AIモデル · flux

FLUX.2 Klein 9B

Fast 4-step FLUX.2 [klein] for flexible, controlled image generation.

10 CR / RUN · flux · 4.5M RUNS

FLUX.2 Klein 9B

概要

flux-2-klein-9b is a 4-step distilled version of FLUX.2 [klein], built as a foundation model for flexibility and control. It’s a strong fit for creators who want to move quickly while still shaping outputs with precision.

With support for prompts, image inputs, seed control, aspect ratio, megapixel settings, and output quality options, this model gives you practical levers for both experimentation and repeatable production workflows.

強み

  • 014-step distilled workflow for fast image generation
  • 02Designed for flexibility and control
  • 03Supports both text prompts and image inputs
  • 04Seed parameter helps with repeatable results
  • 05Adjustable aspect ratio and megapixel settings
  • 06Output format and quality controls for delivery needs

プロンプト例

A cinematic portrait of a futuristic explorer in a desert at sunrise, detailed clothing, dramatic lighting, high contrast

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Minimalist product photo of a matte black smartwatch on a clean studio background, soft reflections, premium commercial look

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Fantasy city built into giant cliffs above the ocean, golden hour light, atmospheric depth, intricate architecture

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Editorial fashion scene with bold colors, geometric set design, full-body pose, polished magazine aesthetic

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活用例

Rapid concept generation

Use the model’s 4-step distilled design to explore visual directions quickly. It’s well suited to fast ideation when you want to test multiple prompts and compositions.

Controlled creative workflows

Fine-tune outputs with seed, aspect ratio, megapixels, and quality settings. This makes it easier to balance creative exploration with more consistent results.

Image-guided creation

Use image inputs alongside text prompts to steer generation more directly. This can help when you want outputs to follow an existing visual reference or starting point.

Production-ready exports

Choose output format and quality settings to match your delivery needs. That flexibility is useful for adapting results to different publishing or workflow requirements.

よくある質問

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