alibaba/wan-2.2/animate-mix

The Wan video character swap model replaces the main character in a video with a character from an image. This model preserves the scene, lighting, and tone of the original video to ensure a seamless result.

IMAGE-TO-VIDEONEW
Wan-2.2 Video Character Swap
Beeld-naar-Video

The Wan video character swap model replaces the main character in a video with a character from an image. This model preserves the scene, lighting, and tone of the original video to ensure a seamless result.

Invoer

Parameterconfiguratie laden...

Uitvoer

Inactief
Uw gegenereerde video's verschijnen hier
Configureer parameters en klik op Uitvoeren om te beginnen met genereren

Elke uitvoering kost 0.126. Voor $10 kunt u ongeveer 79 keer uitvoeren.

Parameters

Codevoorbeeld

import requests
import time

# Step 1: Start video generation
generate_url = "https://api.atlascloud.ai/api/v1/model/generateVideo"
headers = {
    "Content-Type": "application/json",
    "Authorization": "Bearer $ATLASCLOUD_API_KEY"
}
data = {
    "model": "alibaba/wan-2.2/animate-mix",
    "prompt": "A beautiful sunset over the ocean with gentle waves",
    "width": 512,
    "height": 512,
    "duration": 3,
    "fps": 24,
}

generate_response = requests.post(generate_url, headers=headers, json=data)
generate_result = generate_response.json()
prediction_id = generate_result["data"]["id"]

# Step 2: Poll for result
poll_url = f"https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}"

def check_status():
    while True:
        response = requests.get(poll_url, headers={"Authorization": "Bearer $ATLASCLOUD_API_KEY"})
        result = response.json()

        if result["data"]["status"] in ["completed", "succeeded"]:
            print("Generated video:", result["data"]["outputs"][0])
            return result["data"]["outputs"][0]
        elif result["data"]["status"] == "failed":
            raise Exception(result["data"]["error"] or "Generation failed")
        else:
            # Still processing, wait 2 seconds
            time.sleep(2)

video_url = check_status()

Installeren

Installeer het vereiste pakket voor uw programmeertaal.

bash
pip install requests

Authenticatie

Alle API-verzoeken vereisen authenticatie via een API-sleutel. U kunt uw API-sleutel ophalen via het Atlas Cloud dashboard.

bash
export ATLASCLOUD_API_KEY="your-api-key-here"

HTTP-headers

python
import os

API_KEY = os.environ.get("ATLASCLOUD_API_KEY")
headers = {
    "Content-Type": "application/json",
    "Authorization": f"Bearer {API_KEY}"
}
Bescherm uw API-sleutel

Stel uw API-sleutel nooit bloot in client-side code of openbare repositories. Gebruik in plaats daarvan omgevingsvariabelen of een backend-proxy.

Een verzoek indienen

import requests

url = "https://api.atlascloud.ai/api/v1/model/generateVideo"
headers = {
    "Content-Type": "application/json",
    "Authorization": "Bearer $ATLASCLOUD_API_KEY"
}
data = {
    "model": "your-model",
    "prompt": "A beautiful landscape"
}

response = requests.post(url, headers=headers, json=data)
print(response.json())

Een verzoek indienen

Dien een asynchroon generatieverzoek in. De API retourneert een voorspellings-ID waarmee u de status kunt controleren en het resultaat kunt ophalen.

POST/api/v1/model/generateVideo

Verzoekinhoud

import requests

url = "https://api.atlascloud.ai/api/v1/model/generateVideo"
headers = {
    "Content-Type": "application/json",
    "Authorization": "Bearer $ATLASCLOUD_API_KEY"
}

data = {
    "model": "alibaba/wan-2.2/animate-mix",
    "input": {
        "prompt": "A beautiful sunset over the ocean with gentle waves"
    }
}

response = requests.post(url, headers=headers, json=data)
result = response.json()

print(f"Prediction ID: {result['id']}")
print(f"Status: {result['status']}")

Antwoord

{
  "id": "pred_abc123",
  "status": "processing",
  "model": "model-name",
  "created_at": "2025-01-01T00:00:00Z"
}

Status controleren

Bevraag het voorspellings-eindpunt om de huidige status van uw verzoek te controleren.

