Hunyuan Image 3 Instruct Text To Image

Hunyuan Image 3 Instruct Text To Image

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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.

Features

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.


Why Choose This?

  • 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.


Parameters

ParameterRequiredDescription
promptYesText description of the image you want to generate
sizeNoPreset aspect ratio: 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3
widthNoOutput width in pixels (256-1536, default: 1024)
heightNoOutput height in pixels (256-1536, default: 1024)
seedNoRandom seed for reproducibility

How to Use

  1. Write your prompt — describe the image you want to create in detail.
  2. Select size preset — choose an aspect ratio that fits your needs.
  3. Adjust dimensions (optional) — fine-tune width and height if needed.
  4. Set seed (optional) — use a fixed seed for reproducible results.
  5. Run — submit and download your image.

Pricing

OutputCost
Per image$0.12

Best Use Cases

  • Creative Illustration — Generate artistic visuals for creative projects.
  • Marketing & Advertising — Create on-brand visuals for campaigns.
  • Social Media Content — Produce eye-catching images for various platforms.
  • Concept Art — Visualize ideas and concepts quickly.
  • E-commerce — Generate product imagery and lifestyle visuals.

Pro Tips

  • Use the Prompt Enhancer to automatically improve your descriptions.
  • Be specific about style, lighting, composition, and mood in your prompt.
  • Use preset size options for common aspect ratios, or customize for specific needs.
  • Keep the same seed when iterating on a prompt to compare changes.
  • Works well with both Chinese and English prompts.

Notes

  • Resolution range is 256-1536 pixels for both width and height.
  • Preset size options automatically adjust width and height for optimal results.
  • For best quality, use detailed, descriptive prompts.

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",
  "seed": -1
}
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-3-instruct/text-to-image" \
  -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 "${PREDICTION_ID}" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL=$(printf '%s' "${TASK}" | jq -r '.urls.get // empty')
if [ -z "${RESULT_URL}" ]; then RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result"; fi

# 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) printf '%s\n' "${RESULT}" | jq . >&2; exit 1 ;;
    created|processing) sleep 2 ;;
    *) printf 'Unexpected status: %s
' "${STATUS}" >&2; exit 1 ;;
  esac
done

Parameters

Task Submission Parameters

Request Parameters

ParameterTypeRequiredDefaultRangeDescription
promptstringYes-The text prompt describing the desired image.
sizestringNo1024*1024-The size of the generated media in pixels (width*height).
seedintegerNo-1-The random seed to use for the generation. -1 means a random seed will be used.

Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
data.idstringUnique identifier for the prediction, Task Id
data.modelstringModel ID used for the prediction
data.outputsarrayOutput values, usually URL strings; some models return text strings or structured result objects (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds

Result Request Parameters

ParameterTypeRequiredDefaultDescription
idstringYes-Task ID

Result Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
dataobjectThe prediction data object containing all details
data.idstringUnique identifier for the prediction
data.modelstringModel ID used for the prediction
data.outputsarray<string | object>Array of generated outputs (empty when status is not completed). Items are usually URL strings, but may be text strings or structured result objects, depending on the model.
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to poll for the prediction result
data.statusstringStatus: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds
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