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FLUX Schnell

BlackForestLabsReleased Aug 21, 2024black-forest-labs/flux-schnell
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FLUX.1 [schnell] is a 12-billion-parameter rectified flow transformer model for text-to-image generation, developed by Black Forest Labs. "Schnell" (German for "fast") is the speed-optimized variant of the FLUX.1 model family, distilled for rapid inference — it can generate high-quality images in as few as 1–4 diffusion steps, making it significantly faster than typical diffusion models while maintaining strong prompt adherence and image fidelity.

Context
4K
Max output
4K
Input /1M
—
Output /1M
$0.003/img
AcceptsTextProducesImage

Providers

FastRouter routes your requests to this provider. You can also bring your own key.

FAL AI logo
FAL AI
falai
Input /1M—
Output /1M$0.003/img
Context4K
Max output4K

Supported parameters

Request parameters you can send with this model.

Parameter
Type
FAL AI
Core (Sampling & basic generation)
nNumber of completions to generate.
number
1 to 4
seedSeed for deterministic sampling.
number
-
Other
acceleration
string
"none", "regular", "high"
enable_safety_checker
bool
true | false
guidance_scale
number
1 to 20
num_inference_steps
number
1 to 50
output_format
string
"jpeg", "png"
size
string
"square_hd", "square", "portrait_4_3", "portrait_16_9", "landscape_4_3", "landscape_16_9"
sync_mode
bool
true | false

Make your first API call

OpenAI-compatible. Point your SDK at FastRouter, or call the API directly.

Full API docs
Replace <FASTROUTER_API_KEY> with your key · Get your key →Install
OpenAI SDKHTTP
import base64
from openai import OpenAI
client = OpenAI(
api_key="<FASTROUTER_API_KEY>",
base_url="https://api.fastrouter.ai/api/v1"
)
img = client.images.generate(
model="black-forest-labs/flux-schnell",
prompt="A cute baby sea otter",
n=1,
size="1024x1024"
)
image_base64 = img.data[0].b64_json
image_bytes = base64.b64decode(image_base64)
with open("otter.png", "wb") as f:
f.write(image_bytes)

Frequently asked questions

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Model scores sourced from ArtificialAnalysis