Boogu Image Edit transforms input images using English or Chinese edit instructions, supporting prompt-based image editing for visual changes, style adjustments, and image refinements. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing.
Boşta

$0.06çalıştırma başına·~16 / $1

Turn this image into a high-end swimwear fashion editorial. Keep the woman's identity, swimsuit, pose, and tasteful style consistent. Enhance the lighting into golden hour sunset, add soft ocean reflections, wind moving the linen cover-up, refined cinematic color grading, luxury magazine composition, elegant shadows, and a premium resort atmosphere. Focus on art direction, lighting, fabric movement, and composition rather than sensual posing.
Boogu Image Edit transforms an input image using a text instruction. Upload an image, describe the edit you want, and generate an edited image through the standard WaveSpeed prediction response. English and Chinese edit prompts are both supported.
Instruction-based image editing
Upload an image and describe the transformation you want in natural language.
Bilingual edit prompts
Use English or Chinese instructions to guide the image edit.
Original-ratio default
When no explicit size is provided, the edited image follows the input image aspect ratio.
Simple public interface
The public form focuses on prompt, input image, and output format.
Standard image output
Edited images are returned as URLs in the standard WaveSpeed prediction response.
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Edit instruction describing how to transform the input image. English and Chinese are supported. |
| image | Yes | Input image to edit. Upload an image or provide a public image URL. |
| output_format | No | Output image format: jpeg or png. Default: jpeg. |
jpeg for general-purpose output or png when PNG output is needed.| Aspect Ratio | Price |
|---|---|
| Same as input image | $0.20 |
| 1:1 | $0.06 |
| 16:9 | $0.04 |
| 9:16 | $0.04 |
| 4:3 | $0.05 |
| 3:4 | $0.05 |
jpeg or png depending on the downstream use case.png when you need a higher-quality image for further editing.jpeg for smaller, general-purpose edited images.Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/boogu-image/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 Boogu Image Edit below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/boogu-image/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",
"image": "https://example.com/your-input.jpg",
"output_format": "jpeg"
}'
# 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/boogu-image/edit", {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://example.com/your-input.jpg",
"output_format": "jpeg"
});
console.log(result.outputs[0]); // → URL of the generated output# pip install wavespeed
import wavespeed
output = wavespeed.run(
"wavespeed-ai/boogu-image/edit",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://example.com/your-input.jpg",
"output_format": "jpeg"
}
)
print(output["outputs"][0]) # → URL of the generated outputBoogu Image Edit is a WaveSpeedAI model for image editing, exposed as a REST API on WaveSpeedAI. Boogu Image Edit transforms input images using English or Chinese edit instructions, supporting prompt-based image editing for visual changes, style adjustments, and image refinements. 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/boogu-image-edit.
Boogu Image Edit starts at $0.060 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`, `image`, `output_format`. 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/boogu-image-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.