HunyuanImage-3.0
HunyuanImage-3.0 is an 80B parameter MoE model for high fidelity text to image generation. It uses an autoregressive multimodal framework for strong world knowledge reasoning and sharp text rendering. It targets complex long prompts and precise layout control for production workloads.

Complete technical specification for integration
Ready-to-use code snippets for common workflows
API Options
Platform-level options for task execution and delivery.
taskType
stringrequiredvalue: imageInferenceIdentifier for the type of task being performed
taskUUID
stringrequiredUUID v4UUID v4 identifier for tracking tasks and matching async responses. Must be unique per task.
outputType
stringdefault: URLImage output type.
Allowed values3 values
outputFormat
stringdefault: JPGSpecifies the file format of the generated output. The available values depend on the task type and the specific model's capabilities.
- `JPG`: Best for photorealistic images with smaller file sizes (no transparency).
- `PNG`: Lossless compression, supports high quality and transparency (alpha channel).
- `WEBP`: Modern format providing superior compression and transparency support.
**Transparency**: If you are using features like background removal or LayerDiffuse that require transparency, you must select a format that supports an alpha channel (e.g., `PNG`, `WEBP`, `TIFF`). `JPG` does not support transparency.Allowed values3 values
outputQuality
integermin: 20max: 99default: 95Compression quality of the output. Higher values preserve quality but increase file size.
webhookURL
stringuriSpecifies a webhook URL where JSON responses will be sent via HTTP POST when generation tasks complete. For batch requests with multiple results, each completed item triggers a separate webhook call as it becomes available.
Learn more1 resource
- WebhooksPLATFORM
- Webhooks
deliveryMethod
stringdefault: syncDetermines how the API delivers task results.
Allowed values2 values
- Returns complete results directly in the API response.
- Returns an immediate acknowledgment with the task UUID. Poll for results using getResponse.
Learn more1 resource
- Task PollingPLATFORM
uploadEndpoint
stringuriSpecifies a URL where the generated content will be automatically uploaded using the HTTP PUT method. The raw binary data of the media file is sent directly as the request body. For secure uploads to cloud storage, use presigned URLs that include temporary authentication credentials.
Common use cases:
- Cloud storage: Upload directly to S3 buckets, Google Cloud Storage, or Azure Blob Storage using presigned URLs.
- CDN integration: Upload to content delivery networks for immediate distribution.
// S3 presigned URL for secure upload https://your-bucket.s3.amazonaws.com/generated/content.mp4?X-Amz-Signature=abc123&X-Amz-Expires=3600 // Google Cloud Storage presigned URL https://storage.googleapis.com/your-bucket/content.jpg?X-Goog-Signature=xyz789 // Custom storage endpoint https://storage.example.com/uploads/generated-image.jpgThe content data will be sent as the request body to the specified URL when generation is complete.
safety
objectContent safety checking configuration for image generation.
Properties1 property
safety»checkContentcheckContent
booleanEnable or disable content safety checking.
ttl
integermin: 60Time-to-live (TTL) in seconds for generated content. Only applies when
outputTypeisURL.
includeCost
booleanInclude task cost in the response.
numberResults
integermin: 1max: 20default: 1Number of results to generate. Each result uses a different seed, producing variations of the same parameters.
acceleration
stringdefault: mediumOptimization level.
Allowed values2 values
acceleratorOptions
objectAdvanced caching mechanisms to speed up generation.
Properties7 properties
acceleratorOptions»cacheEndStepcacheEndStep
integermin: 1Absolute step number to end caching. Must be greater than
cacheStartStepand less than or equal tosteps.
acceleratorOptions»cacheEndStepPercentagecacheEndStepPercentage
integermin: 1max: 100Percentage of steps to end caching. Alternative to
cacheEndStep. Must be greater thancacheStartStepPercentage.
acceleratorOptions»cacheMaxConsecutiveStepscacheMaxConsecutiveSteps
integermin: 1max: 5default: 3Limits the maximum number of consecutive steps that can use cached computations before forcing a fresh computation.
acceleratorOptions»cacheStartStepcacheStartStep
integermin: 0Absolute step number to start caching. Must be less than
cacheEndStep.
acceleratorOptions»cacheStartStepPercentagecacheStartStepPercentage
integermin: 0max: 99Percentage of steps to start caching. Alternative to
cacheStartStep. Must be less thancacheEndStepPercentage.
acceleratorOptions»teaCacheteaCache
booleanTeaCache acceleration for transformer-based models. Estimates step differences to skip redundant computations.
acceleratorOptions»teaCacheDistanceteaCacheDistance
floatmin: 0max: 1step: 0.01default: 0.5Controls the aggressiveness of the TeaCache feature. Lower values prioritize quality, higher values prioritize speed.
Core Parameters
Primary parameters that define the task output.
model
stringrequiredvalue: runware:180@1Identifier of the model to use for generation.
Learn more3 resources
positivePrompt
stringrequiredmin: 2max: 3000Text prompt describing elements to include in the generated output.
Learn more1 resource
- PromptsLEARN
- Prompts
negativePrompt
stringmin: 2max: 3000Prompt to guide what to exclude from generation. Ignored when guidance is disabled (CFGScale ≤ 1).
Learn more1 resource
Width of the generated media in pixels.
Learn more2 resources
Height of the generated media in pixels.
Learn more2 resources
seed
integermin: 0max: 9223372036854776000Random seed for reproducible generation. When not provided, a random seed is generated in the unsigned 32-bit range.
Learn more1 resource
- SeedLEARN
- Seed
steps
integermin: 1max: 100default: 20Total number of denoising steps. Higher values generally produce more detailed results but take longer.
Learn more1 resource
- StepsLEARN
- Steps
scheduler
stringScheduler to use for the diffusion process.
Allowed values75 values
Learn more2 resources
Features
Standalone addons and post-processing features.
watermark
objectConfiguration object for adding watermarks to generated videos. Watermarks can be applied using either text or image content with customizable positioning and appearance. You must provide either
textorimagecontent for the watermark, but not both."advancedFeatures": { "watermark": { "text": "© 2025 Company", "displayPosition": "bottom-right", "opacity": 0.6, "fontColor": "#ffffff", "bgColor": "#000000" } }"advancedFeatures": { "watermark": { "image": "c64351d5-4c59-42f7-95e1-eace013eddab", "displayPosition": "top-left", "opacity": 0.6 } }"advancedFeatures": { "watermark": { "text": "PREVIEW", "tiled": true, "opacity": 0.4, "fontColor": "#cccccc" } }Properties7 properties
watermark»texttext
stringmin: 2max: 32Watermark text.
watermark»imageimage
stringWatermark image (UUID, URL, Data URI, or Base64).
watermark»displayPositiondisplayPosition
stringWatermark position.
Allowed values9 values
watermark»tiledtiled
booleanEnable tiled watermark.
watermark»opacityopacity
floatmin: 0.1max: 1step: 0.01Watermark opacity.
watermark»fontColorfontColor
stringText color in hex format.
watermark»bgColorbgColor
stringBackground color in hex format.