Browse ModelsWavespeed AIFlux 2 Klein Base 9b Text To Image LoRA

Flux 2 Klein Base 9b Text To Image LoRA

Flux 2 Klein Base 9b Text To Image LoRA

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

Features

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

WaveSpeed AI FLUX.2 Klein Base 9B Text-to-Image LoRA is a high-quality text-to-image generation model with full LoRA support. Built on a 9B-parameter architecture, it delivers stronger detail, better prompt understanding, and more reliable visual fidelity than the 4B variant, while remaining fast and cost-effective for production workflows.


Why Choose This?

  • Higher-quality generation The 9B model produces richer detail, stronger prompt adherence, and more refined outputs than the 4B variant.

  • Full LoRA support Apply custom LoRA adapters for personalized styles, characters, aesthetics, or branded visual directions.

  • Flexible image sizing Set custom width and height directly for the exact output dimensions you need.

  • Prompt Enhancer Built-in prompt enhancement can help improve image quality and prompt clarity.

  • Balanced speed and quality More capable than the 4B version while still remaining practical for fast creative iteration.

  • Production-ready workflow Suitable for custom character work, visual branding, style control, and other high-quality generation tasks.


Parameters

ParameterRequiredDescription
promptYesText description of the image you want to generate.
widthNoOutput width in pixels. Default: 1024.
heightNoOutput height in pixels. Default: 1024.
lorasNoList of LoRA adapters to apply during generation.
seedNoRandom seed for reproducibility. Use -1 for random generation.

LoRA Format

Each item in the loras array supports:

FieldRequiredDescription
pathYesURL to the LoRA weights file.
scaleNoLoRA weight multiplier. Default: 1.

How to Use

  1. Write your prompt — describe the subject, style, lighting, composition, and mood you want.
  2. Set the image size — choose width and height for your desired output dimensions.
  3. Add LoRAs (optional) — include one or more LoRA adapters if you want custom style or character control.
  4. Adjust LoRA scale (optional) — start with 1 and fine-tune if needed.
  5. Set a seed (optional) — use -1 for random generation, or a fixed value for reproducible results.
  6. Submit — run the model and download the generated image.

Example Use Case

Generate a cinematic fantasy portrait using a custom character LoRA and a painterly style LoRA, with dramatic lighting and highly detailed textures.


Pricing

ItemCost
Per image$0.015

Billing Rules

  • Pricing is fixed at $0.015 per generated image
  • width, height, seed, and the number of LoRAs do not affect pricing
  • Flat-rate pricing applies regardless of image dimensions or LoRA count

Best Use Cases

  • Custom character generation — Apply character LoRAs for more consistent identity across generations.
  • Style personalization — Use style LoRAs to create distinctive visual aesthetics.
  • Brand content creation — Generate on-brand visuals using custom-trained LoRA styles.
  • High-quality creative work — Use the 9B model when the 4B variant is not enough for production quality.
  • Professional content generation — Balance strong detail and prompt fidelity with practical cost and speed.
  • Hybrid visual control — Combine multiple LoRAs for more specialized outputs, such as character + style workflows.

Pro Tips

  • Be specific in your prompt about subject, style, lighting, colors, and atmosphere.
  • Start with LoRA scale = 1 and adjust based on how strongly you want the adapter to influence the result.
  • Combine multiple LoRAs carefully when you want hybrid effects.
  • Use the same seed when comparing different prompts or LoRA combinations.
  • If a LoRA relies on trigger words, include them in your prompt.
  • Start with standard dimensions like 1024 × 1024, then adjust once the concept is working well.

Notes

  • prompt is required.
  • width and height default to 1024.
  • seed = -1 means random generation.
  • LoRAs can be stacked for combined effects.
  • For best results, use LoRAs trained on FLUX-compatible models.
  • The 9B model offers better detail and prompt understanding than the 4B variant at a slightly higher cost.

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-lora" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "size": "1024*1024",
    "loras": [],
    "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-The positive prompt for the generation.
sizestringNo1024*1024256 ~ 1536 per dimensionThe size of the generated media in pixels (width*height).
lorasarrayNomax 3 itemsList of LoRAs to apply (maximum 3).
loras[].pathstringYes-Path to the LoRA model
loras[].scalefloatYes-0.0 ~ 4.0Scale of the LoRA model
seedintegerNo-1-1 ~ 2147483647The random seed to use for the generation. -1 means a random seed will be used.
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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