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black-forest-labs / flux-2

Generate high-quality images from a text prompt with strong prompt adherence and efficient, fast inference.

0.012 per megapixel of image
OpenAPI

Model Input

Input

The text prompt describing the image to generate.

The size of the generated image. Use a preset string (e.g. 'landscape_16_9') or a custom {width, height} object.

Min: 1 - Max: 4

The number of images to generate.

Min: 4 - Max: 50

The number of inference steps to perform. More steps can improve detail at the cost of speed.

Min: 0 - Max: 20

The CFG (Classifier Free Guidance) scale. Higher values increase adherence to the prompt.

The same seed and the same prompt given to the same version of the model will output the same image every time.

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Model Output

Output

Generated image output
Generated in 2.956 seconds
Logs (1 lines)

Model Example Requests

Examples

Example output 1Example output 2

Model Details

Model Details

FLUX.2 [dev] turns a text prompt into a high-quality image. It is a lightweight, efficient text-to-image generator from Black Forest Labs that keeps strong prompt adherence and image fidelity while running fast and cheap, making it a solid general-purpose default for illustrations, product shots, concept art, and marketing visuals. Pick it when you want clean, faithful results from a single prompt without managing a heavy, slow pipeline.

## Best for - General text-to-image generation — illustrations, concept art, product and editorial scenes — with faithful prompt following - Fast, low-cost iteration where you want several prompt variations quickly - Marketing and social visuals, backgrounds, and hero images generated from a description - Batch ideation: request up to 4 images from one prompt to compare compositions

## Choose another model when - You want to edit, restyle, or modify an existing image rather than generate one from scratch — use an image-editing / image-to-image model - Your image is mostly dense or multi-line typography that must stay perfectly legible — use a model specialized in in-image text rendering - You want video or animation from your prompt — use a text-to-video model

## Tips - Be specific about subject, composition, lighting, and style; FLUX.2 follows detailed prompts closely - Pick `image_size` to match the layout: `landscape_16_9` or `landscape_4_3` for wide scenes, `portrait_4_3` / `portrait_16_9` for vertical, `square` / `square_hd` for social - Use `num_images` (1-4) to get several variations from one prompt in a single call - `guidance_scale` (default 2.5) trades creativity for prompt adherence; raise `num_inference_steps` (default 28, minimum 4) for more detail at the cost of speed

## Limitations - Long passages of small text can still introduce glyph errors - Highly photorealistic faces and hands may need a follow-up edit pass

To run via the ModelRunner JavaScript client: ```js import { modelrunner } from "@modelrunner/client";

const result = await modelrunner.subscribe("black-forest-labs/flux-2", { input: { prompt: "a serene mountain lake at golden hour, mist over the water, photorealistic", image_size: "landscape_4_3", num_images: 1, }, }); ```