FLUX.2 [klein] Base 4B Edit enables precise image-to-image editing with natural language instructions and multi-reference support. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing.
Idle

$0.015per run·~66 / $1

Transform the office environment into an underwater office, with blue filtered light, floating papers, slow air bubbles, and fish swimming outside the glass walls. Preserve the woman, face identity, outfit, seated pose, desk position, and camera angle. Make the scene surreal but photorealistic, with believable underwater lighting and reflections.

Cover the left side of her face with delicate fresh flowers and small green leaves, as if naturally growing across her skin. Preserve the right side of her face, identity, expression, lighting, pose, and background. The flowers should look realistic, detailed, and softly integrated with natural shadows. High-end surreal beauty editorial style.
FLUX.2 Klein Base 4B Edit is a lightweight yet powerful image editing model. Upload images and describe your edits in natural language — the model transforms styles, modifies content, and applies effects with fast generation and affordable pricing.
Text-guided editing Describe edits in natural language — transform styles, modify content, apply effects, and more.
Multi-image input Upload multiple 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 the lowest cost.
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text description of the desired edit |
| images | Yes | Source images to edit (can add multiple) |
| size | No | Output dimensions (empty = same as input image) |
| seed | No | Random seed for reproducibility (-1 for random) |
| Item | Cost |
|---|---|
| Per image | $0.015 |
Simple flat-rate pricing regardless of image size.
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/flux-2-klein-base-4b/edit 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 4b Edit below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/flux-2-klein-base-4b/edit" \
-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-base-4b/edit", {
"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-base-4b/edit",
{
"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 Base 4b Edit is a WaveSpeedAI model for image editing, exposed as a REST API on WaveSpeedAI. FLUX.2 [klein] Base 4B Edit enables precise image-to-image editing with natural language instructions and multi-reference support. 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-4b-edit.
Flux 2 Klein Base 4b Edit starts at $0.015 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`. 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-4b-edit.
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.