Hunyuan Image 2.1 API Documentation

Hunyuan Image 2.1 API Documentation

Playground

HunyuanImage-2.1 is an efficient diffusion text-to-image model producing high-resolution 2K images with detailed, photorealistic results. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

Hunyuan Image 2.1 is a state-of-the-art text-to-image generation model from Tencent that transforms written descriptions into stunning, high-quality visuals. With flexible resolution control and multiple output formats, it delivers exceptional detail, composition, and artistic quality.

Why It Stands Out

• High-quality generation: Produces sharp, detailed images with excellent composition and visual appeal.
• Prompt Enhancer: Built-in AI-powered prompt optimization helps craft better descriptions for improved results.
• Flexible resolution: Customize width and height independently for any aspect ratio.
• Multiple output formats: Export as JPEG, PNG, or WebP based on your needs.
• Reproducibility: Use the seed parameter to recreate exact results or explore variations.

Parameters

How to Use

1. Write a prompt describing the image you want. Use the Prompt Enhancer for AI-assisted optimization.
2. Set dimensions — adjust width and height for your desired aspect ratio.
3. Choose output format — select JPEG, PNG, or WebP.
4. Set a seed (optional) for reproducible results.
5. Click Run and download your image.

Best Use Cases

• Creative Art & Illustration — Generate unique artwork, concept art, and digital illustrations.
• Marketing & Social Media — Produce eye-catching visuals for campaigns and posts.
• Product Visualization — Create product mockups and lifestyle imagery.
• Poster & Print Design — Generate high-resolution artwork for posters, banners, and print materials.
• Design Prototyping — Quickly visualize ideas before committing to full production.

Pricing

Pro Tips for Best Quality

• Be descriptive in your prompt — include style, mood, lighting, composition, and specific details.
• Use style keywords like “cinematic,” “photorealistic,” “oil painting,” or “anime” to guide the aesthetic.
• Adjust aspect ratio to match your use case — vertical for posters, horizontal for banners, square for social media.
• Fix the seed when iterating to compare the effect of different prompt variations.
• Use PNG format for images requiring transparency or maximum quality.

Notes

• Processing time varies based on resolution and current queue load.
• Please ensure your prompts comply with content guidelines.

Authentication

For authentication details, please refer to the Authentication Guide.

API Endpoints

Submit Task & Query Result

set -euo pipefail

export WAVESPEED_API_KEY="your-api-key"

REQUEST_BODY=$(cat <<'JSON'
{
  "prompt": "A cinematic ocean wave at sunrise, highly detailed",
  "size": "1024*1024",
  "output_format": "jpeg"
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/hunyuan-image-2.1" \
  -H "Authorization: Bearer ${WAVESPEED_API_KEY}" \
  -H "Content-Type: application/json" \
  -d "${REQUEST_BODY}")

TASK=$(printf '%s' "${SUBMIT_RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "${TASK}" | jq -r '.id // empty')
if [ -z "${PREDICTION_ID}" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result"

# 2. Poll until the prediction finishes.
while true; do
  RESPONSE=$(curl --silent --show-error --fail-with-body \
    "${RESULT_URL}" \
    -H "Authorization: Bearer ${WAVESPEED_API_KEY}")
  RESULT=$(printf '%s' "${RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
  STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')

  case "${STATUS}" in
    completed) printf '%s\n' "${RESULT}" | jq '.outputs'; break ;;
    failed|cancelled|timeout|deleted) printf '%s\n' "${RESULT}" | jq . >&2; exit 1 ;;
    *) sleep 2 ;;
  esac
done

Parameters

Task Submission Parameters

Request Parameters

Response Parameters

Result Request Parameters

Result Response Parameters