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Boogu Image Edit API

wavespeed-ai /

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.

image-to-image
输入

拖放文件或点击上传

preview

就绪

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.

$0.06每次运行·~16 / $1

下一步:

示例查看全部

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.

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.

相关模型

README

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

ParameterRequiredDescription
promptYesEdit instruction describing how to transform the input image. English and Chinese are supported.
imageYesInput image to edit. Upload an image or provide a public image URL.
output_formatNoOutput image format: jpeg or png. Default: jpeg.

How to Use

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

Pricing

Aspect RatioPrice
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.
无障碍:本网站使用的 AI 模型由第三方提供。

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; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Boogu Image Edit below.

HTTP example
# 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].
Node.js example
// 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
Python example
# 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 output

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 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.

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.