Flux 2 Klein 9b Edit LoRA
Playground
Try it on WavespeedAI!FLUX.2 [klein] 9B Edit with LoRA support is a high-quality image editing model with 9B parameters, offering precise modifications using natural language instructions and personalized styles via custom LoRA adapters. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing.
Features
FLUX.2 Klein 9B Edit LoRA
FLUX.2 Klein 9B Edit LoRA is a powerful image editing model with full LoRA support. With 9B parameters, it delivers higher quality edits and better prompt understanding. Upload images, describe your edits, and optionally apply custom LoRA adapters for personalized styles.
Why Choose This?
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Enhanced editing quality 9B parameter model delivers richer detail and better prompt interpretation than the 4B variant.
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Text-guided editing Describe edits in natural language — transform styles, modify content, apply effects, and more.
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LoRA support Apply custom LoRA adapters for personalized styles, characters, or visual aesthetics.
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Multi-image input Upload multiple reference images for context-aware editing.
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Flexible output sizing Optionally set output size, or leave empty to match input image dimensions.
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Prompt Enhancer Built-in tool to automatically improve your prompts for better results.
Parameters
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text description of the desired edit |
| images | Yes | Source images to edit (can add multiple) |
| loras | No | List of LoRA adapters to apply |
| size | No | Output dimensions (empty = same as input image) |
| seed | No | Random seed for reproducibility (-1 for random) |
LoRA Format
Each LoRA in the loras array has:
- path (required) — URL to the LoRA weights file
- scale (optional) — Weight multiplier, default 1
How to Use
- Write your prompt — describe the edit you want (e.g., “make it a real picture”, “add sunset lighting”).
- Upload images — add source images using ”+ Add Item” button.
- Add LoRAs (optional) — click ”+ Add Item” to include custom LoRA adapters.
- Set size (optional) — specify output dimensions or leave empty to match input.
- Set seed — use -1 for random, or specify a number for reproducibility.
- Run — submit and download the edited image.
Pricing
| Item | Cost |
|---|---|
| Per image | $0.021 |
Simple flat-rate pricing regardless of image size or LoRA count.
Best Use Cases
- Style Transfer — Transform images with custom LoRA styles.
- Reality Enhancement — Convert illustrations or renders to photorealistic images.
- Character Consistency — Apply character LoRAs while editing images.
- High-Quality Retouching — When 4B quality isn’t enough for professional work.
- Production Editing — Balanced quality and cost for professional content.
Pro Tips
- Be specific in your prompt — clearly describe what should change.
- Use LoRAs to add consistent styles across multiple edits.
- Leave size empty to preserve original image dimensions.
- Start with LoRA scale 1.0 and adjust based on results.
- Use the same seed to compare different prompts or LoRA combinations.
Notes
- If size is not specified, output matches input image dimensions.
- 9B model offers better detail than 4B at slightly higher cost.
- For best results, use high-quality source images.
Related Models
- FLUX.2 Klein 9B Edit — Standard version without LoRA support.
- FLUX.2 Klein 4B Edit LoRA — Lighter 4B version at lower cost.
- FLUX.2 Klein 9B Text-to-Image LoRA — Text-to-image generation with LoRA support.
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-9b/edit-lora" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
"loras": [],
"seed": -1,
"enable_sync_mode": false,
"enable_base64_output": false
}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"
Parameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| prompt | string | Yes | - | The editing instruction. | |
| images | array | Yes | [] | 1 ~ 3 items | List of reference image URLs (1-3 images). |
| loras | array | No | max 3 items | List of LoRAs to apply (max 3). | |
| loras[].path | string | Yes | - | Path to the LoRA model | |
| loras[].scale | float | Yes | - | 0.0 ~ 4.0 | Scale of the LoRA model |
| size | string | No | - | 256 ~ 1536 per dimension | |
| 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.has_nsfw_contents | array | Array of boolean values indicating NSFW detection for each output |
| 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 |