Stability AI /

Stable Diffusion 3.5 Large Turbo

accounts/fireworks/models/stable-diffusion-3p5-large-turbo

ServerlessImage

Stable Diffusion 3.5 Large Turbo is a Multimodal Diffusion Transformer (MMDiT) text-to-image model with Adversarial Diffusion Distillation (ADD) that features improved performance in image quality, typography, complex prompt understanding, and resource-efficiency, with a focus on fewer inference steps. Powered By Stability AI. Stable Diffusion 3.5 Large Turbo is deployed as a Flumina app. See for more details: https://huggingface.co/fireworks-ai/stable-diffusion-3.5-large-turbo-flumina

Serverless API

Stable Diffusion 3.5 Large Turbo is available via Fireworks' serverless image API, where you pay per image step (per generated image) and do not need to configure GPUs.

The Fireworks image generation API can be called by making HTTP requests from any language. See the below API examples to see how to call it. Also check out the Flumina repo linked above for full API details and to see the implementation code.

Try it

API Examples

Generate a model response using the image endpoint of stable-diffusion-3p5-large-turbo. API reference

import requests

url = "https://api.fireworks.ai/inference/v1/workflows/accounts/fireworks/models/accounts/fireworks/models/stable-diffusion-3p5-large-turbo/text_to_image"
headers = {
    "Content-Type": "application/json",
    "Accept": "image/jpeg",
    "Authorization": "Bearer $API_KEY",
}
data = {
    "prompt": "A beautiful sunset over the ocean"
}

response = requests.post(url, headers=headers, json=data)

if response.status_code == 200:
    with open("a.jpg", "wb") as f:
        f.write(response.content)
    print("Image saved as a.jpg")
else:
    print("Error:", response.status_code, response.text)

On-demand deployments

On-demand deployments allow you to use Stable Diffusion 3.5 Large Turbo on dedicated GPUs with Fireworks' high-performance serving stack with high reliability and no rate limits.

See the On-demand deployments guide for details.

Deploy this model