AuraFlow v0.3

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

BilledgenereringTilgængelig

af 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-nøgle Sammenlign

Pris: ≈ 0,0648 US$/kørsel
Billedformat: 1:1, 16:9, 9:16, 4:3, 3:4
Opløsning: 1024×1024, 1536×1536
Input → output: Tekst → Billede
Udvikler: Community
Opdateret: 23. september 2026

Playground

Prøv AuraFlow v0.3

Input & resultat

≈ 0,0648 US$/kørsel

Prompt

0 / 2.000

Size(valgfrit)

Billedformat(valgfrit)

Avancerede indstillinger (4)

Negativ prompt(valgfrit)

0 / 1.000

Seed(valgfrit)

Guidance Scale(valgfrit)1–20

Trin(valgfrit)1–100

⌘/Ctrl + Enter

Resultat

Dit billede vises her.

Denne kørsel

ca. 0,0648 US$ · 6,48 credits

0,1944 US$ (19,44 credits) reserveres ved start; den faktiske GPU-tid faktureres.

For konti uden tidligere køb: kørsler over 2 credits kræver en opladning.

Ny her?

10 gratis credits (0,10 US$) når du tilmelder dig med Google

Kan bruges 24 timer efter tilmelding, op til 5 kørsler pr. dag og højst 2 credits pr. kørsel. Andre login-metoder starter uden 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 sagtFra 23. september 2026

AuraFlow v0.3 er en model af Community i kategorien Billedgenerering. På Railwail koster AuraFlow v0.3 ≈ 0,0648 US$ pr. kørsel. Understøttede billedformater: 1:1, 16:9, 9:16, 4:3 og 3:4.

Baggrund

Om fal.ai (AuraFlow)

Grundlagt 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.

Besøg 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.

Parametre: 6.8B parameters
Kontekst: 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.

Træning og 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.

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

Kendte begrænsninger

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 US-dollar. Forbrug debiteres fra forudbetalte credits.

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

Faktureres efter den GPU-tid, som kørslen faktisk tager. Når kørslen starter, reserveres 3× den typiske pris fra din saldo og afregnes efterfølgende.
1 kredit = 0,01 US$

Omkostningsberegner

Prisberegner

GPU-sekunder pr. kørsel

Typisk ifølge udbyderen: ca. 38,6 s

Kørsler

I alt

6,48 US$

648 credits

Pr. kørsel

0,0648 US$ · 6,48 credits

Fakturering efter faktisk GPU-tid; dette er et estimat.

API

Kald AuraFlow v0.3 med din Railwail API-nøgle. Brug dette model-ID i anmodningen:

auraflow-v0-3API-dokumentation Få en API-nøgle

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);

Indstil din nøgle som RAILWAIL_API_KEYOpret API-nøgle

Specifikationer

Model-ID: auraflow-v0-3
Udvikler: Community
Kategori: Billedgenerering
Input: Tekst
Output: Billede
Billedformat: 1:1, 16:9, 9:16, 4:3, 3:4
Opløsning: 1024×1024, 1536×1536
Fakturering: Efter forbrug (tokens eller GPU-tid)
Modelstørrelse: 6.8B parameters
Licens: Apache 2.0 — fully open, commercial use, redistribution and derivative works all permitted.
Katalogelement opdateret: 23. september 2026

Inputparametre

Inputs og indstillinger fra modellens inputskema. Eksemplet i API-afsnittet viser, hvilke af dem API'en accepterer.

ParameterTypeStandardTilladte værdier

promptpåkrævet
What to generate
Type: Tekst
Standard: –
Tilladte værdier: op til 2.000 tegn
seed
Optional seed for reproducibility
Type: Heltal
Standard: –
Tilladte værdier: –
size
Type: Valg
Standard: 1024x1024
Tilladte værdier: 1024x1024 eller 1536x1536
aspect_ratio
Type: Valg
Standard: 1:1
Tilladte værdier: 1:1, 16:9, 9:16, 4:3 eller 3:4
guidance_scale
Type: Tal
Standard: 3.5
Tilladte værdier: 1 til 20
negative_prompt
What to avoid
Type: Tekst
Standard: –
Tilladte værdier: op til 1.000 tegn
num_inference_steps
Type: Heltal
Standard: 25
Tilladte værdier: 1 til 100

Anvendelsestilfælde

Hvad det bruges 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

Relaterede vejledninger

Text to Image Models

Alle modeller i Billedgenerering

Ofte stillede spørgsmål

Hvad er AuraFlow v0.3?

AuraFlow v0.3 er en model fra Community i kategorien Billedgenerering. På Railwail kan du kalde den med en API-nøgle via Railwail API.

Hvad koster AuraFlow v0.3 på Railwail?

På Railwail koster AuraFlow v0.3 ≈ 0,0648 US$ pr. kørsel. Du betaler for det, som hver anmodning faktisk bruger. Forbrug betales fra forudbetalte credits; 1 credit svarer til 0,01 US$.

Hvilke indstillinger understøtter AuraFlow v0.3?

Ifølge dens inputskema kender AuraFlow v0.3 disse parametre: prompt (op til 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 (op til 1.000 tegn) og num_inference_steps (1 til 100).

Hvor hurtig er AuraFlow v0.3?

Der er endnu ikke nok målte kørsler af AuraFlow v0.3 på Railwail til at angive en udførelsestid. Det afhænger af inputtet, indstillingerne og belastningen hos provideren.

Er AuraFlow v0.3 bedre end FLUX 1.1 Pro?

Det afhænger af opgaven. AuraFlow v0.3 (Community) og FLUX 1.1 Pro (Black Forest Labs) er begge modeller i kategorien Billedgenerering. Sammenligningssiden viser deres priser og specifikationer side om side.

Sammenlign AuraFlow v0.3 og FLUX 1.1 Pro

Hvordan bruger jeg AuraFlow v0.3 via API'en?

Opret en Railwail API-nøgle og send din anmodning med model-ID'en auraflow-v0-3. Kodeeksempler til curl, Python og JavaScript findes i API-sektionen på denne side.

Sammenlignelige modeller

Alle i denne kategori

Icons (SDXL Flat Pop)Community
SDXL fine-tune by galleri5 for slick flat icons and pop constructivist graphics with thick edges. Trained on Bing generations, it produces clean single-subject icon art that suits app icons, badges and UI glyphs. Raster output, not true vector.
≈ 0,0094 US$/kørsel
85 % billigere pr. enhed
Sammenlign AuraFlow v0.3 og Icons (SDXL Flat Pop)
InstantIDCommunity
InstantID makes realistic portraits of a real person from a single reference photo without per-user training. Combines a face encoder with an IdentityNet adapter on SDXL to keep identity and pose while following a text prompt, so it is fast and tuning-free.
≈ 0,084 US$/kørsel
30 % dyrere pr. enhed
Sammenlign AuraFlow v0.3 og InstantID
Sticker MakerCommunity
fofr's sticker generator that outputs graphics with transparent backgrounds, so the result drops straight into chat apps or print sheets. Runs an SDXL-based pipeline at high speed (default 17 steps) and returns die-cut style art without manual background removal.
≈ 0,0055 US$/kørsel
92 % billigere pr. enhed
Sammenlign AuraFlow v0.3 og Sticker Maker

Brug AuraFlow v0.3 via API'en

En API-nøgle til alle modeller på Railwail. Forbrug debiteres fra forudbetalte credits, 1 credit = 0,01 US$.

Få API-nøgle Se alle modeller