AuraFlow v0.3

Name: AuraFlow v0.3
Brand: Community
SKU: auraflow-v0-3
Price: 0.0648 USD
Availability: InStock

Image generationAvailable

by Communityauraflow-v0-3

fal.ai's fully open-source 6.8B flow-based text-to-image model. Up to 1536x1536 resolution.

Try it Get API key Compare

Price: ≈ $0.0648/run
Aspect ratios: 1:1, 16:9, 9:16, 4:3, 3:4
Resolution: 1024×1024, 1536×1536
Input → output: Text → Image
Developer: Community
Updated: September 23, 2026

Playground

Try AuraFlow v0.3

Input & output

≈ $0.0648/run

Prompt

0 / 2,000

What to generate

Size(optional)

Aspect ratio(optional)

Advanced settings (4)

Negative prompt(optional)

0 / 1,000

What to avoid

Seed(optional)

Optional seed for reproducibility

Guidance scale(optional)1–20

Steps(optional)1–100

⌘/Ctrl + Enter

Output

Your image appears here.

This run

about $0.0648 · 6.48 credits

$0.1944 (19.44 credits) are reserved at the start; the actual GPU time is billed.

For accounts without a purchase: runs above 2 credits need a top-up.

New here?

10 free credits ($0.10) when you sign up with Google

Usable 24 hours after sign-up, up to 5 runs per day and at most 2 credits per run. Other sign-in methods start without credits.

Examples

Real outputs from the public examples of this model on Replicate, with the prompt and settings that produced them. They were not generated live on this page.

Open full size
Prompt
a stylized cartoon image, yellow background, a smiling turtle holding a pizza, the turtle is wearing a white and brown cap, large eyes and a friendly expression, the turtle is standing on its hind legs, the pizza is held in both of its front legs, small clouds and trees on either side of the turtle, the text "Turtle Pizza" is in large brown letters at the top, the text "No More Hungry" at the bottom in brown, the overall style is retro with halftone shading
Settings
negative_prompt: ugly, broken
width

1024
height

1024
Open full size
Prompt
A stylized cartoon image, pastel pink background, a grinning penguin holding an ice cream cone, the penguin is wearing a colorful striped scarf, large eyes and an excited expression, the penguin is waddling on its feet, the ice cream cone is held in one flipper, small icebergs and snowflakes on either side of the penguin, the text "Penguin Scoops" is in large blue letters at the top, the text "Chill Out & Enjoy" at the bottom in blue, the overall style is retro with halftone shading
Settings
negative_prompt: ugly, broken
width

1024
height

1024
Open full size
Prompt
a close-up portrait photo of a cute cat sitting on a purple armchair
Settings
negative_prompt: ugly, broken
width

1024
height

1024

About AuraFlow v0.3

TL;DRAs of September 23, 2026

AuraFlow v0.3 is a model by Community in the Image generation category. On Railwail, AuraFlow v0.3 costs ≈ $0.0648 per run. Supported aspect ratios: 1:1, 16:9, 9:16, 4:3, and 3:4.

Background

About fal.ai (AuraFlow)

Founded 2021 · New York, USA

AuraFlow is an open-source flow-matching text-to-image model developed primarily by Simo Ryu (the creator of LoRA fine-tuning) in collaboration with fal.ai (a generative-AI inference platform based in New York, founded in 2021 by Burkay Gur, Gorkem Yurtseven and Batuhan Taskaya). After Stability AI announced restrictive licensing changes to Stable Diffusion 3 in mid-2024, Simo Ryu started AuraFlow as a fully open, transparently licensed alternative. fal.ai sponsored the compute. AuraFlow v0.1 launched in July 2024, with v0.2 and v0.3 (August-September 2024) bringing meaningful quality improvements. The project's stated goal is to give the open community a state-of-the-art flow-matching base that is fully Apache 2.0 licensed and can be freely used and fine-tuned for any purpose.

Visit fal.ai (AuraFlow)

Architecture

Rectified-flow Diffusion Transformer (DiT) — open-source

AuraFlow v0.3 is the third public checkpoint in the open-source AuraFlow project led by Simo Ryu and sponsored by fal.ai. The architecture is a Diffusion Transformer (DiT) of 6.8B parameters trained with the rectified-flow / flow-matching objective from the SD3 paper (Esser et al. 2024) and the FLUX.1 family. AuraFlow uses a single T5-XXL text encoder (rather than the dual-encoder design of SDXL or the triple-encoder design of SD 3.5) and operates in the latent space of a learned 16x VAE. AuraFlow was the first fully open-source large-scale flow-matching text-to-image model after the closed-source SD3 release; the v0.3 checkpoint introduced substantial quality improvements over v0.2 thanks to additional pretraining tokens, refined data curation and an updated noise schedule. The model and weights are released under the permissive Apache 2.0 license, including commercial redistribution and derivative works.

Parameters: 6.8B parameters
Context: 256 tokens

Capabilities

Fully Apache 2.0 — commercial use, redistribution and derivatives permitted
6.8B-parameter rectified-flow DiT — one of the largest open models
T5-XXL text encoder for strong long-prompt adherence
1024x1024 native resolution
Self-hostable on consumer GPUs with quantisation
Strong fine-tuning base for community LoRAs and brand models
Compatible with Diffusers and ComfyUI
Best for: open community fine-tuning, research, fully unrestricted commercial use, on-prem services.

Training & license

Trained on a curated subset of publicly available image-text data. Simo Ryu has documented dataset choices and ablations publicly, prioritising transparent provenance over closed data.

