Wan 2.1 I2V 480p LoRA Ultra Fast
Playground
Try it on WavespeedAI!Wan 2.1 i2v 480p Ultra-Fast generates unlimited image-to-video content at 480p, supporting custom LoRAs for style personalization. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Features
Wan 2.1 I2V 480p LoRA Ultra Fast — wavespeed-ai/wan-2.1/i2v-480p-lora-ultra-fast
Wan 2.1 I2V 480p LoRA Ultra Fast is a fast, cost-efficient image-to-video model that animates a single reference image into a short clip guided by your prompt. It supports LoRA injection so you can enforce a specific motion/style/character look while keeping generation lightweight—great for rapid iteration, previews, and high-volume variants.
Key capabilities
- Image-to-video (I2V) generation at 480p
- Prompt-driven motion with coherent, image-anchored composition
- LoRA support for consistent style, motion patterns, or character look
- Tunable quality/speed via inference steps
- Great for quick drafts, storyboards, and large-scale A/B testing
Use cases
- Quick animation passes for key art, avatars, and character cards
- Motion experiments (e.g., 360° rotation, walk cycles, subtle facial motion) using LoRAs
- Fast concept validation for ads and social loops
- Batch generation of multiple motion variants from the same image
- Previews before re-running at higher resolution (720p/1080p)
Pricing
| Resolution | Duration | Price per run | Effective price per second |
|---|---|---|---|
| 480p | 5s | $0.125 | $0.025/s |
| 480p | 10s | $0.188 | $0.019/s |
Inputs
- image (required): reference image that anchors subject and composition
- prompt (required): action + camera + motion intent
- loras (optional): LoRA items to apply (path + scale)
Parameters
- duration: clip length (commonly 5s or 10s)
- num_inference_steps: sampling steps (higher can improve motion coherence)
- guidance_scale: prompt adherence strength
- flow_shift: motion behavior tuning
- negative_prompt: what to avoid (blur, jitter, artifacts, low quality)
- seed: set for reproducible results (-1 for random)
- size: output size preset (e.g., 832×480)
- loras[].path: LoRA identifier (e.g., creator/name) or a safetensors URL
- loras[].scale: LoRA strength (start around 0.8–1.0)
Prompting guide (I2V)
Keep the prompt like a director note:
- Subject: what’s on screen
- Motion: what changes over time (spin, turn, step forward, hair movement)
- Camera: locked-off / slow push-in / orbit / handheld, etc.
- Constraints: “smooth motion”, “no camera shake”, “keep character consistent”
Example prompt
Felt doll standing on a grassy field. The doll slowly rotates for a full 360-degree turn with smooth motion, stable framing, no jitter. Soft daylight, shallow depth of field, gentle background bokeh.
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/wan-2.1/i2v-480p-lora-ultra-fast" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
"loras": [
{
"path": "Remade-AI/Rotate",
"scale": 1
}
],
"size": "832*480",
"num_inference_steps": 30,
"duration": 5,
"guidance_scale": 5,
"flow_shift": 3,
"seed": -1
}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${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 for generating the output. | |
| prompt | string | Yes | - | The positive prompt for the generation. | |
| negative_prompt | string | No | - | The negative prompt for the generation. | |
| loras | array | No | max 3 items | List of LoRAs to apply (max 3). | |
| loras[].path | string | Yes | - | Path to the LoRA model | |
| loras[].scale | float | Yes | - | 0.0 ~ 4.0 | Scale of the LoRA model |
| size | string | No | 832*480 | 832*480, 480*832 | The size of the generated media in pixels (width*height). |
| num_inference_steps | integer | No | 30 | 1 ~ 40 | The number of inference steps to perform. |
| duration | integer | No | 5 | 5 ~ 10 | The duration of the generated media in seconds. |
| guidance_scale | number | No | 5 | 0.00 ~ 20.00 | The guidance scale to use for the generation. |
| flow_shift | number | No | 3 | 1.0 ~ 10.0 | The shift value for the timestep schedule for flow matching. |
| 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 |