Hunyuan Image 2.1

Hunyuan Image 2.1

Playground

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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

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

ParameterRequiredDescription
promptYesText description of the image you want to generate.
widthNoOutput width in pixels (default: 1024).
heightNoOutput height in pixels (default: 1024).
seedNoSet for reproducibility; -1 for random.
output_formatNoOutput format: jpeg, png, or webp (default: jpeg).

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

OutputPrice
Per image$0.025

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


# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/hunyuan-image-2.1" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "size": "1024*1024",
    "seed": -1,
    "output_format": "jpeg",
    "enable_sync_mode": false,
    "enable_base64_output": false
}'

# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"

Parameters

Task Submission Parameters

Request Parameters

ParameterTypeRequiredDefaultRangeDescription
promptstringYes-The positive prompt for the generation.
sizestringNo1024*1024256 ~ 1536 per dimensionThe size of the generated media in pixels (width*height).
seedintegerNo-1-1 ~ 2147483647The random seed to use for the generation. -1 means a random seed will be used.
output_formatstringNojpegjpeg, png, webpThe format of the output image.
enable_sync_modebooleanNofalse-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.
enable_base64_outputbooleanNofalse-If enabled, the output will be encoded into a BASE64 string instead of a URL. This property is only available through the API.

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.outputsarrayArray of URLs to the generated content (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.has_nsfw_contentsarrayArray of boolean values indicating NSFW detection for each output
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, the ID of the prediction to get
data.modelstringModel ID used for the prediction
data.outputsstringArray of URLs to the generated content (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
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