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Longcat Image Text to Image

wavespeed-ai /

LongCat-Image is a 6B parameter bilingual (Chinese-English) text-to-image 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.

text-to-image
入力
width
height
1024 × 1024 px
Range: 256 - 1536
If set to true, the function will wait for the result to be generated and uploaded before returning the response. It allows you to get the result directly in the response. This property is only available through the API.
If enabled, the output will be encoded into a BASE64 string instead of a URL. This property is only available through the API.

待機中

A creative movie poster design. In the center is a futuristic robot cat. The title text "LongCat AI" is written in large, bold, metallic letters at the top. High contrast, 8k resolution.

$0.151回あたり·~66 / $10

次:

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A creative movie poster design. In the center is a futuristic robot cat. The title text "LongCat AI" is written in large, bold, metallic letters at the top. High contrast, 8k resolution.

A creative movie poster design. In the center is a futuristic robot cat. The title text "LongCat AI" is written in large, bold, metallic letters at the top. High contrast, 8k resolution.

A rainy cyberpunk street at night, a bright neon sign hanging on the wall that says "Open 24 Hours" and "便利店". Cinematic lighting, realistic reflections on the wet ground.

A rainy cyberpunk street at night, a bright neon sign hanging on the wall that says "Open 24 Hours" and "便利店". Cinematic lighting, realistic reflections on the wet ground.

Professional food photography of a delicious beef burger with melted cheese, fresh lettuce, and tomatoes. Steam rising, water droplets on the vegetables, shallow depth of field, studio lighting

Professional food photography of a delicious beef burger with melted cheese, fresh lettuce, and tomatoes. Steam rising, water droplets on the vegetables, shallow depth of field, studio lighting

A hyper-realistic close-up portrait of an old fisherman with a white beard, wearing a yellow raincoat. detailed skin texture, weather-beaten face, dramatic lighting, sharp focus on eyes.

A hyper-realistic close-up portrait of an old fisherman with a white beard, wearing a yellow raincoat. detailed skin texture, weather-beaten face, dramatic lighting, sharp focus on eyes.

A panoramic view of a ruined modern metropolis reclaimed by nature. Skyscrapers are collapsing and covered in massive green vines and waterfalls. A rusted aircraft carrier sits in the middle of a flooded street. Sunset lighting, melancholic atmosphere, highly detailed textures, movie concept art.

A panoramic view of a ruined modern metropolis reclaimed by nature. Skyscrapers are collapsing and covered in massive green vines and waterfalls. A rusted aircraft carrier sits in the middle of a flooded street. Sunset lighting, melancholic atmosphere, highly detailed textures, movie concept art.

関連モデル

README

LongCat-Image — Text-to-Image

LongCat-Image is an open-source, bilingual (Chinese-English) foundation model for image generation developed by Meituan. With only 6B parameters, it addresses key challenges in multilingual text rendering, photorealism, deployment efficiency, and developer accessibility.

Where LongCat-Image fits best

  • Chinese and English text rendering in images
  • Photorealistic image generation
  • High-volume generation with efficient resource usage
  • Marketing and product visuals with text overlays

Key Features

• Exceptional Efficiency and Performance

With only 6B parameters, LongCat-Image outperforms larger open-source models across multiple benchmarks, demonstrating efficient model design.

• Powerful Chinese Text Rendering

Superior accuracy in rendering Chinese characters with industry-leading Chinese dictionary coverage. More stable than existing SOTA open-source models.

• Remarkable Photorealism

Innovative data strategy and training framework delivers high-quality, photorealistic image generation.

• Bilingual Support

Natively supports both Chinese and English prompts with excellent text rendering in both languages.

• Resource-conscious

The efficient 6B parameter architecture keeps GPU usage moderate, ideal for batch jobs and cost-sensitive pipelines.

Related Models on WaveSpeedAI

  • LongCat-Image Edit – Image editing with the same bilingual text rendering 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.
アクセシビリティ:本サイトは第三者が提供するAIモデルを使用しています。

Longcat Image Text To Image API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/longcat-image/text-to-image 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 Text To Image below.

HTTP example
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/longcat-image/text-to-image" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d '{
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "size": "1024*1024",
    "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/text-to-image", {
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "size": "1024*1024",
        "output_format": "jpeg",
        "seed": -1,
        "enable_sync_mode": false,
        "enable_base64_output": false
});

console.log(result.outputs[0]); // → URL of the generated output
Python example
# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "wavespeed-ai/longcat-image/text-to-image",
    {
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "size": "1024*1024",
    "output_format": "jpeg",
    "seed": -1,
    "enable_sync_mode": false,
    "enable_base64_output": false
}
)

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

Longcat Image Text To Image API — Frequently asked questions

What is the Longcat Image Text To Image API?

Longcat Image Text To Image is a WaveSpeedAI model for image generation, exposed as a REST API on WaveSpeedAI. LongCat-Image is a 6B parameter bilingual (Chinese-English) text-to-image 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 Text To Image 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-text-to-image.

How much does Longcat Image Text To Image cost per run?

Longcat Image Text To Image 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 Text To Image accept?

Key inputs: `prompt`, `size`, `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-text-to-image.

How long does Longcat Image Text To Image take to generate?

Average end-to-end generation time on WaveSpeedAI is around 217 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 Text To Image 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.