WaveSpeedAI APIWavespeed AIWan 2.2 I2V 5b 720p LoRA

Wan 2.2 I2V 5b 720p LoRA

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

  1. In the prompt box, describe the scene, characters, motion, camera, lighting, and style.
  2. (Optional) Add up to 3 LoRA adapters in the LoRA section.
  3. Set the seed (−1 for random, or a fixed number for reproducible runs).
  4. 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

ParameterTypeRequiredDefaultRangeDescription
imagestringYes-The image for generating the output.
promptstringYes-The positive prompt for the generation.
lorasarrayNomax 3 itemsList of LoRAs to apply (max 3).
loras[].pathstringYes-Path to the LoRA model
loras[].scalefloatYes-0.0 ~ 4.0Scale of the LoRA model
seedintegerNo-1-1 ~ 2147483647The random seed to use for the generation. -1 means a random seed will be used.

Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
data.idstringUnique identifier for the prediction, Task Id
data.modelstringModel ID used for the prediction
data.outputsarrayArray of URLs to the generated content (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.has_nsfw_contentsarrayArray of boolean values indicating NSFW detection for each output
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds

Result Request Parameters

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