Flux 2 Klein Base 9b Text To Image LoRA
Playground
Try it 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.
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
widthandheightdirectly 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
| 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. |
LoRA Format
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. |
How to Use
- Write your prompt — describe the subject, style, lighting, composition, and mood you want.
- Set the image size — choose
widthandheightfor your desired output dimensions. - Add LoRAs (optional) — include one or more LoRA adapters if you want custom style or character control.
- Adjust LoRA scale (optional) — start with
1and fine-tune if needed. - Set a seed (optional) — use
-1for random generation, or a fixed value for reproducible results. - 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
| Item | Cost |
|---|---|
| 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 = 1and 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
seedwhen 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
promptis required.widthandheightdefault to1024.seed = -1means 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.
Related Models
- FLUX.2 Klein Base 9B Text-to-Image — Standard version without LoRA support.
- FLUX.2 Klein 4B Text-to-Image LoRA — Lighter 4B version at lower cost.
- FLUX.2 Pro — Flagship-quality text-to-image generation.
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
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| prompt | string | Yes | - | The positive prompt for the generation. | |
| size | string | No | 1024*1024 | 256 ~ 1536 per dimension | The size of the generated media in pixels (width*height). |
| loras | array | No | max 3 items | List of LoRAs to apply (maximum 3). | |
| loras[].path | string | Yes | - | Path to the LoRA model | |
| loras[].scale | float | Yes | - | 0.0 ~ 4.0 | Scale of the LoRA model |
| seed | integer | No | -1 | -1 ~ 2147483647 | The random seed to use for the generation. -1 means a random seed will be used. |
| enable_sync_mode | boolean | No | false | - | 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_output | boolean | No | false | - | 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
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data.id | string | Unique identifier for the prediction, Task Id |
| data.model | string | Model ID used for the prediction |
| data.outputs | array | Array of URLs to the generated content (empty when status is not completed) |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |
Result Request Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| id | string | Yes | - | Task ID |
Result Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data | object | The prediction data object containing all details |
| data.id | string | Unique identifier for the prediction, the ID of the prediction to get |
| data.model | string | Model ID used for the prediction |
| data.outputs | string | Array of URLs to the generated content (empty when status is not completed). |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |