fireworks /

Stable Diffusion 3.5 Large

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

ServerlessImage

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

Serverless API

Stable Diffusion 3.5 Large 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

Text to Image

Generate an image response for the given prompt.

import requests

url = "https://api.fireworks.ai/inference/v1/workflows/accounts/fireworks/models/stable-diffusion-3p5-large/text_to_image"
headers = {
    "Content-Type": "application/json",
    "Accept": "image/jpeg",
    "Authorization": "Bearer $API_KEY",
}
data = {
    "prompt": "",
    "aspect_ratio": "16:9",
    "guidance_scale": 4.5,
    "num_inference_steps": 28
}

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

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

On-demand deployments

On-demand deployments allow you to use Stable Diffusion 3.5 Large 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