Hunyuan Video 1.5 Image To Video
Playground
Try it on WavespeedAI!HunyuanVideo-1.5 (i2v) is a lightweight 8.3B parameter image-to-video model that generates high-quality videos from images 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 Image-to-Video
HunyuanVideo-1.5 is Tencent’s lightweight, state-of-the-art video generation model. The image-to-video variant on WaveSpeedAI lets you animate a single still image into a smooth, cinematic clip guided by your text prompt, while keeping the original visual style and character identity stable.
Key features
- High-quality image-to-video generation with strong motion coherence
- Lightweight 8.3B-parameter design for fast inference
- Multiple resolutions: 480p, 720p
- Video durations: 5 s, 8 s, and 10 s
Limits and performance
- Input: single image (any reasonable resolution; automatically resized/preprocessed)
- Output: short video clip at selected resolution, duration, and aspect ratio
- Recommended duration: up to 10 seconds per clip
- Best performance with clear, well-lit images and a prompt that specifies motion, camera behavior, and mood
Pricing
| Resolution | Price per second |
|---|---|
| 480p | $0.02 / s |
| 720p | $0.04 / s |
How to use
- Upload your input image (this becomes the starting frame of the video).
- Enter a prompt describing the motion, camera movement, environment changes, and overall mood.
- Choose the resolution: 480p, 720p.
- Select the aspect ratio (16:9 for landscape or 9:16 for vertical/mobile).
- Choose the duration: 5, 8, or 10 seconds.
- Optionally set the seed for reproducibility.
- Run the job and wait for processing.
- Preview the generated video and download it from the WaveSpeedAI dashboard.
Tips for best results
- Use a clean, high-resolution input image; avoid heavy compression and motion blur.
- In the prompt, specify both what moves (hair, clothes, camera, background elements) and what stays stable (character pose, framing).
- Mention camera behavior explicitly (e.g., “slow push-in,” “handheld shake,” “static camera with subtle parallax”).
- Shorter durations (5–8 s) tend to produce the most coherent motion for complex scenes.
- For a series of related clips, reuse the same seed and similar prompts to keep style and identity consistent.
Notes
HunyuanVideo-1.5 I2V is ideal for creators who want fast, controllable animation from still images without heavyweight hardware. It can be combined with high-end image models on WaveSpeedAI (such as Nano Banana Pro or Seedream v4) for a full pipeline: generate a keyframe with an image model, then bring it to life with HunyuanVideo.
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/image-to-video" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
"resolution": "720p",
"duration": 5,
"seed": -1
}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"
Parameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| image | string | Yes | - | The image to generate the video from. Provide URL or base64 encoded image. | |
| prompt | string | No | - | The positive prompt for the generation. Describes the motion and action in the video. | |
| resolution | string | No | 720p | 480p, 720p | The resolution of the generated video. |
| 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 |