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.
Ожидание

$0.017за запуск·~58 / $1

make it a real picture

make it a real picture

turn the pink into green

change the male to a female

Add a female lying on the hammock
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.
Text-guided editing Describe edits in natural language — transform styles, modify content, apply effects, and more.
LoRA support Apply up to 3 custom LoRA adapters for personalized styles, characters, or visual aesthetics.
Multi-image input Upload up to 4 reference images for context-aware editing.
Flexible output sizing Optionally set output size, or leave empty to match input image dimensions.
Prompt Enhancer Built-in tool to automatically improve your prompts for better results.
Lightweight and fast 4B parameter model optimized for quick turnaround at affordable pricing.
| 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) |
Each LoRA in the loras array has:
| Item | Cost |
|---|---|
| Per image | $0.017 |
Simple flat-rate pricing regardless of image size or LoRA count.
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/flux-2-klein-4b/edit-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 4b Edit Lora below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/flux-2-klein-4b/edit-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",
"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-4b/edit-lora", {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"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-4b/edit-lora",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"seed": -1,
"enable_sync_mode": false,
"enable_base64_output": false
}
)
print(output["outputs"][0]) # → URL of the generated outputFlux 2 Klein 4b Edit Lora is a WaveSpeedAI model for AI inference, exposed as a REST API 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. 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-4b-edit-lora.
Flux 2 Klein 4b Edit Lora starts at $0.017 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`, `images`, `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-4b-edit-lora.
Average end-to-end generation time on WaveSpeedAI is around 23 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.
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.