AuraFlow v0.3

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

BildgenereringTillgänglig

av Communityauraflow-v0-3

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

Prova Hämta API-nyckel Jämför

Pris: ≈ 0,0648 US$/körning
Bildförhållanden: 1:1, 16:9, 9:16, 4:3, 3:4
Upplösning: 1024×1024, 1536×1536
Inmatning → utmatning: Text → Bild
Utvecklare: Community
Uppdaterad: 23 september 2026

Playground

Prova AuraFlow v0.3

Inmatning & resultat

≈ 0,0648 US$/körning

Prompt

0 / 2 000

Size(valfritt)

Bildförhållande(valfritt)

Avancerade inställningar (4)

Negativ prompt(valfritt)

0 / 1 000

Seed(valfritt)

Guidance Scale(valfritt)1–20

Steg(valfritt)1–100

⌘/Ctrl + Enter

Resultat

Din bild visas här.

Denna körning

ca. 0,0648 US$ · 6,48 credits

0,1944 US$ (19,44 credits) reserveras vid start; den faktiska GPU-tiden faktureras.

För konton utan tidigare köp: körningar över 2 credits kräver en påfyllning.

Ny här?

10 gratis credits (0,10 US$) när du registrerar dig med Google

Användbar 24 timmar efter registrering, upp till 5 körningar per dag och högst 2 credits per körning. Andra inloggningsmetoder startar utan 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

Om AuraFlow v0.3

Kort sagtFrån och med 23 september 2026

AuraFlow v0.3 är en modell av Community i kategorin Bildgenerering. På Railwail kostar AuraFlow v0.3 ≈ 0,0648 US$ per körning. Bildförhållanden som stöds: 1:1, 16:9, 9:16, 4:3 och 3:4.

Bakgrund

Om fal.ai (AuraFlow)

Grundat 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.

Besök fal.ai (AuraFlow)

Arkitektur

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.

Parameter: 6.8B parameters
Kontext: 256 tokens

Funktioner

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.

Träning & licens

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.

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

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

Kända begränsningar

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

Forskningsartiklar

Priser

Priser i US-dollar. Användningen debiteras från förbetald kredit.

Typisk körning (≈ 39 s på A100 (80GB))	0,0648 US$ per körning
GPU-tid (A100 (80GB))	0,00168 US$ per GPU-sekund

Faktureras enligt den GPU-tid som körningen faktiskt tar. När körningen startar reserveras 3× det typiska priset från ditt saldo och regleras efteråt.
1 kredit = 0,01 US$

Kostnadsräknare

Prisräknare

GPU-sekunder per körning

Typisk enligt leverantören: ca 38,6 s

Körningar

Totalt

6,48 US$

648 krediter

Per körning

0,0648 US$ · 6,48 krediter

Faktureras enligt faktisk GPU-tid; detta är en uppskattning.

API

Anropa AuraFlow v0.3 med din Railwail API-nyckel. Använd detta modell-ID i begäran:

auraflow-v0-3API-dokumentation Hämta API-nyckel

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);

Ange din nyckel som RAILWAIL_API_KEYSkapa API-nyckel

Specifikationer

Modell-ID: auraflow-v0-3
Utvecklare: Community
Kategori: Bildgenerering
Inmatning: Text
Utmatning: Bild
Bildförhållanden: 1:1, 16:9, 9:16, 4:3, 3:4
Upplösning: 1024×1024, 1536×1536
Fakturering: Efter användning (tokens eller GPU-tid)
Modellstorlek: 6.8B parameters
Licens: Apache 2.0 — fully open, commercial use, redistribution and derivative works all permitted.
Kataloginlägg uppdaterat: 23 september 2026

Indataparametrar

Inmatningar och inställningar från modellens indataschema. Exemplet i API-avsnittet visar vilka som API:et accepterar.

ParameterTypStandardTillåtna värden

promptobligatorisk
What to generate
Typ: Text
Standard: –
Tillåtna värden: upp till 2 000 tecken
seed
Optional seed for reproducibility
Typ: Heltal
Standard: –
Tillåtna värden: –
size
Typ: Val
Standard: 1024x1024
Tillåtna värden: 1024x1024 eller 1536x1536
aspect_ratio
Typ: Val
Standard: 1:1
Tillåtna värden: 1:1, 16:9, 9:16, 4:3 eller 3:4
guidance_scale
Typ: Tal
Standard: 3.5
Tillåtna värden: 1 till 20
negative_prompt
What to avoid
Typ: Text
Standard: –
Tillåtna värden: upp till 1 000 tecken
num_inference_steps
Typ: Heltal
Standard: 25
Tillåtna värden: 1 till 100

Taggar

auraflow
text-to-image
open-weights
flow-matching
pricing-tbd

Användningsfall

Vad det används till

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

Relaterade guider

Text to Image Models

Alla modeller i Bildgenerering

Vanliga frågor

Vad är AuraFlow v0.3?

AuraFlow v0.3 är en modell av Community i kategorin Bildgenerering. På Railwail kan du anropa den med en API-nyckel via Railwail API.

Vad kostar AuraFlow v0.3 på Railwail?

På Railwail kostar AuraFlow v0.3 ≈ 0,0648 US$ per körning. Du debiteras för det som varje begäran faktiskt använder. Användningen betalas från förbetald kredit; 1 kredit motsvarar 0,01 US$.

Vilka inställningar stöder AuraFlow v0.3?

Enligt sitt inmatningsschema känner AuraFlow v0.3 till dessa parametrar: prompt (upp till 2 000 tecken), seed, size (1024x1024 eller 1536x1536), aspect_ratio (1:1, 16:9, 9:16, 4:3 eller 3:4), guidance_scale (1 till 20), negative_prompt (upp till 1 000 tecken) och num_inference_steps (1 till 100).

Hur snabb är AuraFlow v0.3?

Det finns ännu inte tillräckligt många uppmätta körningar av AuraFlow v0.3 på Railwail för att ange en körningstid. Det beror på inmatningen, inställningarna och belastningen hos leverantören.

Är AuraFlow v0.3 bättre än FLUX 1.1 Pro?

Det beror på uppgiften. AuraFlow v0.3 (Community) och FLUX 1.1 Pro (Black Forest Labs) är båda modeller i kategorin Bildgenerering. Jämförelsesidan visar deras priser och specifikationer sida vid sida.

Jämför AuraFlow v0.3 och FLUX 1.1 Pro

Hur använder jag AuraFlow v0.3 via API:et?

Skapa en Railwail API-nyckel och skicka din begäran med modell-ID:t auraflow-v0-3. Kodexempel för curl, Python och JavaScript finns i API-avsnittet på denna sida.

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Använd AuraFlow v0.3 via API:et

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