License: Apache 2.0 — fully open, commercial use, redistribution and derivative works all permitted.

Safety testing: No formal red-team report. The open weights ship without an integrated safety classifier and downstream operators are expected to add their own moderation.

Known limitations

Quality below FLUX 1.1 [pro] and SD 3.5 Large
Smaller training compute than commercial peers
Hands, text and complex anatomy imperfect
Open weights have no built-in safety filter

Research papers

Pricing

Prices in US dollars. Usage is charged from prepaid credits.

Typical run (≈ 39 s on A100 (80GB))	$0.0648 per run
GPU time (A100 (80GB))	$0.00168 per GPU second

Billed by the GPU time the run actually takes. When the run starts, 3× the typical price is reserved from your balance and settled afterwards.
1 credit = $0.01

Cost calculator

Price calculator

GPU seconds per run

Typical according to the provider: about 38.6 s

Runs

Total

$6.48

648 credits

Per run

$0.0648 · 6.48 credits

Billed by the actual GPU time; this is an estimate.

API

Call AuraFlow v0.3 with your Railwail API key. Use this model ID in the request:

auraflow-v0-3API documentation Get an API key

curl https://railwail.com/api/v1/images/generations \
  -H "Authorization: Bearer $RAILWAIL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "auraflow-v0-3",
    "prompt": "A lighthouse on a rocky coast at sunset, photorealistic"
  }'

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["RAILWAIL_API_KEY"],
    base_url="https://railwail.com/api/v1",
)

image = client.images.generate(
    model="auraflow-v0-3",
    prompt="A lighthouse on a rocky coast at sunset, photorealistic",
)

print(image.data[0].url)

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.RAILWAIL_API_KEY,
  baseURL: "https://railwail.com/api/v1",
});

const image = await client.images.generate({
  model: "auraflow-v0-3",
  prompt: "A lighthouse on a rocky coast at sunset, photorealistic"
});

console.log(image.data[0].url);

// npm install railwail
import railwail from "railwail";

const rw = railwail(process.env.RAILWAIL_API_KEY);

const res = await rw.image("auraflow-v0-3", "A lighthouse on a rocky coast at sunset, photorealistic");

console.log(res.data[0].url);

Set your key as RAILWAIL_API_KEYCreate API key

Specifications

Model ID: auraflow-v0-3
Developer: Community
Category: Image generation
Input: Text
Output: Image
Aspect ratios: 1:1, 16:9, 9:16, 4:3, 3:4
Resolution: 1024×1024, 1536×1536
Billing: By usage (tokens or GPU time)
Model size: 6.8B parameters
License: Apache 2.0 — fully open, commercial use, redistribution and derivative works all permitted.
Catalog entry updated: September 23, 2026

Input parameters

Inputs and settings from the model's input schema. The example in the API section shows which of them the API accepts.

ParameterTypeDefaultAllowed values

promptrequired
What to generate
Type: Text
Default: –
Allowed values: up to 2,000 characters
seed
Optional seed for reproducibility
Type: Integer
Default: –
Allowed values: –
size
Type: Choice
Default: 1024x1024
Allowed values: 1024x1024 or 1536x1536
aspect_ratio
Type: Choice
Default: 1:1
Allowed values: 1:1, 16:9, 9:16, 4:3, or 3:4
guidance_scale
Type: Number
Default: 3.5
Allowed values: 1 to 20
negative_prompt
What to avoid
Type: Text
Default: –
Allowed values: up to 1,000 characters
num_inference_steps
Type: Integer
Default: 25
Allowed values: 1 to 100

Use cases

What it is used for

Open community fine-tuning
Fully unrestricted commercial deployments
Research and academic experiments
Custom brand-style LoRA training
On-prem creative pipelines
Educational demos of flow-matching

Related guides

Text to Image Models

All models in Image generation

Frequently asked questions

What is AuraFlow v0.3?

AuraFlow v0.3 is a model by Community in the Image generation category. On Railwail you can call it with an API key through the Railwail API.

How much does AuraFlow v0.3 cost on Railwail?

On Railwail, AuraFlow v0.3 costs ≈ $0.0648 per run. You are charged for what each request actually uses. Usage is paid from prepaid credits; 1 credit equals $0.01.

Which settings does AuraFlow v0.3 support?

According to its input schema, AuraFlow v0.3 knows these parameters: prompt (up to 2,000 characters), seed, size (1024x1024 or 1536x1536), aspect_ratio (1:1, 16:9, 9:16, 4:3, or 3:4), guidance_scale (1 to 20), negative_prompt (up to 1,000 characters), and num_inference_steps (1 to 100).

How fast is AuraFlow v0.3?

There are not enough measured runs of AuraFlow v0.3 on Railwail yet to state a run time. It depends on the input, the settings and the load at the provider.

Is AuraFlow v0.3 better than FLUX 1.1 Pro?

That depends on the task. AuraFlow v0.3 (Community) and FLUX 1.1 Pro (Black Forest Labs) are both models in the Image generation category. The comparison page shows their prices and specifications side by side.

Compare AuraFlow v0.3 and FLUX 1.1 Pro

How do I use AuraFlow v0.3 through the API?

Create a Railwail API key and send your request with the model ID auraflow-v0-3. Code examples for curl, Python and JavaScript are in the API section of this page.

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Compare AuraFlow v0.3 vs. Icons (SDXL Flat Pop)
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Use AuraFlow v0.3 via the API

One API key for every model on Railwail. Usage is charged from prepaid credits, 1 credit = $0.01.

Get API key Browse all models