Hunyuan Video 1.5 Text To Video
Playground
Try it on WavespeedAI!HunyuanVideo-1.5 (t2v) is a lightweight 8.3B parameter text-to-video model that generates high-quality videos with top-tier visual quality and motion coherence. Optimized for fast inference on consumer-grade GPUs. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Features
HunyuanVideo-1.5 Text-to-Video
HunyuanVideo-1.5 is Tencent’s lightweight text-to-video generation model that delivers state-of-the-art visual quality and motion coherence with only 8.3B parameters. It is designed to be both powerful and efficient, making high-quality video generation accessible for everyday creators and production workflows on WaveSpeedAI.
Key Features
- High-quality video generation directly from text prompts
- Lightweight 8.3B parameters for fast inference on consumer-grade GPUs
- Video durations: 5 s, 8 s, and 10 s
- Strong motion coherence and stable subject identity
Pricing
| Resolution | Price per second |
|---|---|
| 480p | $0.02 / s |
| 720p | $0.04 / s |
How to Use
- Write your text prompt describing the scene, characters, motion, camera movement, and overall style.
- Select the duration: 5 s, 8 s, or 10 s.
- Optionally tweak inference steps or seed to balance speed, quality, and reproducibility.
- Run the job from the WaveSpeedAI interface.
- Preview the generated clip and download it from the dashboard.
Tips for Best Results
- Be explicit: describe who is in the scene, what they are doing, where they are, and how the camera moves.
- Mention style and mood (for example, “cinematic lighting,” “handheld documentary,” “anime style,” “neon cyberpunk city”).
- Shorter clips (5–8 s) generally produce the most coherent and visually stable results.
- Reuse similar prompts and seeds when you want a series of related shots that share style and characters.
Upscaling for Higher Quality
After generating your base video with HunyuanVideo-1.5, you can use WaveSpeedAI’s dedicated video super-resolution models to enhance clarity and sharpness:
Generate efficiently at 480p or 720p, then upscale to higher resolutions for a better final viewing experience.
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-video-1.5/text-to-video" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
"size": "1280*720",
"duration": 5,
"seed": -1
}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"
Parameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| prompt | string | Yes | - | The positive prompt for the generation. | |
| negative_prompt | string | No | - | The negative prompt for the generation. | |
| size | string | No | 1280*720 | 832*480, 480*832, 1280*720, 720*1280 | The size of the generated video in pixels (width*height). |
| duration | integer | No | 5 | 5, 8 | The duration of the generated video in seconds. |
| seed | integer | No | -1 | -1 ~ 2147483647 | The random seed to use for the generation. -1 means a random seed will be used. |
Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data.id | string | Unique identifier for the prediction, Task Id |
| data.model | string | Model ID used for the prediction |
| data.outputs | array | Array of URLs to the generated content (empty when status is not completed) |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.has_nsfw_contents | array | Array of boolean values indicating NSFW detection for each output |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |
Result Request Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| id | string | Yes | - | Task ID |
Result Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data | object | The prediction data object containing all details |
| data.id | string | Unique identifier for the prediction, the ID of the prediction to get |
| data.model | string | Model ID used for the prediction |
| data.outputs | string | Array of URLs to the generated content (empty when status is not completed). |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |