alibaba/wan/2.1/image-to-video/lora
Wan 2.1 Lora is Alibaba's image-to-video AI model. Bring static images to life with fluid animation, consistent character motion, and professional-grade video output.
PNG, JPEG, WebP, or GIF · 20 MiB maximum
Example output — click Run to generate your own
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OpenAI-compatible endpoint with unified authentication and usage tracking.
https://api.sandbase.ai/v1/runalibaba/wan/2.1/image-to-video/loraInput Schema
9 parameters · 2 required · 7 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
image | string | Required | URL of the input image. If the input image does not match the chosen aspect ratio, it is resized and center cropped. |
prompt | string | Required | The text prompt to guide video generation. |
seed | integer | Optional | Random seed for reproducibility. If None, a random seed is chosen. |
loras | object[] | Optional | LoRA weights to be used in the inference. · Default: [] |
resolution | string | Optional | Resolution of the generated video (480p or 720p). 480p is 0.5 billing units, and 720p is 1 billing unit. · Options: 480p, 720p · Default: "720p" 480p720p |
turbo_mode | boolean | Optional | If true, the video will be generated faster with no noticeable degradation in the visual quality. · Default: true |
guide_scale | number | Optional | Classifier-free guidance scale. Higher values give better adherence to the prompt but may decrease quality. · Min: 1 · Max: 10 · Default: 5 |
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 |
reverse_video | boolean | Optional | If true, the video will be reversed. · Default: false |
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": "alibaba/wan/2.1/image-to-video/lora",
"image": "https://static.sandbase.ai/examples/alibaba/wan/2.1/image-to-video/lora/input_image_0.png",
"loras": [],
"prompt": "Cars race in slow motion.",
"resolution": "720p",
"turbo_mode": true,
"guide_scale": 5,
"reverse_video": false
}'
# Step 2: Poll result (replace <id>)
curl https://api.sandbase.ai/v1/run/<id> \
-H "Authorization: Bearer YOUR_API_KEY"API README
Wan-2.1 Image-to-Video with LoRAs
Wan-2.1 Image-to-Video with LoRAs is the Wan 2.1 adapted workflow for image-anchored animation. It models visual appearance and time together so the route’s written direction, source imagery, speech, masks, or structural conditions influence one coherent result rather than a collection of disconnected frames or a generic endpoint response.
Choose this exact route when the available assets and deliverable specifically call for image-anchored animation. Identify every subject and source, state the desired action or transformation, then describe camera behavior, pacing, environment, lighting, atmosphere, and preservation requirements; local schema fields handle resolution, duration, seed, and delivery separately from the creative brief.
Highlights
- 2.1 LoRA Reference-frame animation. Uses the supplied still as the visual foundation for motion.
- 2.1 LoRA Subject identity retention. Keeps important appearance cues recognizable as the scene develops.
- 2.1 LoRA Natural temporal movement. Creates coherent subject and environmental dynamics across frames.
- 2.1 LoRA Prompt-directed cinematography. Interprets action, camera movement, pacing, lighting, and atmosphere. The route adds a lightweight task adaptation.
Pricing
| Configuration | Billing unit | Price |
|---|---|---|
| Base generation | Per request | $0.75 |
When to Use
| ✅ Good fit | ❌ Consider alternatives |
|---|---|
| The project needs this exact named workflow | The intended task belongs to another media route |
| All required reference or control media is available | Necessary assets or rights are unavailable |
| The brief can state transformation and preservation goals | Output must be deterministic at pixel or frame level |
| Supported duration, resolution, and format fit delivery | Final placement requires unsupported specifications |
| An asynchronous generated result fits production | A live frame-synchronous response is mandatory |
Prompt Guide
Identify the primary subject and every source or condition, state the intended transformation or action, then describe composition, camera or viewpoint, lighting, materials, pacing, atmosphere, and exact preservation requirements. Refer to multiple inputs in their schema order.
{
"prompt": "A precisely directed composition with explicit subject, transformation, camera or viewpoint, lighting, material, and preservation requirements",
"image": "https://example.com/reference.png",
"seed": 1,
"loras": [],
"resolution": "480p"
}
Technical Specs
| Spec | Value |
|---|---|
| Model ID | alibaba/wan/2.1/image-to-video/lora |
| Input fields | seed (integer)<br>image (string)<br>loras (array)<br>prompt (string)<br>resolution (string; 480p, 720p)<br>turbo_mode (boolean)<br>guide_scale (number)<br>aspect_ratio (string; 21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16)<br>reverse_video (boolean) |
| Required input | prompt, image |
| Output fields | url, content_type |
| Execution | Asynchronous job |
Related Models
alibaba/wan/2.1/text-to-videoalibaba/wan/2.1/image-to-videoalibaba/wan/2.1/vace
