Wan 2.2 I2V 720p Ultra Fast

Playground

Generate unlimited ultra-fast 720p AI videos from images with Wan 2.2 A14B image-to-video model. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

Wan 2.2 Image-to-Video 720p Ultra Fast

Generate dynamic 720p videos from images at blazing speed with Wan 2.2 Ultra Fast. This optimized model supports both single-image animation and start-to-end frame interpolation — perfect for action sequences, POV content, and rapid creative iteration.

Why It Looks Great

Ultra-fast generation: Optimized for speed without sacrificing quality.
Start-to-end interpolation: Optionally provide a last frame for smooth transitions between two images.
720p HD output: Sharp, clean video quality for most digital platforms.
Action-ready: Excels at dynamic motion, POV shots, and fast-paced content.
Negative prompt support: Exclude unwanted elements for precise control.
Prompt Enhancer: Built-in tool to refine your motion descriptions automatically.
Reproducible results: Use the seed parameter to recreate exact outputs.

Parameters

Parameter	Required	Description
image	Yes	Source/starting image to animate (upload or public URL).
prompt	Yes	Text description of the motion and action you want.
negative_prompt	No	Elements to avoid in the generated video.
last_image	No	Optional ending frame for start-to-end interpolation (upload or URL).
duration	No	Video length: 5 or 8 seconds. Default: 5.
seed	No	Random seed for reproducibility. Use -1 for random.

How to Use

Upload your starting image — drag and drop or paste a public URL.
Write your prompt — describe the motion, camera work, and action in detail.
Use Prompt Enhancer (optional) — click to enrich your motion description.
Add negative prompt (optional) — specify elements to exclude.
Upload last image (optional) — add an ending frame for interpolation effects.
Set duration — choose 5 or 8 seconds.
Set seed (optional) — for reproducible results.
Run — click the button to generate.
Download — preview and save your video.

Pricing

Per 5-second billing based on duration.

Duration	Calculation	Cost
5 seconds	5 ÷ 5 × $0.10	$0.10
8 seconds	8 ÷ 5 × $0.10	$0.16

Volume Examples

Videos	Duration	Total Cost
10	5s	$1.00
10	8s	$1.60
50	5s	$5.00
50	8s	$8.00

Best Use Cases

POV Action Content — Create immersive first-person perspective videos like biking, driving, or sports.
Rapid Prototyping — Test concepts quickly before committing to higher-quality generation.
Motion Transitions — Use start and end frames to create smooth morphing or scene transitions.
Social Media Content — Generate engaging videos optimized for fast turnaround.
Dynamic Scenes — Animate images with fast-paced motion, camera shake, and action effects.

Example Prompts

“GoPro-style POV mountain biking downhill through a dense forest at extreme speed. Leaves and branches whip past the camera, quick motion blur streaking across the frame. The handlebar vibrates violently during sharp turns, the fisheye lens adding a dynamic warp.”
“Cinematic drone shot flying through canyon walls, dynamic camera movement, epic scale”
“First-person running through city streets at night, neon lights blurring past, urgent pace”
“Slow zoom out revealing the full landscape, clouds drifting across the sky”
“Camera tracking alongside a speeding car, motion blur on background, action movie style”

Start-to-End Interpolation

When you provide both an image and a last_image, the model creates a smooth video transition between the two frames:

Use Case	How to Use
Scene transitions	Start with day scene, end with night scene
Morphing effects	Start with one expression, end with another
Movement sequences	Start position to end position
Zoom effects	Wide shot to close-up (or vice versa)

Pro Tips for Best Results

For POV content, describe camera characteristics: “GoPro-style”, “fisheye lens”, “motion blur”.
Include action words: “whip past”, “vibrate”, “streak”, “blur” for dynamic motion.
Use last_image when you want controlled start-to-end transitions.
Negative prompts like “static”, “frozen”, “still” can encourage more motion.
Ultra Fast is ideal for testing — iterate quickly, then use higher-quality models for finals.
Match the energy of your prompt to the content: fast words for action, gentle words for calm scenes.

Notes

If using URLs for images, ensure they are publicly accessible. Preview thumbnails confirm successful loading.
Ultra Fast prioritizes speed — for maximum quality, consider standard Wan 2.2 variants.
Processing is optimized for rapid turnaround, perfect for high-volume workflows.
The last_image feature enables creative interpolation effects not possible with single-image input.

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-720p-ultra-fast" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "duration": 5,
    "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.
last_image	string	No	-	-	The last image for generating the output.
duration	integer	No	5	5, 8	The duration of the generated media in seconds.
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

Wan 2.2 I2V 720p LoRA Ultra Fast Wan 2.2 I2V LoRA Trainer