Wan 2.2 Vace Inpainting is an advanced video-to-video generative AI model designed primarily for high-quality inpainting tasks in video content. It facilitates seamless video editing by enabling users to mask and modify specific regions in videos, maintaining contextual continuity, motion consistency, and fine detail restoration. This model integrates cutting-edge multimodal understanding and adaptive video generation technologies, optimized for resolutions up to 720p.
vs Seedance 1.0: Seedance 1.0 provides slightly better frame rate output at 24 fps compared to Wan 2.2's 16 fps, beneficial for ultra-smooth video generation. However, Wan 2.2 offers better integration for inpainting flexibility and runs efficiently on more modest hardware setups, making it more accessible for creators.
vs Veo 3: Veo 3 leads on advanced closed-source video enhancement with superior resolution and speed but at a significantly higher cost. Wan 2.2 competes well as an open-source alternative with strong multimodal inpainting capabilities and easier API integration, suitable for broad professional use.
vs Generic Baseline Video Inpainting: Compared to basic baseline models, Wan 2.2 delivers significantly improved texture detail restoration and motion coherence. Baseline models often produce more artifacts and flickering, making Wan 2.2 the preferable choice for quality video inpainting projects.
Accessible via AI/ML API. Documentation: available here.
import requests, time headers = {"Authorization": "Bearer " + AIMLAPI_KEY} job = requests.post( "https://api.aimlapi.com/v2/video/generations", headers=headers, json={ "model": "wan-22-vace-fun-a14b/inpainting", "prompt": "A serene timelapse of clouds over a mountain range" }, ).json() gid = job["id"] while True: res = requests.get(f"https://api.aimlapi.com/v2/video/generations?generation_id={gid}", headers=headers).json() if res.get("status") in ("completed", "error"): break time.sleep(5) print(res["video"]["url"])
const headers = { Authorization: `Bearer ${process.env.AIMLAPI_KEY}`, "Content-Type": "application/json", }; const job = await (await fetch("https://api.aimlapi.com/v2/video/generations", { method: "POST", headers, body: JSON.stringify({ "model": "wan-22-vace-fun-a14b/inpainting", "prompt": "A serene timelapse of clouds over a mountain range" }), })).json(); let res; do { await new Promise((r) => setTimeout(r, 5000)); res = await (await fetch(`https://api.aimlapi.com/v2/video/generations?generation_id=${job.id}`, { headers })).json(); } while (!["completed", "error"].includes(res.status)); console.log(res.video.url);
# submit the generation — the response contains the job "id" curl -X POST https://api.aimlapi.com/v2/video/generations \ -H "Authorization: Bearer $AIMLAPI_KEY" \ -H "Content-Type: application/json" \ -d '{"model":"wan-22-vace-fun-a14b/inpainting","prompt":"A serene timelapse of clouds over a mountain range"}' # then poll until status is "completed" — video.url holds the result curl "https://api.aimlapi.com/v2/video/generations?generation_id={id}" -H "Authorization: Bearer $AIMLAPI_KEY"
OpenAI-compatible — swap the base URL and it works with your existing SDK.
| Type | Price |
|---|---|
| Output | |
| Model | Input | Output | Context | Best for |
|---|---|---|---|---|
Wan 2.2 Vace Inpainting This page | Video generation |
Wan 2.2 Vace Inpainting takes text, video as input and returns video.
Wan 2.2 Vace Inpainting is priced at $0.065 / gen.
Wan 2.2 Vace Inpainting is billed per generation — a fixed charge per output rather than by prompt length.
Wan 2.2 Vace Inpainting was built by Alibaba Cloud.
Send a request to v2/video/generations with wan-22-vace-fun-a14b/inpainting as the model id.
Yes. Wan 2.2 Vace Inpainting is served through AI/ML API, so the same key and endpoint format used for other models applies.
It is classified as a video generation model with video editing features.
-min.webp){kind=small}
