Modèles d'IA · generic

FLUX.2 Dev

High-quality image generation and editing with reference image support.

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10 CR / RUN · generic · 2.8M RUNS

FLUX.2 Dev

À propos

flux-2-dev is built for high-quality image generation and image editing, giving creators a flexible way to produce visuals from prompts or guide results with reference images.

With controls for size, aspect ratio, seed, output format, and output quality, it fits both quick experiments and more deliberate creative workflows. An optional go_fast setting adds flexibility when speed matters.

Points forts

  • 01Supports both image generation and editing
  • 02Can use reference images to guide results
  • 03Flexible control over width, height, and aspect ratio
  • 04Seed support for repeatable generations
  • 05Adjustable output format and quality
  • 06Optional fast mode for quicker iteration

Prompts d'exemple

A cinematic portrait of a futuristic explorer in a desert at sunset, dramatic lighting, ultra-detailed

Essayer ce prompt

Edit a product photo into a clean luxury ad style with soft studio lighting and a minimal background

Essayer ce prompt

A cozy reading nook in a modern apartment, warm morning light, natural materials, editorial interior design

Essayer ce prompt

Create a fantasy forest scene guided by the reference image, glowing plants, misty atmosphere, rich color

Essayer ce prompt

Cas d'usage

Concept art creation

Generate polished visual concepts from text prompts for characters, environments, and scenes. Reference images can help steer the style or composition.

Image editing workflows

Use the model to transform or refine existing visuals with prompt-based direction. This is useful when you want to iterate on an image instead of starting from scratch.

Marketing visuals

Create campaign-ready imagery for ads, social posts, and branded content. Output controls make it easier to tailor assets to different formats.

Rapid creative exploration

Test multiple ideas quickly with prompt variations, seeds, and optional fast mode. It's a practical fit for early-stage ideation and iteration.

FAQ

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