Browse ModelsWavespeed AIFlux 2 Klein Base 9b Text To Image

Flux 2 Klein Base 9b Text To Image

Flux 2 Klein Base 9b Text To Image

Playground

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FLUX.2 [klein] Base 9B is a high-quality text-to-image model with 9B parameters, offering enhanced realism and crisper text generation. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing.

Features

WaveSpeed AI FLUX.2 Klein Base 9B Text-to-Image

WaveSpeed AI FLUX.2 Klein Base 9B Text-to-Image generates images from natural-language prompts with a simple interface for prompt input, output size selection, and optional seed control. It is suitable for concept art, creative ideation, marketing visuals, and other prompt-driven image generation workflows.


Why Choose This?

  • Prompt-based image generation Turn natural-language descriptions into generated images with minimal setup.

  • Simple control surface Only a few core inputs are required, making the workflow easy to use and integrate.

  • Flexible image size Use the size parameter to control the output dimensions.

  • Seed support for reproducibility Use seed to get more consistent generations across repeated runs.

  • Production-ready API Suitable for image generation tools, prototyping pipelines, and creative applications.


Parameters

ParameterRequiredDescription
promptYesText prompt describing the image you want to generate.
sizeNoOutput image size. Default: 1024*1024.
seedNoRandom seed for reproducibility. Use -1 for a random seed. Default: -1.

How to Use

  1. Write your prompt — describe the subject, style, lighting, composition, and mood you want.
  2. Choose size (optional) — set the output dimensions if you want something other than the default.
  3. Set a seed (optional) — use a fixed seed for more reproducible results, or -1 for random generation.
  4. Submit — run the model and download the generated image.

Example Prompt

A cinematic futuristic city street at night, neon reflections on wet pavement, atmospheric fog, ultra-detailed, dramatic lighting


Pricing

Just $0.01 per image.

Billing Rules

  • Each generated image costs $0.01
  • size and seed do not affect pricing
  • Pricing is fixed per generated image

Best Use Cases

  • Concept art — Explore visual ideas and creative directions quickly.
  • Marketing creatives — Generate visuals for campaigns, ads, and presentations.
  • Social media content — Produce prompt-driven images for posts and promotional content.
  • Creative prototyping — Test visual ideas before moving into heavier production workflows.
  • General image generation — Create still images from short or detailed prompts.

Pro Tips

  • Be specific in your prompt about subject, environment, style, and lighting.
  • Start with the default size for quick generation, then adjust if needed.
  • Use the same seed when you want more consistent variations of a concept.
  • Use -1 when you want a fresh random result each time.
  • Short, focused prompts often produce more controllable results than overly broad descriptions.

Notes

  • prompt is required.
  • size defaults to 1024*1024.
  • seed defaults to -1, which means random generation.
  • Pricing is fixed at $0.01 per image.

Authentication

For authentication details, please refer to the Authentication Guide.

API Endpoints

Submit Task & Query Result


# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/flux-2-klein-base-9b/text-to-image" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "size": "1024*1024",
    "seed": -1,
    "enable_sync_mode": false,
    "enable_base64_output": false
}'

# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"

Parameters

Task Submission Parameters

Request Parameters

ParameterTypeRequiredDefaultRangeDescription
promptstringYes-
sizestringNo1024*1024256 ~ 1536 per dimension
seedintegerNo-1-1 ~ 2147483647
enable_sync_modebooleanNofalse-If set to true, the function will wait for the result to be generated and uploaded before returning the response. It allows you to get the result directly in the response. This property is only available through the API.
enable_base64_outputbooleanNofalse-If enabled, the output will be encoded into a BASE64 string instead of a URL. This property is only available through the API.

Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
data.idstringUnique identifier for the prediction, Task Id
data.modelstringModel ID used for the prediction
data.outputsarrayArray of URLs to the generated content (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds

Result Request Parameters

ParameterTypeRequiredDefaultDescription
idstringYes-Task ID

Result Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
dataobjectThe prediction data object containing all details
data.idstringUnique identifier for the prediction, the ID of the prediction to get
data.modelstringModel ID used for the prediction
data.outputsstringArray of URLs to the generated content (empty when status is not completed).
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds
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