Wan 2.2 I2V 5b 720p LoRA
Playground
Try it on WavespeedAI!Wan 2.2 i2v-5B-720p is a 5B image-to-video model producing 720p videos with LoRA support for style customization. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Features
Wan 2.2 i2v-5b-720p-lora
Wan 2.2 5B is a new-generation multimodal video model built by WAN AI. It uses an MoE (Mixture of Experts) architecture with high-noise and low-noise experts allocated across denoising timesteps, enabling sharper detail, cleaner motion, and richer cinematic style in short video clips.
Why it looks great
- Cinematic-level aesthetic control Aligned with professional film-making standards, with fine control over lighting, color palette, composition, camera lens and movement.
- Large-scale complex motion Handles dramatic actions, crowd scenes, character interactions, and challenging camera paths with smooth, stable motion.
- Precise semantic compliance Strong scene understanding and multi-object generation, producing shots that stay close to the creative brief.
- 5B parameter scale The 5-billion-parameter backbone brings higher fidelity textures, more consistent character details, and better temporal coherence.
Pricing
- Just $0.1 per run!
How to Use
- In the prompt box, describe the scene, characters, motion, camera, lighting, and style.
- (Optional) Add up to 3 LoRA adapters in the LoRA section.
- Set the seed (−1 for random, or a fixed number for reproducible runs).
- Click Run and wait for the video to render, then preview and download.
For detailed LoRA tutorials:
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-2.2/i2v-5b-720p-lora" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
"seed": -1
}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${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. | |
| 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 |
| 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 |