Boogu Image Edit API | WaveSpeedAI

Boogu Image Edit

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.

Why Choose This?

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.

Parameters

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`.

How to Use

Upload your image — Provide the input image you want to edit.
Write your edit prompt — Describe what should change and what should stay the same.
Choose output format — Use jpeg for general-purpose output or png when PNG output is needed.
Submit — Generate the edited image and retrieve the output URL.

Pricing

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

Best Use Cases

Photo transformation — Change backgrounds, style, mood, color, or visual details in an input image.
Product and marketing edits — Refine uploaded or generated assets for campaigns, product visuals, and content production.
Creative iteration — Try different edit prompts on the same source image.
Bilingual workflows — Use English or Chinese instructions in the same API workflow.
Format-specific outputs — Generate edited images in jpeg or png depending on the downstream use case.

Pro Tips

Use clear edit instructions that describe both what should change and what should remain unchanged.
Upload a sharp image with the main subject clearly visible.
Keep the prompt focused on one main edit when possible.
Use png when you need a higher-quality image for further editing.
Use jpeg for smaller, general-purpose edited images.
Ensure the input image URL is publicly accessible.

Boogu Image Edit API — Quick start

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. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read URLs from data.outputs. Examples for Boogu Image Edit below.

HTTP example

# Submit the prediction
curl --fail-with-body --connect-timeout 10 --max-time 60 \
  -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"
}'

# Wait at least 2 seconds, then poll. Safe GET requests may be retried.
curl --fail-with-body --connect-timeout 10 --max-time 30 \
  --retry 4 --retry-all-errors --retry-delay 1 \
  -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY"

# Start at 2 seconds and increase the interval for long-running tasks.
# Stop on completed, failed, cancelled, or timeout.

Node.js example

// npm install wavespeed
const { Client } = require('wavespeed');

const apiKey = process.env.WAVESPEED_API_KEY;
if (!apiKey) throw new Error('Set WAVESPEED_API_KEY');
const client = new Client(apiKey);

try {
  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"
}, {
    timeout: 3600,
    pollInterval: 2.0,
  });
  console.log(result.outputs);
} catch (error) {
  console.error('Generation failed:', error);
  process.exitCode = 1;
}

Python example

# pip install wavespeed
import os
from wavespeed import Client

client = Client(api_key=os.environ["WAVESPEED_API_KEY"])

try:
    output = 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"
},
        timeout=3600.0,
        poll_interval=2.0,
    )
    print(output["outputs"])
except Exception as error:
    raise SystemExit(f"Generation failed: {error}") from error

Boogu Image Edit API — Frequently asked questions

What is the Boogu Image Edit API?

Boogu 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.

How do I call the Boogu Image Edit API?

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 result endpoint starting around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. The playground generates production-oriented Python, JavaScript, and cURL examples with timeouts, transient-error handling, and safe GET retries. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/wavespeed-ai/boogu-image-edit.

How much does Boogu Image Edit cost per run?

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.

What inputs does Boogu Image Edit accept?

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.

How do I get started with the Boogu Image Edit API?

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.

Can I use Boogu Image Edit outputs commercially?

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.

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