FLUX.1 Redux

Generiranje slikaDostupno
od Black Forest LabsID modela: flux-1-redux

FLUX image-variation adapter. Generate variations and remixes from a reference image.

Cijena
0,0036 USD/slika
Ulaz → izlaz
Tekst → Slika
Razvojni inženjer
Black Forest Labs
Ažurirano
23. septembar 2026.
01

Playground

Isprobaj FLUX.1 Redux

Nema obrasca za unos

0,0036 USD/slika

Za ovaj model još nema obrasca za unos

Njegovi unosi još nisu dokumentirani. Kako bi se izbjeglo neuspješno pokretanje zbog pogrešnog unosa, ovdje ne nudimo obrazac. Umjesto toga odaberi usporediv model.

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 FLUX.1 ReduxOpen full size
    InputInput

    No text prompt: the model only takes the input shown.

    Settings

    aspect_ratio
    3:2
  • Example output 2 from FLUX.1 ReduxOpen full size
    InputInput

    No text prompt: the model only takes the input shown.

    Settings

    aspect_ratio
    1:1
03

O FLUX.1 Redux

UkratkoStanje: 23. septembar 2026.

FLUX.1 Redux je model od Black Forest Labs iz kategorije Generiranje slika. Na Railwailu, FLUX.1 Redux košta 0,0036 USD po slici.

Pozadina

O Black Forest Labs

Osnovano 2024 · Freiburg, Germany

Black Forest Labs was founded in August 2024 in Freiburg, Germany by Robin Rombach, Patrick Esser, Andreas Blattmann and Dominik Lorenz, the original Stable Diffusion team. After raising a $31M seed round led by Andreessen Horowitz, the lab released the FLUX.1 family (pro, dev, schnell) and the FLUX.1 Tools (Fill, Canny, Depth, Redux). Their mission is to be the leading European open foundation-model lab for generative media.

Posjetite Black Forest Labs

Arhitektura

Rectified-flow DiT with image-embedding (Redux) conditioning for variation

FLUX.1 Redux is the image-to-image variation model in the FLUX.1 Tools suite. Rather than ControlNet-style structural conditioning, Redux uses an image encoder (a SigLIP-style vision transformer) to extract a dense embedding of the input image, which is then injected into the FLUX.1 DiT alongside the text embeddings via cross-attention. This is conceptually similar to IP-Adapter and Stable Diffusion's 'unCLIP': the result is a new image that captures the style, palette and high-level composition of the input but is regenerated from noise, producing diverse variations. Optionally a text prompt can steer the variation toward a different style or composition. The base backbone is the standard FLUX.1 rectified-flow DiT with T5-XXL and CLIP-L text encoders and a 16x VAE, sampled in 28-50 flow-matching steps.

Parametri
~12B (FLUX.1 dev backbone) plus image-encoder adapter
Kontekst
512 tokena

Mogućnosti

  • Image-to-image variation conditioned on a reference image
  • Optional text prompt to steer style or content of variations
  • Preserves overall composition and palette while regenerating details
  • Up to 2 MP output
  • Compatible with FLUX Tools Fill/Canny/Depth pipelines
  • Good for unCLIP-style 'more like this' workflows
  • Best for: design exploration, A/B variants, mood-board expansion, style-transfer-lite.

Obuka i licenca

Fine-tuned from FLUX.1 base weights using paired references and image-text data, with a SigLIP-style image encoder trained or adapted to produce conditioning embeddings.

Licenca: FLUX.1 Redux [dev] under the FLUX.1 [dev] non-commercial license; FLUX.1 Redux [pro] via API for commercial use.

Testiranje sigurnosti: Inherits FLUX.1 family safety filters; additional checks for NCII and IP-protected reference images.

Poznata ograničenja

  • Not pixel-faithful — output differs from reference
  • Cannot perform precise edits (use Fill for that)
  • Dev weights non-commercial only
  • Tends to homogenise unusual reference styles toward FLUX defaults
04

Cijene

Cijene u USD-u. Korištenje se naplaćuje iz unaprijed plaćenih kredita.
Po slici0,0036 USD po slici
  • 1 kredit = 0,01 USD

Kalkulator troškova

Kalkulator cijena

/ pokretanje

Ukupno

0,36 USD

36 kredita

Po pokretanju

0,0036 USD · 0,36 kredita

Fiksna cijena po pokretanju, poznata prije početka.

05

API

Pozovi FLUX.1 Redux sa svojim Railwail API ključem. Koristi ovaj ID modela u zahtjevu:

Nema provjeren primjer API-ja

Ulazi ovog modela još nisu dokumentirani.

06

Specifikacije

ID modela
flux-1-redux
Razvojni inženjer
Black Forest Labs
Ulaz
Tekst
Izlaz
Slika
Naplata
Fiksna cijena, poznata prije pokretanja
Veličina modela
~12B (FLUX.1 dev backbone) plus image-encoder adapter
Licenca
FLUX.1 Redux [dev] under the FLUX.1 [dev] non-commercial license; FLUX.1 Redux [pro] via API for commercial use.
Katalog ažuriran
23. septembar 2026.

Oznake

  • flux
  • black-forest-labs
  • image-edit
  • variation
  • image-to-image
  • remix
07

Primjena

Za što se koristi

  • Design exploration and mood-board expansion
  • A/B creative variants from a single hero image
  • Style transfer lite
  • Brand-asset variation generation
  • Concept-art iteration
  • Photo-collection coherence
08

Često postavljana pitanja

Što je FLUX.1 Redux?

FLUX.1 Redux je model od Black Forest Labs iz kategorije Generiranje slika.

Koliko stoji FLUX.1 Redux na Railwailu?

Na Railwailu, FLUX.1 Redux košta 0,0036 USD po slici. Cijena je poznata prije nego što se pokretanje počne. Korištenje se plaća iz unaprijed kupljenih kredita; 1 kredit jednaka je 0,01 USD.

Koliko je brz FLUX.1 Redux?

Za FLUX.1 Redux na Railwailu još nema dovoljno izmjerenih pokretanja da bi se navedlo vrijeme izvršavanja. Ovisi o unošenju, postavkama i opterećenju kod pružatelja.

Je li FLUX.1 Redux bolji od FLUX 1.1 Pro?

To ovisi o zadatku. FLUX.1 Redux (Black Forest Labs) i FLUX 1.1 Pro (Black Forest Labs) su oba modela iz kategorije Generiranje slika. Stranica za usporedbu prikazuje njihove cijene i specifikacije usporedno.

Usporedi FLUX.1 Redux i FLUX 1.1 Pro
09

Usporedivi modeli

Svi u ovoj kategoriji

Svi modeli preko jednog API-ja

Jedan API ključ za sve modele na Railwailu. Korištenje se naplaćuje iz unaprijed plaćenih kredita, 1 kredit = 0,01 USD.