Firered Image Edit

FireRed Image Edit is a powerful AI image editing model that combines elements from multiple reference images into a single cohesive output. Upload reference images of people, objects, or styles, then describe how to combine them — the model intelligently merges elements while maintaining natural composition and lighting.

Why Choose This?

Multi-image composition Combine elements from multiple reference images into one seamless result.
Natural language editing Describe your edit in plain text — reference images by Figure number for precise control.
Flexible sizing Specify custom output size, or leave blank to match the first image's aspect ratio.
Intelligent blending Automatically adapts lighting, perspective, and style for realistic integration.
Prompt Enhancer Built-in tool to automatically improve your edit descriptions.

Parameters

Parameter	Required	Description
prompt	Yes	Text description of the desired edit (use "Figure 1", "Figure 2" to reference images)
images	Yes	Reference images to combine (click "+ Add Item" to add more)
size	No	Output size; if empty, matches the first image's aspect ratio

How to Use

Upload reference images — add all images containing elements you want to combine.
Write your prompt — describe the edit using "Figure 1", "Figure 2", etc. to reference specific images.
Set size (optional) — specify output dimensions, or leave blank to use first image's ratio.
Use Prompt Enhancer (optional) — click to automatically refine your description.
Run — submit and download your edited image.

Pricing

Output	Cost
Per image	$0.08

Best Use Cases

Virtual Try-On — Put a person in different outfits from reference photos.
Character Compositing — Combine character features with new environments or accessories.
Product Visualization — Show products on different models or in various settings.
Creative Compositing — Merge elements from multiple sources for unique imagery.
Marketing & Ads — Create customized visuals by combining brand assets.

Pro Tips

Use "Figure 1", "Figure 2", etc. in your prompt to reference images in upload order.
Clear, front-facing reference images produce the best element extraction.
The first image determines the default output aspect ratio when size is not specified.
Describe the scene context (location, lighting, mood) for more cohesive results.
For best results, use reference images with similar lighting conditions.

Notes

Both prompt and images are required fields.
Ensure uploaded image URLs are publicly accessible.
Output size defaults to first image's aspect ratio if not specified.

Firered Image Edit API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/firered-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 Firered Image Edit below.

HTTP example

# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/firered-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"
}'

# 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/firered-image/edit", {
        "prompt": "A cinematic shot of a city at sunset, soft golden light"
});

console.log(result.outputs[0]); // → URL of the generated output

Python example

# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "wavespeed-ai/firered-image/edit",
    {
    "prompt": "A cinematic shot of a city at sunset, soft golden light"
}
)

print(output["outputs"][0])  # → URL of the generated output

Firered Image Edit API — Frequently asked questions

What is the Firered Image Edit API?

Firered Image Edit is a WaveSpeedAI model for image editing, exposed as a REST API on WaveSpeedAI. FireRed Image Edit enables precise image editing with natural-language instructions, supporting both English and Chinese prompts with multi-image references. 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 Firered 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/firered-image-edit.

How much does Firered Image Edit cost per run?

Firered Image Edit starts at $0.080 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 Firered Image Edit accept?

Key inputs: `prompt`, `images`. 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/firered-image-edit.

How do I get started with the Firered 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 Firered 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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