Wan 2.2 Image to Video

Name: Alibaba Wan 2.2 Image to Video
Price: 0.5 USD
Availability: InStock
Author: Alibaba

alibaba/wan/2.2/image-to-video

Wan 2.2 by Alibaba - animate still images into dynamic videos with AI. Transform photos into cinematic clips with natural motion, camera movement, and optional audio generation.

Use in agent Get API key

Base price: $0.50USD / run
Execution: async
Model type: video
Input fields: 6

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Playground

Open playground

Input

Prompt(string)

The text prompt to guide video generation.

Image URL(string)

Upload

PNG, JPEG, WebP, or GIF · 20 MiB maximum

URL of the input image. If the input image does not match the chosen aspect ratio, it is resized and center cropped.

This field is required.

End Image URL(string)

Upload

PNG, JPEG, WebP, or GIF · 20 MiB maximum

URL of the end image.

Resolution(string)

Resolution of the generated video (480p, 580p, or 720p). Allowed values: 480p, 720p.

Aspect Ratio(string)

The aspect ratio of the generated image. Allowed values: 21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16.

Seed(integer)

Random seed for reproducibility. If None, a random seed is chosen.

OutputReady

Your output will appear here

Complete the inputs, then click Run.

Model card

Specifications

Pricing

Base price: $0.50 / run

Context & modalities

Input: Schema-defined
Output: video

Capabilities

Chat: Not supported
Vision: Not supported
Reasoning: Not supported
Structured output: Not supported
Function calling: Not supported
Audio input: Not supported

Access

Provider: Alibaba
Model ID: alibaba/wan/2.2/image-to-video
Execution: async
Base URL: https://api.sandbase.ai
API: Unified Run API
Endpoint: /v1/run

API README

Wan 2.2 Image to Video

Wan 2.2 Image-to-Video animates a supplied keyframe while using the prompt to direct subject movement, camera behavior, atmosphere, and the scene's progression. The dedicated I2V-A14B route is built for workflows in which an existing visual must remain the foundation rather than being reinvented from text.

Wan 2.2 uses a mixture-of-experts denoising design that assigns high-noise and low-noise stages to different experts, separating broad composition from later detail refinement. The endpoint supports 480p and 720p delivery, optional end-frame guidance, seed control, and a broad set of aspect ratios for adapting one source image to different placements.

Highlights

Dedicated image-to-video model. I2V-A14B is a separate checkpoint for animating source imagery at both 480p and 720p.

Two-expert denoising. Different experts handle early structural planning and later detail refinement while activating about 14B parameters per step.

Cinematic aesthetic control. Training annotations cover lighting, composition, contrast, color tone, and other visual qualities used in film-oriented prompting.

Start-and-end guidance. An optional ending image can define where the motion should arrive while the first image anchors its opening.

Pricing

Resolution	Price
480p	$0.020 per second
720p (rendered at 1080P)	$0.100 per second

When to Use

✅ Good fit	❌ Consider alternatives
A still image should anchor the video's subject and composition	The whole scene should be invented from text alone
A managed asynchronous result is suitable for the production pipeline	A synchronous, interactive editor is essential
The documented controls cover the required duration, framing, or format	The project needs controls outside this endpoint's schema
Creative iteration benefits from a repeatable request structure	Exact deterministic pixels, frames, geometry, or samples are mandatory
A finished downloadable media asset is the desired deliverable	Editable source layers or a native project file are required

Prompt Guide

For image-conditioned generation, state the intended result first, then add the subject or source treatment, progression, style, and delivery constraints. Keep one creative variable per phrase, use the documented field names for controls, and change one setting at a time when comparing results.

{
  "aspect_ratio": "21:9",
  "image": "https://static.sandbase.ai/examples/alibaba/wan/2.2/image-to-video/input_image_0.jpg",
  "prompt": "The white dragon warrior stands still, eyes full of determination and strength. The camera slowly moves closer or circles around the warrior, highlighting the powerful presence and heroic spirit of the character.",
  "resolution": "720p"
}

Technical Specs

Spec	Value
Model ID	`alibaba/wan/2.2/image-to-video`
Inputs	aspect_ratio, end_image, image, prompt, resolution, seed
Required inputs	prompt, image
Output fields	content_type, url
Execution	Async (submit, then poll for result)
Resolution	480p / 720p
Aspect Ratio	21:9 / 16:9 / 3:2 / 4:3 / 5:4 / 1:1 / 4:5 / 3:4 / 2:3 / 9:16

Related Models

alibaba/wan/2.2/image-to-video/lora — Compare a nearby route in the same local model family.
alibaba/wan/2.2/image-to-video/turbo — Compare a nearby route in the same local model family.
alibaba/wan/2.2/5b/fast/text-to-video — Compare a nearby route in the same local model family.

Start building

Send your first request

OpenAI-compatible endpoint with unified authentication and usage tracking.

Production API

Unified Run API endpoint

https://api.sandbase.ai/v1/run

Model ID

alibaba/wan/2.2/image-to-video

# The quoted heredoc keeps Unicode and shell metacharacters unchanged.
result=$(curl --fail-with-body --silent \
  -X POST "https://api.sandbase.ai/v1/run" \
  -H "Authorization: Bearer $SANDBASE_API_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'SANDBASE_JSON'
{
  "model": "alibaba/wan/2.2/image-to-video",
  "image": "https://static.sandbase.ai/examples/alibaba/wan/2.2/image-to-video/input_image_0.jpg",
  "prompt": "The white dragon warrior stands still, eyes full of determination and strength. The camera slowly moves closer or circles around the warrior, highlighting the powerful presence and heroic spirit of the character.",
  "resolution": "720p"
}
SANDBASE_JSON
)
run_id=$(printf '%s' "$result" | jq -r .id)
for attempt in $(seq 1 120); do
  status=$(printf '%s' "$result" | jq -r .status)
  case "$status" in completed|failed|timeout) break ;; esac
  sleep 2
  result=$(curl --fail-with-body --silent \
    -H "Authorization: Bearer $SANDBASE_API_KEY" \
    "https://api.sandbase.ai/v1/run/$run_id")
done
status=$(printf '%s' "$result" | jq -r .status)
[ "$status" = completed ] || { echo "Generation ended: $status" >&2; exit 1; }
printf '%s\n' "$result"

Choose your model

Compare models

All image & video models

Model	Type	Default price	Released
Wan 2.2 Image to VideoThis model `Alibaba`	Video	$0.50 / run	Jul 28, 2025
Wan 3.0 Prime Video Edit `Alibaba`	Video	$1.40 / run	Oct 4, 2026
Wan 3.0 Prime Video Extend `Alibaba`	Video	$2.80 / run	Oct 4, 2026
Wan 3.0 Video Edit `Alibaba`	Video	$1.00 / run	Oct 4, 2026
Wan 3.0 Video Extend `Alibaba`	Video	$2.00 / run	Oct 4, 2026
Wan 3.0 Prime Text to Video `Alibaba`	Video	$0.70 / run	Aug 24, 2026

Questions

FAQ

How do I call Alibaba Wan 2.2 Image to Video through SandBase?

Create a SandBase API key, then send requests with the model ID "alibaba/wan/2.2/image-to-video" to Unified Run API (/v1/run) at https://api.sandbase.ai. The request examples on this page show the exact payload.

Do I need a separate Alibaba account?

No. One SandBase API key and balance gives you access to Alibaba Wan 2.2 Image to Video and the other models in the catalog; you do not need to sign up with Alibaba separately.