tencent/hunyuan-video/1.5/image-to-video
Hunyuan Video 1.5 by Tencent - animate still images into dynamic videos with AI. Transform photos into cinematic clips with natural motion, camera movement, and optional audio generation.
PNG, JPEG, WebP, or GIF · 20 MiB maximum
Example output — click Run to generate your own
Send your first request
OpenAI-compatible endpoint with unified authentication and usage tracking.
https://api.sandbase.ai/v1/runtencent/hunyuan-video/1.5/image-to-videoInput Schema
4 parameters · 2 required · 2 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
image | string | Required | URL of the reference image for image-to-video generation. |
prompt | string | Required | The prompt to generate the video from. |
resolution | string | Optional | The resolution of the video. · Default: "480p" |
aspect_ratio | string | Optional | The aspect ratio of the generated image. · Options: 21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16 21:916:93:24:35:41:14:53:42:39:16 |
Output Schema
| Field | Type | Description |
|---|---|---|
id | string | Unique identifier for the generation task |
status | string | Task status: pending, running, completed, failed, timeout |
model | string | Model used for the generation |
outputs | array | Array of output items |
outputs[].url | string | URL of the generated artifact |
outputs[].content_type | string | MIME type (e.g. image/png, video/mp4) |
error | object | null | Error details if failed, null on success |
error.type | string | Machine-readable error type code |
error.message | string | Human-readable error description |
Async Workflow
This model uses asynchronous execution. Submit a request and poll for the result.
- Submit — POST to /v1/run, receive an
id - Poll — GET /v1/run/{id} until status is
completed,failed, ortimeout - Retrieve — Read
outputsfrom the completed response
Code Examples
Ready-to-run snippets
# Step 1: Submit
curl -X POST https://api.sandbase.ai/v1/run \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "tencent/hunyuan-video/1.5/image-to-video",
"image": "https://static.sandbase.ai/examples/tencent/hunyuan-video/1.5/image-to-video/input_image_0.jpg",
"prompt": "A stark starting line divides two powerful cars, engines revving for the challenge ahead. They surge forward in the heat of competition, a blur of speed and chrome. The finish line looms as they race for victory.",
"resolution": "480p"
}'
# Step 2: Poll result (replace <id>)
curl https://api.sandbase.ai/v1/run/<id> \
-H "Authorization: Bearer YOUR_API_KEY"API README
Hunyuan Video 1.5 Image to Video
Teams can place this named operation inside review, asset preparation, and publishing pipelines while keeping the original request attached to every result. Hunyuan Video 1.5 by Tencent - animate still images into dynamic videos with AI. Transform photos into cinematic clips with natural motion, camera movement, and optional audio generation. Hunyuan Video 1.5 Image to Video is designed around the tencent/hunyuan-video/1.5/image-to-video workflow for image to video work in video production. Because tencent/hunyuan-video/1.5/image-to-video is a separate catalog entry, evaluations should use this route’s own inputs, output expectations, and billing behavior. The endpoint is especially useful when a project has a defined transformation goal and needs a repeatable request contract instead of an ad-hoc desktop step. This capability boundary is specific to the endpoint named above.
Hunyuan Video 1.5 Image to Video exposes image, prompt, resolution, aspect_ratio as its documented request surface. image controls uRL of the reference image for image-to-video generation; prompt controls the prompt to generate the video from; resolution controls the resolution of the video; aspect ratio controls the aspect ratio of the generated image; aspect ratio accepts 21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16. The mandatory portion is image, prompt. Applications can submit that exact shape asynchronously, retain the chosen arguments in job metadata, and collect the resulting media URL for review or publishing. For example, the route documentation includes “https://static.sandbase.ai/examples/tencent/hunyuan-video/1.5/image-to-video/input_image_0.jpg”.
Highlights
- Coherent motion. Hunyuan Video 1.5 Image to Video is built to turn the route’s text or reference media into a temporally connected sequence rather than unrelated frames.
- Shot direction. Prompts can describe subject action, camera movement, pacing, and atmosphere so Hunyuan Video 1.5 Image to Video has a concrete motion plan.
- Reference-aware generation. When this route accepts source media, Hunyuan Video 1.5 Image to Video uses it to anchor identity, composition, or the clip boundary throughout generation.
- Production variants. Declared duration, resolution, framing, or inference controls support repeatable video options for review and selection.
Pricing
| Billing option | Price |
|---|---|
| Billing formula | params.duration * 0.075 |
| Each generated second | $0.075000 |
When to Use
| Scenario | Why it fits |
|---|---|
| Choose Hunyuan Video 1.5 Image to Video | Use it when the job specifically calls for image to video and the route’s documented input contract matches assets already available in your workflow. |
| Keep the request reproducible | Use the required image, prompt explicitly, then record optional choices alongside the prompt for repeatable reruns. |
| Build controlled creative variations | Change one declared control at a time when comparing framing, format, duration, resolution, style, or other route-supported output decisions. |
| Integrate asynchronous delivery | Use this endpoint when an application can submit work, track completion, and collect the returned media URL instead of requiring an immediate inline artifact. |
| Validate before a large batch | Run representative prompts and source assets first, confirm the visual or audio behavior, then lock the successful request shape for scaled production. |
Prompt Guide
Lead with the subject or transformation, then add the composition, environment, style, lighting, motion, voice, or fidelity details relevant to this route. Keep every parameter inside the documented schema; the example below uses only fields declared for tencent/hunyuan-video/1.5/image-to-video.
{
"image": "https://static.sandbase.ai/examples/tencent/hunyuan-video/1.5/image-to-video/input_image_0.jpg",
"prompt": "A stark starting line divides two powerful cars, engines revving for the challenge ahead. They surge forward in the heat of competition, a blur of speed and chrome. The finish line looms as they race for victory.",
"resolution": "480p",
"aspect_ratio": "21:9"
}
Technical Specs
| Specification | Details |
|---|---|
| Model ID | tencent/hunyuan-video/1.5/image-to-video |
| Execution mode | async |
| Task type | video |
image | string · required |
prompt | string · required |
resolution | string · optional |
aspect_ratio | string · optional · choices: 21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16 |