LongCat-Image Edit is a 6B parameter bilingual (Chinese-English) image editing model from Meituan, excelling at multilingual text rendering, photorealism, and deployment efficiency. Ready-to-use REST inference API with best performance and no cold starts.
Siap
$0.15per run·~66 / $10
ContohLihat semua
Change the cloth to a jacket and jeans
Turn the statue into solid gold
Change the season to snowy winter
Put a pair of cool sunglasses on the dog
Remove the tourists from the image
Model Terkait
README
LongCat-Image — Edit
LongCat-Image Edit is a 6B parameter image editing model from Meituan, designed for bilingual (Chinese-English) image editing with exceptional text rendering capabilities.
Where LongCat-Image Edit fits best
- Editing Chinese and English text in images
- Photorealistic image modifications
- Marketing and product visuals with text overlays
- Typography and layout updates in existing designs
Key Features
• Exceptional Efficiency and Performance
With only 6B parameters, LongCat-Image Edit delivers high-quality results while maintaining efficient resource usage.
• Powerful Chinese Text Rendering
Superior accuracy in rendering and editing Chinese characters with industry-leading Chinese dictionary coverage.
• Bilingual Support
Natively supports both Chinese and English prompts with excellent text rendering in both languages.
• Natural Language Editing
Describe edits in plain language to modify images while preserving the original composition.
Related Models on WaveSpeedAI
- LongCat-Image Text-to-Image – Text-to-image generation with the same bilingual capabilities.
More Image Tools on WaveSpeedAI
- Nano Banana Pro – Google's Gemini-based text-to-image model for sharp, coherent, prompt-faithful visuals.
- Seedream V4 – style-consistent, multi-image generator ideal for posters and campaigns.
- Qwen Edit Plus – An enhanced Qwen-based image editor for precise inpainting and local style changes.
Longcat Image Edit API — Quick start
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/longcat-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 Longcat Image Edit below.
HTTP example
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/longcat-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",
"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].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/longcat-image/edit", {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://example.com/your-input.jpg",
"output_format": "jpeg",
"seed": -1,
"enable_sync_mode": false,
"enable_base64_output": false
});
console.log(result.outputs[0]); // → URL of the generated outputPython example
# pip install wavespeed
import wavespeed
output = wavespeed.run(
"wavespeed-ai/longcat-image/edit",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"image": "https://example.com/your-input.jpg",
"output_format": "jpeg",
"seed": -1,
"enable_sync_mode": false,
"enable_base64_output": false
}
)
print(output["outputs"][0]) # → URL of the generated outputLongcat Image Edit API — Frequently asked questions
What is the Longcat Image Edit API?
Longcat Image Edit is a WaveSpeedAI model for image editing, exposed as a REST API on WaveSpeedAI. LongCat-Image Edit is a 6B parameter bilingual (Chinese-English) image editing model from Meituan, excelling at multilingual text rendering, photorealism, and deployment efficiency. Ready-to-use REST inference API with best performance and no cold starts. You can call it programmatically or try it from the playground above.
How do I call the Longcat 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/longcat-image-edit.
How much does Longcat Image Edit cost per run?
Longcat Image Edit starts at $0.15 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 Longcat Image Edit accept?
Key inputs: `prompt`, `image`, `seed`, `enable_base64_output`, `enable_sync_mode`, `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/longcat-image-edit.
How long does Longcat Image Edit take to generate?
Average end-to-end generation time on WaveSpeedAI is around 219 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.
Can I use Longcat 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.