GET/api/v1/model/prediction/{prediction_id}

Polling-voorbeeld

import requests
import time

prediction_id = "pred_abc123"
url = f"https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}"
headers = { "Authorization": "Bearer $ATLASCLOUD_API_KEY" }

while True:
    response = requests.get(url, headers=headers)
    result = response.json()
    status = result["data"]["status"]
    print(f"Status: {status}")

    if status in ["completed", "succeeded"]:
        output_url = result["data"]["outputs"][0]
        print(f"Output URL: {output_url}")
        break
    elif status == "failed":
        print(f"Error: {result['data'].get('error', 'Unknown')}")
        break

    time.sleep(3)

Statuswaarden

processingHet verzoek wordt nog verwerkt.
completedDe generatie is voltooid. Resultaten zijn beschikbaar.
succeededDe generatie is geslaagd. Resultaten zijn beschikbaar.
failedDe generatie is mislukt. Controleer het foutveld.

Voltooid antwoord

{
  "data": {
    "id": "pred_abc123",
    "status": "completed",
    "outputs": [
      "https://storage.atlascloud.ai/outputs/result.mp4"
    ],
    "metrics": {
      "predict_time": 45.2
    },
    "created_at": "2025-01-01T00:00:00Z",
    "completed_at": "2025-01-01T00:00:10Z"
  }
}

Bestanden uploaden

Upload bestanden naar Atlas Cloud opslag en ontvang een URL die u kunt gebruiken in uw API-verzoeken. Gebruik multipart/form-data om te uploaden.

POST/api/v1/model/uploadMedia

Upload-voorbeeld

import requests

url = "https://api.atlascloud.ai/api/v1/model/uploadMedia"
headers = { "Authorization": "Bearer $ATLASCLOUD_API_KEY" }

with open("image.png", "rb") as f:
    files = {"file": ("image.png", f, "image/png")}
    response = requests.post(url, headers=headers, files=files)

result = response.json()
download_url = result["data"]["download_url"]
print(f"File URL: {download_url}")

Antwoord

{
  "data": {
    "download_url": "https://storage.atlascloud.ai/uploads/abc123/image.png",
    "file_name": "image.png",
    "content_type": "image/png",
    "size": 1024000
  }
}

Invoer-Schema

De volgende parameters worden geaccepteerd in de verzoekinhoud.

Totaal: 0Vereist: 0Optioneel: 0

Geen parameters beschikbaar.

Voorbeeld verzoekinhoud

json
{
  "model": "alibaba/wan-2.2/animate-mix"
}

Uitvoer-Schema

De API retourneert een voorspellingsantwoord met de gegenereerde uitvoer-URL's.

idstringrequired
Unique identifier for the prediction.
statusstringrequired
Current status of the prediction.
processingcompletedsucceededfailed
modelstringrequired
The model used for generation.
outputsarray[string]
Array of output URLs. Available when status is "completed".
errorstring
Error message if status is "failed".
metricsobject
Performance metrics.
predict_timenumber
Time taken for video generation in seconds.
created_atstringrequired
ISO 8601 timestamp when the prediction was created.
Format: date-time
completed_atstring
ISO 8601 timestamp when the prediction was completed.
Format: date-time

Voorbeeldantwoord

json
{
  "id": "pred_abc123",
  "status": "completed",
  "model": "model-name",
  "outputs": [
    "https://storage.atlascloud.ai/outputs/result.mp4"
  ],
  "metrics": {
    "predict_time": 45.2
  },
  "created_at": "2025-01-01T00:00:00Z",
  "completed_at": "2025-01-01T00:00:10Z"
}

Atlas Cloud Skills

Atlas Cloud Skills integreert meer dan 300 AI-modellen rechtstreeks in uw AI-codeerassistent. Eén commando om te installeren, gebruik daarna natuurlijke taal om afbeeldingen, video's te genereren en te chatten met LLMs.

Ondersteunde clients

Claude Code
OpenAI Codex
Gemini CLI
Cursor
Windsurf
VS Code
Trae
GitHub Copilot
Cline
Roo Code
Amp
Goose
Replit
40+ ondersteunde clients

Installeren

bash
npx skills add AtlasCloudAI/atlas-cloud-skills

API-sleutel instellen

Haal uw API-sleutel op via het Atlas Cloud dashboard en stel deze in als omgevingsvariabele.

bash
export ATLASCLOUD_API_KEY="your-api-key-here"

Mogelijkheden

Eenmaal geïnstalleerd kunt u natuurlijke taal gebruiken in uw AI-assistent om toegang te krijgen tot alle Atlas Cloud modellen.

BeeldgeneratieGenereer afbeeldingen met modellen zoals Nano Banana 2, Z-Image en meer.
VideocreatieMaak video's van tekst of afbeeldingen met Kling, Vidu, Veo, enz.
LLM-chatChat met Qwen, DeepSeek en andere grote taalmodellen.
Media uploadenUpload lokale bestanden voor beeldbewerking en afbeelding-naar-video workflows.

