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.
Idle

$0.02per run·~50 / $1

A cinematic suspense still of an old apartment hallway at night, one door left slightly open, warm light spilling onto the dark floor, peeling wallpaper, long shadows, quiet tension, realistic film photography, dramatic atmosphere, ultra-detailed

A cinematic drama still of an adult sitting alone in a quiet hospital corridor at night, vending machine light, empty chairs, paper cup in hand, long fluorescent hallway, tired expression, emotional uncertainty, realistic film photography, muted colors, shallow depth of field, ultra-detailed

A cinematic romantic drama still of two adults standing apart on a rooftop at sunset, city skyline glowing behind them, one person looking away while the other waits silently, soft wind, warm golden light, emotional distance, realistic film photography, shallow depth of field, ultra-detailed
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.
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.
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text description of the image you want to generate. |
| width | No | Output width in pixels. Default: 1024. |
| height | No | Output height in pixels. Default: 1024. |
| loras | No | List of LoRA adapters to apply during generation. |
| seed | No | Random seed for reproducibility. Use -1 for random generation. |
Each item in the loras array supports:
| Field | Required | Description |
|---|---|---|
| path | Yes | URL to the LoRA weights file. |
| scale | No | LoRA weight multiplier. Default: 1. |
width and height for your desired output dimensions.1 and fine-tune if needed.-1 for random generation, or a fixed value for reproducible results.Generate a cinematic fantasy portrait using a custom character LoRA and a painterly style LoRA, with dramatic lighting and highly detailed textures.
| Item | Cost |
|---|---|
| Per image | $0.02 |
width, height, seed, and the number of LoRAs do not affect pricingscale = 1 and adjust based on how strongly you want the adapter to influence the result.seed when comparing different prompts or LoRA combinations.1024 × 1024, then adjust once the concept is working well.prompt is required.width and height default to 1024.seed = -1 means random generation.Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/flux-2-klein-base-9b/text-to-image-lora with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Flux 2 Klein Base 9b Text To Image Lora below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/flux-2-klein-base-9b/text-to-image-lora" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"size": "1024*1024",
"seed": -1,
"enable_sync_mode": false,
"enable_base64_output": false
}'
# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
-H "Authorization: Bearer $WAVESPEED_API_KEY"
# When status is "completed", read the output from data.outputs[0].// npm install wavespeed
const WaveSpeed = require('wavespeed');
const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env
const result = await client.run("wavespeed-ai/flux-2-klein-base-9b/text-to-image-lora", {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"size": "1024*1024",
"seed": -1,
"enable_sync_mode": false,
"enable_base64_output": false
});
console.log(result.outputs[0]); // → URL of the generated output# pip install wavespeed
import wavespeed
output = wavespeed.run(
"wavespeed-ai/flux-2-klein-base-9b/text-to-image-lora",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"size": "1024*1024",
"seed": -1,
"enable_sync_mode": false,
"enable_base64_output": false
}
)
print(output["outputs"][0]) # → URL of the generated outputFlux 2 Klein Base 9b Text To Image Lora is a WaveSpeedAI model for AI inference, exposed as a REST API on WaveSpeedAI. 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. You can call it programmatically or try it from the playground above.
POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID; poll the prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/wavespeed-ai/flux-2-klein-base-9b-text-to-image-lora.
Flux 2 Klein Base 9b Text To Image Lora starts at $0.020 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.
Key inputs: `prompt`, `size`, `seed`, `enable_base64_output`, `enable_sync_mode`, `loras`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/wavespeed-ai/flux-2-klein-base-9b-text-to-image-lora.
Sign up for a free WaveSpeedAI account to claim starter credits, copy your API key from /accesskey, then call the endpoint shown in the API tab of the playground. The playground also auto-generates a code sample in Python, JavaScript, or cURL for the parameters you've set.
Commercial usage rights depend on the model's license, set by its provider (WaveSpeedAI). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.