AuraFlow v0.3

Generare imaginiDisponibil
de CommunityID model: auraflow-v0-3

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

Preț
≈ 0,0648 USD/rulare
Rapoarte de aspect
1:1, 16:9, 9:16, 4:3, 3:4
Rezoluție
1024×1024, 1536×1536
Intrare → ieșire
Text → Imagine
Dezvoltator
Community
Actualizat
23 septembrie 2026
01

Playground

Încearcă AuraFlow v0.3

Intrare & rezultat

≈ 0,0648 USD/rulare
Încearcă AuraFlow v0.3

0 / 2.000

Setări avansate (4)

0 / 1.000

Rezultat
Imaginea ta apare aici.

Această rulare

aproximativ 0,0648 USD · 6,48 credite

La start se rezervă 0,1944 USD (19,44 credite); se factureaza timpul GPU real.

Pentru conturi fără achiziție anterioară: rulările peste 2 credite necesită o reîncărcare.

Nou aici?

10 credite gratuite (0,10 USD) când te înregistrezi cu Google

Utilizabil 24 ore după înregistrare, până la 5 rulări pe zi și maximum 2 credite pe rulare. Alte metode de conectare încep fără credite.

02

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.
  • Example output 1 from AuraFlow v0.3: a stylized cartoon image, yellow background, a smiling turtle holding a pizza, the turtle is wearing a white and brown cap, large eyes and aOpen 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
  • Example output 2 from AuraFlow v0.3: A stylized cartoon image, pastel pink background, a grinning penguin holding an ice cream cone, the penguin is wearing a colorful striped scOpen 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
  • Example output 3 from AuraFlow v0.3: a close-up portrait photo of a cute cat sitting on a purple armchairOpen 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
03

Despre AuraFlow v0.3

Pe scurtDin 23 septembrie 2026

AuraFlow v0.3 este un model de Community din categoria Generare imagini. Pe Railwail, AuraFlow v0.3 costă ≈ 0,0648 USD per rulare. Rapoarte de aspect acceptate: 1:1, 16:9, 9:16, 4:3 și 3:4.

Fundal

Despre fal.ai (AuraFlow)

Fondat 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.

Vizitează fal.ai (AuraFlow)

Arhitectură

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.

Parametri
6.8B parameters
Context
256 tokeni

Capabilități

  • 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.

Antrenament & licență

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.

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

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

Limitări cunoscute

  • 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
04

Prețuri

Prețuri în dolari americani. Utilizarea se percepe din credite prepay.
Rulare tipică (≈ 39 s pe A100 (80GB))0,0648 USD per rulare
Timp GPU (A100 (80GB))0,00168 USD per secundă GPU
  • Se facturează timpul GPU pe care îl necesită efectiv rularea. La pornire, se rezervă din soldul tău 3× prețul tipic și se decontează ulterior.
  • 1 credit = 0,01 USD

Calculator de costuri

Calculator de preț

s

Tipic conform furnizorului: aprox. 38,6 s

Total

6,48 USD

648 credite

Pe rulare

0,0648 USD · 6,48 credite

Se factură după timpul GPU real; aceasta este o estimare.

05

API

Apelează AuraFlow v0.3 cu cheia ta API Railwail. Folosește acest ID de model în cerere:
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"
  }'
Setează cheia ca RAILWAIL_API_KEYCreează cheie API
06

Specificații

ID model
auraflow-v0-3
Dezvoltator
Community
Intrare
Text
Ieșire
Imagine
Rapoarte de aspect
1:1, 16:9, 9:16, 4:3, 3:4
Rezoluție
1024×1024, 1536×1536
Facturare
După utilizare (tokeni sau timp GPU)
Dimensiune model
6.8B parameters
Licență
Apache 2.0 — fully open, commercial use, redistribution and derivative works all permitted.
Intrare catalog actualizată
23 septembrie 2026

Parametri de intrare

Intrări și setări din schema de intrare a modelului. Exemplul din secțiunea API arată care dintre ele acceptă API-ul.

  • promptobligatoriu

    What to generate

    Tip: Text
    Implicit: –
    Valori permise: până la 2.000 caractere
  • seed

    Optional seed for reproducibility

    Tip: Număr întreg
    Implicit: –
    Valori permise: –
  • size
    Tip: Alegere
    Implicit: 1024x1024
    Valori permise: 1024x1024 sau 1536x1536
  • aspect_ratio
    Tip: Alegere
    Implicit: 1:1
    Valori permise: 1:1, 16:9, 9:16, 4:3 sau 3:4
  • guidance_scale
    Tip: Număr
    Implicit: 3.5
    Valori permise: 1 până la 20
  • negative_prompt

    What to avoid

    Tip: Text
    Implicit: –
    Valori permise: până la 1.000 caractere
  • num_inference_steps
    Tip: Număr întreg
    Implicit: 25
    Valori permise: 1 până la 100

Etichete

  • auraflow
  • text-to-image
  • open-weights
  • flow-matching
  • pricing-tbd
07

Cazuri de utilizare

Pentru ce se folosește

  • 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
08

Întrebări frecvente

Ce este AuraFlow v0.3?

AuraFlow v0.3 este un model de Community din categoria Generare imagini. Pe Railwail îl poți apela cu o cheie API prin Railwail API.

Cât costă AuraFlow v0.3 pe Railwail?

Pe Railwail, AuraFlow v0.3 costă ≈ 0,0648 USD per rulare. Ți se percepe taxa pentru ceea ce fiecare cerere folosește efectiv. Utilizarea se plătește din credite prepay; 1 credit egal cu 0,01 USD.

Ce setări acceptă AuraFlow v0.3?

Conform schemei sale de intrare, AuraFlow v0.3 cunoaște acești parametri: prompt (până la 2.000 caractere), seed, size (1024x1024 sau 1536x1536), aspect_ratio (1:1, 16:9, 9:16, 4:3 sau 3:4), guidance_scale (1 până la 20), negative_prompt (până la 1.000 caractere) și num_inference_steps (1 până la 100).

Cât de rapid este AuraFlow v0.3?

Nu sunt suficiente rulări măsurate ale AuraFlow v0.3 pe Railwail încă pentru a indica un timp de rulare. Depinde de intrare, de setări și de sarcina la furnizor.

Este AuraFlow v0.3 mai bun decât FLUX 1.1 Pro?

Depinde de sarcină. AuraFlow v0.3 (Community) și FLUX 1.1 Pro (Black Forest Labs) sunt ambele modele din categoria Generare imagini. Pagina de comparație arată prețurile și specificațiile lor una lângă alta.

Compară AuraFlow v0.3 și FLUX 1.1 Pro

Cum folosesc AuraFlow v0.3 prin API?

Creează o cheie Railwail API și trimite cererea cu ID-ul modelului auraflow-v0-3. Exemple de cod pentru curl, Python și JavaScript sunt în secțiunea API a acestei pagini.

09
  • 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 USD/rulare

    85 % mai ieftin pe unitate

    Compară AuraFlow v0.3 vs. 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 USD/rulare

    30 % mai scump pe unitate

    Compară AuraFlow v0.3 vs. 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 USD/rulare

    92 % mai ieftin pe unitate

    Compară AuraFlow v0.3 vs. Sticker Maker

Folosește AuraFlow v0.3 prin API

O cheie API pentru fiecare model pe Railwail. Utilizarea se percepe din credite prepay, 1 credit = 0,01 USD.