Wan 2.1 Ditto
Playground
Try it on WavespeedAI!Wan2.1-DITTO is a unified model for video-to-video generation with holistic movement and expression replication.
Features
Wan2.1-DITTO
Wan2.1-DITTO is an optimized video-to-video generation model that transforms existing footage into new visual styles guided by text or style prompts. With unified diffusion tuning, it delivers cinematic motion, smooth temporal consistency, and vivid artistic expression across multiple resolutions.
Why it looks great
- Unified Diffusion Core – Enhances motion smoothness and temporal consistency across frames.
- Style-flexible generation – Switch seamlessly between realism, anime, sketch, or cinematic tones.
- Precision color mapping – Retains natural tones and contrast even in stylized conversions.
- Resolution scalability – Available in both 480p and 720p, optimized for balance between speed and clarity.
- Consistent motion fidelity – Avoids flicker and deformation during high-action sequences.
Pricing
| Output Resolution | Price per 5 seconds | Max Length | 
|---|---|---|
| 480p (Standard) | $0.20 | 120 s | 
| 720p (HD) | $0.40 | 120 s | 
How to Use
- Enter prompt — Describe or select the desired style for your video.
- Choose resolution — 480p or 720p.
- Run generation — Wait for AI rendering and preview results.
- Review & iterate — Fix seedfor reproducibility, changeseedfor variation.
Pro tips for best quality
- 
Keep your source video stable and clear for best transformation results. 
- 
Higher resolution (720p) is ideal for professional output, while 480p suits faster drafts. 
Note
- 
Actual render time varies with resolution and server load. 
- 
Videos longer than 120 s should be split into multiple segments and merged after processing. 
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/ditto" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "prompt": "MoeAnime",
    "resolution": "480p",
    "seed": -1
}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"
Parameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description | 
|---|---|---|---|---|---|
| video | string | Yes | - | URL to the video to use as the input for the generation. | |
| prompt | string | Yes | RealDomain, FireScene, Steampunk, JapaneseAnime, PencilSketch, PixelArt, Claymation, Ukiyo-e, Renaissance, VanGogh, Cyberpunk, Watercolor, ComicBook, ChildrenBook, Charcoal, RickAndMorty, SpiritedAway, MoeAnime, Pixar, GoldenAge, MyLittlePony, BronzeSculpture, CandySculpture, ChocolateSculpture, SilverSculpture, GoldSculpture, RustedIronSculpture, GlassSculpture, BrickSculpture, IceSculpture, SlimeSculpture, 3DChibi, Fabric, Ghibli, Jojo, Lego, PaperCutting | The style prompt for the generation. | |
| resolution | string | No | 480p | 480p, 720p | The resolution of the output video. | 
| 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, orfailed | 
| 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 |