Flux 2 Klein 4b Edit LoRA
Playground
Try it on WavespeedAI!FLUX.2 [klein] 4B Edit with LoRA support enables precise image-to-image editing with natural language instructions, multi-reference support, and LoRA customization. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing.
Features
FLUX.2 Klein 4B Edit LoRA
FLUX.2 Klein 4B Edit LoRA is a lightweight yet powerful image editing model with full LoRA support. Upload images, describe your edits, and optionally apply up to 3 custom LoRA adapters for personalized styles — all with fast generation and affordable pricing.
Why Choose This?
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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 up to 3 custom LoRA adapters for personalized styles, characters, or visual aesthetics.
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Multi-image input Upload up to 4 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.
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Lightweight and fast 4B parameter model optimized for quick turnaround at affordable pricing.
Parameters
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text description of the desired edit |
| images | Yes | Source images to edit (up to 4 images) |
| loras | No | List of LoRA adapters to apply (up to 3) |
| 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 up to 4 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 | $0.017 |
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.
- Creative Retouching — Apply artistic edits with natural language and LoRA combinations.
- Batch Editing — Affordable pricing enables large-scale image editing.
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
- Maximum 4 images can be uploaded per generation.
- Up to 3 LoRAs can be applied simultaneously.
- If size is not specified, output matches input image dimensions.
- For best results, use high-quality source images.
Related Models
- FLUX.2 Klein 4B Edit — Standard version without LoRA support.
- FLUX.2 Pro — Flagship-quality text-to-image generation.
- Qwen Image Edit 2511 — Image editing with bilingual text 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-4b/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 (maximum 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 |