-scaling absorbs spikes, and you pay $0.0047 per image from your plan or $149/month for unlimited generation instead of paying for idle GPU time.

Yes. Migration is an endpoint and payload swap: point text-to-image calls at /api/v7/images/text-to-image, image edits at /api/v7/images/image-to-image, and masked edits at /api/v7/images/inpaint. Your prompts, guidance settings, and ControlNet workflows carry over, and responses return hosted image URLs in JSON.

ModelsLab is a paid service — plans start at $21/month (Basic, 3,250 API calls) and include SDXL, SD 1.5, SD 3 Medium, ControlNet, and inpainting. Creating an account is free; API generation requires an active plan. The $47/month Standard plan (10,000 API calls) suits production volume.

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Plans from $21 a month

Basic is $21/month and Standard $47/month; self-hosted image models cost $0.0047 per image from that allowance. Open Source Unlimited is $149/month with no per-image charge on self-hosted models. Every plan covers Flux, SDXL and 10,000+ community models. Cancel anytime.

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ModelsLab serves SDXL, SD 1.5 and SD 3 Medium through one REST API, plus 10,000+ community checkpoints and LoRAs built on them. You select a model with a single model_id parameter (for example sdxl, sd-1.5 or stable-diffusion-3-medium), so you can move between base models and fine-tunes without changing your integration. ModelsLab does not host SD 3.5; for SD 3.5, use Stability AI, Replicate or fal.

Yes. The API exposes ControlNet for pose, depth, and edge guidance, LoRA support for style and subject fine-tuning, and dedicated inpainting and image-to-image endpoints. Text-to-image, image-to-image, inpainting, and ControlNet all run through the same API key.

On ModelsLab, a Stable Diffusion image is $0.0047 on the $47/month Standard plan (10,000 API calls) and $0.0065 on the $21/month Basic plan (3,250 calls), with no resolution upcharge up to 2048×2048. The $149/month Open Source Unlimited plan has no per-image charge, which is $0.0015 per image at 100,000 images a month. For comparison, Stability AI lists SDXL 1.0 from $0.009 per image and Replicate bills SDXL by GPU time at about $0.0026 per image. Prices checked 2026-09-27.

Send a POST request to https://modelslab.com/api/v7/images/text-to-image with your API key, model_id (for example "sdxl" or "stable-diffusion-3-medium"), and a prompt. Images are returned as hosted URLs in the JSON response, usually within a few seconds. Python, JavaScript, and cURL examples are documented at docs.modelslab.com.

Yes. If you already build with Stable Diffusion locally or on another host, migration is an endpoint and payload swap: point text-to-image calls at /api/v7/images/text-to-image, image edits at /api/v7/images/image-to-image, and masked edits at /api/v7/images/inpaint. Your prompts, guidance settings, and ControlNet workflows carry over.

ModelsLab's Stable Diffusion API is paid — plans start at $21/month (Basic, 3,250 API calls) and include SDXL, SD 1.5, SD 3 Medium, ControlNet, and inpainting. Popular models stay loaded on running workers; a rarely used community checkpoint can take a few minutes to load on its first request.

Between about $0.0015 and $0.08 per image, depending on the model and your volume. Stability AI bills credits at $0.01 each: SDXL 1.0 from $0.009 per image, SD 3.5 Medium $0.035, SD 3.5 Large $0.065 and Stable Image Ultra $0.08. Replicate bills SDXL by GPU time at about $0.0026 per image and SD 3.5 Large at $0.065. ModelsLab is $0.0047 per SDXL or SD 1.5 image on the $47 Standard plan, and the $149 Open Source Unlimited plan works out to $0.0015 per image at 100,000 images a month. Prices checked 2026-09-27.

Stability AI sells credits at $0.01 each, in $10 steps. On 2026-09-27 its pricing page listed SDXL 1.0 from 0.9 credits ($0.009) per 1024×1024 image, Stable Image Core 3 credits ($0.03), SD 3.5 Medium 3.5 ($0.035), SD 3.5 Large Turbo 4 ($0.04), SD 3.5 Large 6.5 ($0.065) and Stable Image Ultra 8 ($0.08).

For SDXL, yes. Replicate bills SDXL by GPU time at about $0.0026 per image, and ModelsLab is $0.0047 per image on the $47 Standard plan, against $0.009 on Stability AI. Replicate is the cheapest per image up to about 57,000 images a month; above that, the $149 ModelsLab Open Source Unlimited plan costs less because it has no per-image charge. For SD 3.5 Large, Stability AI and Replicate list $0.065 per image and fal $0.065 per megapixel. Prices checked 2026-09-27.

No. ModelsLab hosts SDXL, SD 1.5, SD 3 Medium and 10,000+ community checkpoints built on them, but not SD 3.5. For SD 3.5 Large, Large Turbo or Medium, use Stability AI, Replicate or fal.
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