AuraFlow v0.3

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

BildegenereringTilgjengelig

av Communityauraflow-v0-3

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

Prøv det Få API-nøkkel Sammenlign

Pris: ≈ 0,0648 USD/kjøring
Seiteverholdstall: 1:1, 16:9, 9:16, 4:3, 3:4
Oppløsning: 1024×1024, 1536×1536
Input → output: Tekst → Bilde
Utvikler: Community
Oppdatert: 23. september 2026

Playground

Prøv AuraFlow v0.3

Inndata og resultat

≈ 0,0648 USD/kjøring

Prompt

0 / 2 000

Size(valgfritt)

Sideforhold(valgfritt)

Avanserte innstillinger (4)

Negativ prompt(valgfritt)

0 / 1 000

Seed(valgfritt)

Guidance Scale(valgfritt)1–20

Trinn(valgfritt)1–100

⌘/Ctrl + Enter

Resultat

Bildet ditt vises her.

Denne kjøringen

ca. 0,0648 USD · 6,48 credits

0,1944 USD (19,44 credits) reserveres ved start; faktisk GPU-tid faktureres.

For kontoer uten tidligere kjøp: kjøringer over 2 credits trenger påfyll.

Ny her?

10 gratis credits (0,10 USD) når du registrerer deg med Google

Kan brukes 24 timer etter registrering, opptil 5 kjøringer per dag og maksimalt 2 credits per kjøring. Andre påloggingsmetoder starter uten 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 sagtPer 23. september 2026

AuraFlow v0.3 er en modell fra Community i kategorien Bildegenerering. På Railwail koster AuraFlow v0.3 ≈ 0,0648 USD per kjøring. Støttede bildeformat: 1:1, 16:9, 9:16, 4:3 og 3:4.

Bakgrunn

Om fal.ai (AuraFlow)

Grunnlagt 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.

Besøk 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.

Parametere: 6.8B parameters
Kontekst: 256 tokens

Evner

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.

Trening og lisens

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.

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

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

Kjente begrensninger

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

Forskningsartikler

Priser

Priser i amerikanske dollar. Bruk belastes fra forhåndsbetalt kreditt.

Typisk kjøring (≈ 39 s på A100 (80GB))	0,0648 USD per kjøring
GPU-tid (A100 (80GB))	0,00168 USD per GPU-sekund

Faktureres etter GPU-tiden kjøringen faktisk tar. Når kjøringen starter, blir 3× den typiske prisen reservert fra saldoen din og gjort opp etterpå.
1 kreditt = 0,01 USD

Kostnadsberegner

Prisberegner

GPU-sekunder per kjøring

Typisk ifølge leverandøren: ca. 38,6 s

Kjøringer

Totalt

6,48 USD

648 credits

Per kjøring

0,0648 USD · 6,48 credits

Fakturert etter faktisk GPU-tid; dette er et estimat.

API

Ring AuraFlow v0.3 med din Railwail API-nøkkel. Bruk denne modell-IDen i forespørselen:

auraflow-v0-3API-dokumentasjon Få en API-nøkkel

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);

Sett nøkkelen din som RAILWAIL_API_KEYOpprett API-nøkkel

Spesifikasjoner

Modell-ID: auraflow-v0-3
Utvikler: Community
Kategori: Bildegenerering
Inndata: Tekst
Utdata: Bilde
Sideforhold: 1:1, 16:9, 9:16, 4:3, 3:4
Oppløsning: 1024×1024, 1536×1536
Fakturering: Etter bruk (tokens eller GPU-tid)
Modellstørrelse: 6.8B parameters
Lisens: Apache 2.0 — fully open, commercial use, redistribution and derivative works all permitted.
Katalogoppføring oppdatert: 23. september 2026

Inndataparametere

Inndataer og innstillinger fra modellens inndataskjema. Eksemplet i API-delen viser hvilke av dem APIen godtar.

ParameterTypeStandardTillatte verdier

promptobligatorisk
What to generate
Type: Tekst
Standard: –
Tillatte verdier: opptil 2 000 tegn
seed
Optional seed for reproducibility
Type: Heltall
Standard: –
Tillatte verdier: –
size
Type: Valg
Standard: 1024x1024
Tillatte verdier: 1024x1024 eller 1536x1536
aspect_ratio
Type: Valg
Standard: 1:1
Tillatte verdier: 1:1, 16:9, 9:16, 4:3 eller 3:4
guidance_scale
Type: Tall
Standard: 3.5
Tillatte verdier: 1 til 20
negative_prompt
What to avoid
Type: Tekst
Standard: –
Tillatte verdier: opptil 1 000 tegn
num_inference_steps
Type: Heltall
Standard: 25
Tillatte verdier: 1 til 100

Merkelapper

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

Brukstilfeller

Hva det brukes til

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

Relaterte veiledninger

Text to Image Models

Alle modeller i Bildegenerering

Ofte stilte spørsmål

Hva er AuraFlow v0.3?

AuraFlow v0.3 er en modell fra Community i kategorien Bildegenerering. På Railwail kan du kalle den med en API-nøkkel gjennom Railwail API.

Hvor mye koster AuraFlow v0.3 på Railwail?

På Railwail koster AuraFlow v0.3 ≈ 0,0648 USD per kjøring. Du betaler for det hver forespørsel faktisk bruker. Bruk betales fra forhåndskjøpte kreditter; 1 kreditt tilsvarer 0,01 USD.

Hvilke innstillinger støtter AuraFlow v0.3?

I henhold til inndataskjemaet kjenner AuraFlow v0.3 disse parametrene: prompt (opptil 2 000 tegn), seed, size (1024x1024 eller 1536x1536), aspect_ratio (1:1, 16:9, 9:16, 4:3 eller 3:4), guidance_scale (1 til 20), negative_prompt (opptil 1 000 tegn) og num_inference_steps (1 til 100).

Hvor rask er AuraFlow v0.3?

Det finnes ennå ikke nok målte kjøringer av AuraFlow v0.3 på Railwail til å angi en kjøretid. Det avhenger av inndataene, innstillingene og belastningen hos leverandøren.

Er AuraFlow v0.3 bedre enn FLUX 1.1 Pro?

Det avhenger av oppgaven. AuraFlow v0.3 (Community) og FLUX 1.1 Pro (Black Forest Labs) er begge modeller i kategorien Bildegenerering. Sammenligningssiden viser prisene og spesifikasjonene deres side ved side.

Sammenlign AuraFlow v0.3 og FLUX 1.1 Pro

Hvordan bruker jeg AuraFlow v0.3 gjennom API-en?

Opprett en Railwail API-nøkkel og send forespørselen din med modell-ID-en auraflow-v0-3. Kodeeksempler for curl, Python og JavaScript finnes i API-delen av denne siden.

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Bruk AuraFlow v0.3 via APIen

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