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flux-3-image-klein 详情页 Hero 图:左侧暖光留白,右侧悬浮玻璃画板与彩色棱镜光晕,名称以发光立体字嵌入玻璃面板。

Black Forest Labs

FLUX 3 Image Klein

flux-3-image-klein

flux-3-image-klein

Try flux-3-image-klein

Input

Output

Fill in the parameters and run — results show up here.

Pricing

flux-3-image-klein per image

Specifications Unit Price
768 $0.0092
1K $0.0103
1.5K $0.0126
2K $0.016
4K $0.0412

Introduction coming soon

A detailed guide for this model is being prepared. Pricing, parameters and the API docs below are already available.

  • New model FLUX 3 Image Klein Now Available: Text-to-Image and Reference Editing

Frequently asked questions

View all FAQs →
  • Why do short prompts produce generic images?

    Short prompts give the model too little information, so it can only fill in the gaps based on common interpretations, which makes the results feel generic. Writing the prompt as a complete description is far more reliable: ① subject and appearance details ② scene and environment ③ lighting and color tone ④ composition and viewpoint ⑤ style and image-quality requirements. The prompt limit is 5000 characters, which is enough to spell out each item clearly.

  • How do I switch between text-to-image and image editing?

    The same model supports two usage modes; the only difference is whether reference images are passed. Omitting image_urls means text-to-image, generating solely from the prompt; passing image_urls switches to instruction-based editing, where the prompt must clearly state which parts of the reference image need to be modified and which need to be preserved. When editing, it is recommended to list each part to be changed and the desired effect one by one, rather than writing just a single sentence about the overall style.

  • How many reference images can be used at most?

    image_urls supports a maximum of 10 images and a minimum of 1; once reference images are passed in, it enters edit mode or multi-reference composition mode. For each image, you need to explain its role in the prompt, for example, the first image is the character, the second is the product, and the third is the background style. This upper limit is suitable for composition scenarios that require cross-image consistency of characters or products.

  • How do I control layout composition?

    Use the labels in the prompt together with the bbox JSON to specify element positions. In the prompt, write placeholders in the form <label> and attach the corresponding bounding-box JSON to state which region each element goes in, then write the specific description into the content corresponding to each label. This is suitable for images such as posters and banners that require fixed layout positions.

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