Andrew Adams
Andrew Adams·Co-Founder & Operations at Wireflow

Stable Diffusion API

Access Stable Diffusion models through a simple REST API with no GPU infrastructure to manage

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Stable Diffusion API

While developing Wireflow's stable diffusion api pipeline, we processed 750+ test generations across multiple AI models to find the configurations that produce the most reliable results. This workflow packages those findings.

Built on 750+ internal test generations during development
8+ AI models benchmarked for optimal output quality
20+ configurations tested to find the best defaults

Why Use a Hosted Stable Diffusion API

Running Stable Diffusion locally requires a capable GPU, driver management, and model-weight downloads that can exceed 6 GB per checkpoint. A hosted API removes that overhead entirely. You send a prompt, receive a generated image, and pay only for the compute you use. Wireflow routes requests to optimized inference clusters so cold-start latency stays under two seconds for most SD 3.5 calls.

Beyond raw generation, a hosted endpoint lets you version-lock checkpoints, swap models without redeploying your app, and monitor usage through a single dashboard. Teams building SaaS products benefit the most because they can embed image generation behind their own UI without exposing infrastructure complexity to end users.

Key Capabilities

🎨

Text-to-Image Generation

Send a text prompt and receive a high-resolution image from SD 3.5, SDXL, or community fine-tunes.

🔄

Image-to-Image Transforms

Pass a reference image with a prompt to apply style transfer, inpainting, or outpainting edits.

⚡

Low-Latency Inference

Optimized clusters deliver results in under two seconds for turbo checkpoints with batch support.

🔗

REST and Webhook Delivery

Call the API synchronously for single images or use webhooks for large batch jobs.

📊

Usage-Based Pricing

Pay per image generated with no monthly minimums, idle GPU fees, or long-term commitments.

🛠️

Multi-Model Switching

Swap between SD 3.5 Large, Medium, Turbo, or custom LoRA checkpoints with one parameter change.

More Than Just Stable Diffusion API

Swap Models Instantly

Switch between Stable Diffusion, Flux, or Nano Banana with a single parameter. Explore the Flux Pro API for photorealistic outputs.

Swap Models Instantly

Upscale After Generation

Pipe SD outputs into a 4x upscaler to hit print-quality resolution. The ClarityAI upscaler API handles this in one node.

Upscale After Generation

Batch Process at Scale

Queue hundreds of prompts and receive results via webhook. Learn patterns in the batch image generation API guide.

Batch Process at Scale

Built for SaaS Embedding

White-label the generation endpoint behind your own product UI. See how the AI generation API for SaaS apps simplifies integration.

Built for SaaS Embedding

Transparent Pay-Per-Use

No idle GPU costs or reserved instances. Check the usage-based AI API pricing model to estimate your spend.

Transparent Pay-Per-Use
Multi-Model

Stable diffusion api Workflows

Visual Builder

No Code Required

Production Ready

API & Batch Processing

FAQs

What is a Stable Diffusion API?
A Stable Diffusion API is a hosted REST endpoint that runs SD model inference on cloud GPUs. You send a text prompt and receive a generated image without managing any local hardware or model weights.
Which Stable Diffusion versions does Wireflow support?
Wireflow supports SD 3.5 Large, SD 3.5 Large Turbo, SD 3.5 Medium, and SDXL. You can also load community fine-tunes and LoRA adapters through the same endpoint.
How much does the Stable Diffusion API cost?
Pricing is pay-per-image with no monthly minimums. Costs vary by model and resolution, starting around $0.003 per image for turbo checkpoints. Volume discounts apply at higher tiers.
Can I use custom LoRA models with the API?
Yes. Upload your LoRA weights through the dashboard or reference a public Hugging Face repository. The API merges them at inference time with no extra configuration.
What is the average latency for image generation?
SD 3.5 Large Turbo returns images in under two seconds. Full SD 3.5 Large at higher step counts typically completes in three to five seconds depending on resolution.
Does the API support inpainting and outpainting?
Yes. Pass a mask image alongside your prompt to run inpainting. Outpainting works by extending the canvas dimensions and providing a partial image as input.
How do I handle large batch jobs?
Submit prompts as a batch array and register a webhook URL. The API processes images asynchronously and POSTs results to your webhook as each image completes.
Is there a free tier for testing?
New accounts receive starter credits that cover approximately 50 to 100 test generations. No credit card is required to begin testing the API during the trial period.

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Andrew Adams

Written by

Andrew Adams

Co-Founder & Operations at Wireflow

Runs client operations and content strategy at Wireflow. Works directly with creative teams and agencies to build production AI workflows.

Content StrategyClient Operations

Start Generating with the Stable Diffusion API

Access SD 3.5 and other models through a single REST endpoint. No GPU setup, no model downloads. Pay only for what you generate.

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