Hunyuan Image 3.0 Instruct text-to-image model from Tencent with high-quality image generation. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing.
Idle

$0.12per run·~83 / $10

A medium shot portrait of a girl with windblown hair standing on a cloudy, desolate beach. She wears a thick, textured beige knitted sweater. The wind whips her hair across her face slightly. The lighting is overcast and soft (diffused light), eliminating harsh shadows. The color palette is muted: greys, whites, and sand tones. Raw, authentic photography style, sharp focus on the eyes, melancholic but beautiful.

A photorealistic portrait of a handsome young man, captured with cinematic lighting and shallow depth of field, emphasizing natural skin texture and subtle facial details. He stands confidently in a softly lit outdoor setting, with blurred background foliage and warm golden-hour glow. His expression is calm yet engaging, eyes meeting the camera with a gentle intensity. He wears casual, well-fitted clothing—light-colored shirt and dark trousers—with natural posture and slight movement suggesting realism. Shot in 4K, high-resolution, with realistic lens flare and film grain for a professional, studio-quality aesthetic. Medium shot, eye-level framing, emphasizing his presence and charisma.

An old man sits alone in a quiet winter park, surrounded by snow-covered trees and bare branches under a pale, overcast sky. He wears a dark, warm coat with a hood, his face partially shadowed by the low-angle winter light, giving him a contemplative, slightly melancholic expression. The camera captures him in a medium shot from a slightly elevated angle, with shallow depth of field blurring the background into soft bokeh, emphasizing his presence. Natural, diffused lighting creates subtle highlights on his skin and clothing, evoking a cinematic, documentary-style photograph. The atmosphere is cold, serene, and introspective — a still moment frozen in time.

A vintage-style 35mm film photograph of a smiling couple sitting in a retro diner. Warm, golden indoor lighting. They are laughing, not looking at the camera. Flash photography aesthetic, slightly harsh shadow behind them, but the skin looks glowing and warm. Grainy, imperfect, nostalgic vibe. Details of the retro leather seats and milkshake on the table. Candid moment, pure joy.
Hunyuan Image 3 Instruct is Tencent's advanced text-to-image generation model that transforms written prompts into high-quality visuals. With support for multiple aspect ratios, flexible sizing, and instruction-following capabilities, it delivers detailed, coherent images that align closely with your descriptions.
Strong instruction following Accurately interprets and executes complex prompts with detailed descriptions.
Multiple aspect ratios Preset options for 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, and 2:3 to fit any use case.
Flexible sizing Custom width and height from 256 to 1536 pixels for precise control.
Prompt Enhancer Built-in tool to automatically improve your prompts for better results.
Bilingual support Works with both Chinese and English prompts.
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text description of the image you want to generate |
| size | No | Preset aspect ratio: 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3 |
| width | No | Output width in pixels (256-1536, default: 1024) |
| height | No | Output height in pixels (256-1536, default: 1024) |
| seed | No | Random seed for reproducibility |
| Output | Cost |
|---|---|
| Per image | $0.12 |
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/hunyuan-image-3-instruct/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 Hunyuan Image 3 Instruct Text To Image below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/hunyuan-image-3-instruct/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",
"seed": -1
}'
# 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].// npm install wavespeed
const WaveSpeed = require('wavespeed');
const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env
const result = await client.run("wavespeed-ai/hunyuan-image-3-instruct/text-to-image", {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"size": "1024*1024",
"seed": -1
});
console.log(result.outputs[0]); // → URL of the generated output# pip install wavespeed
import wavespeed
output = wavespeed.run(
"wavespeed-ai/hunyuan-image-3-instruct/text-to-image",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"size": "1024*1024",
"seed": -1
}
)
print(output["outputs"][0]) # → URL of the generated outputHunyuan Image 3 Instruct Text To Image is a WaveSpeedAI model for image generation, exposed as a REST API on WaveSpeedAI. Hunyuan Image 3.0 Instruct text-to-image model from Tencent with high-quality image generation. 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.
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/hunyuan-image-3-instruct-text-to-image.
Hunyuan Image 3 Instruct Text To Image starts at $0.12 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.
Key inputs: `prompt`, `size`, `seed`. 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/hunyuan-image-3-instruct-text-to-image.
Average end-to-end generation time on WaveSpeedAI is around 171 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.
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.