MCP-server

De Atlas Cloud MCP-server verbindt uw IDE met meer dan 300 AI-modellen via het Model Context Protocol. Werkt met elke MCP-compatibele client.

Ondersteunde clients

Cursor
VS Code
Windsurf
Claude Code
OpenAI Codex
Gemini CLI
Cline
Roo Code
100+ ondersteunde clients

Installeren

bash
npx -y atlascloud-mcp

Configuratie

Voeg de volgende configuratie toe aan het MCP-instellingenbestand van uw IDE.

json
{
  "mcpServers": {
    "atlascloud": {
      "command": "npx",
      "args": [
        "-y",
        "atlascloud-mcp"
      ],
      "env": {
        "ATLASCLOUD_API_KEY": "your-api-key-here"
      }
    }
  }
}

Beschikbare tools

atlas_generate_imageGenereer afbeeldingen op basis van tekstprompts.
atlas_generate_videoMaak video's van tekst of afbeeldingen.
atlas_chatChat met grote taalmodellen.
atlas_list_modelsBlader door meer dan 300 beschikbare AI-modellen.
atlas_quick_generateContentcreatie in één stap met automatische modelselectie.
atlas_upload_mediaUpload lokale bestanden voor API-workflows.

API Schema

Schema niet beschikbaar

Inloggen om aanvraaggeschiedenis te bekijken

U moet ingelogd zijn om toegang te krijgen tot uw modelaanvraaggeschiedenis.

Inloggen

Alibaba Wan 2.2 Animate Mix

An advanced, unified character animation and replacement model that transfers motion, expressions, and timing from a source clip while preserving the identity of a target character from a single reference image. Animate Mix is part of the Wan 2.2 Animate family and focuses on blending the target identity with source motion for coherent, high-quality video generation.

Overview

  • Purpose: Motion transfer and identity preservation from one image to a full video
  • Core capability: Mix mode fuses target appearance with source motion dynamics
  • Foundation: Built atop Wan2.2 innovations (e.g., MoE-driven diffusion, improved data, high-compression video)
  • Typical output: Smooth 24 fps video at up to 720p with holistic movement and expression replication
  • Use cases: Character animation, avatar replacement, lip-sync, dynamic explainer clips, social content

Key Features

  • One-image-to-video: Animate a character from a single, high-quality portrait or full-body image
  • Motion mix-in: Transfer pose, body motion, facial expressions, and timing from a source video
  • Identity retention: Preserve clothing, face, and hair of the target character while adopting motion
  • Holistic dynamics: Handles subtle micro-expressions, head motion, and body kinematics
  • Robustness: Works across varied camera motions and moderate occlusions with careful input selection
  • Motion + Identity Transfer: Applies actions and facial expressions from a reference video while preserving the target character’s face, hair, and clothing.
  • Dual Modes:
    • Standard Mode (wan-std): Optimized for speed and cost; ideal for previews and basic outputs.
    • Professional Mode (wan-pro): Smoother motion and higher fidelity for production use (higher time/cost).
  • Flexible Input Support: Handles wide image/video resolutions and aspect ratios for diverse pipelines.
  • Long Duration: Supports reference videos from 2 to 30 seconds.
  • Holistic Dynamics: Captures pose, micro‑expressions, head motion, and timing for coherent results.

Designed For

  • Content Creators: Identity-preserving avatar animation for social content.
  • Game Developers: Rapid prototyping of character motion with reference clips.
  • Marketing & Advertising: Transform static assets into dynamic character videos.
  • Animation Enthusiasts: Experiment with motion transfer and identity mixing.

Input Requirements

To achieve the best results, follow these guidelines:

Character Image

  • Content: One person, facing the camera, face fully visible and unobstructed; the subject should occupy a moderate portion of the frame.
  • Format: JPG, JPEG, PNG, BMP, WEBP.
  • Dimensions: Width and height between 200 and 4096 pixels.
  • Aspect Ratio: Between 1:3 and 3:1.
  • File Size: Max 5 MB.

Reference Video (Motion Source)

  • Content: One person with clearly visible face; stable framing improves motion transfer.
  • Format: MP4, AVI, MOV.
  • Duration: 2 to 30 seconds.
  • Dimensions: Width and height between 200 and 2048 pixels.
  • Aspect Ratio: Between 1:3 and 3:1.
  • File Size: Max 200 MB.
  • Recommendation: Higher resolution and frame rate yield better identity preservation and smoother motion.

Pricing

Billing is based on generated video duration and selected mode.

  • Billing Logic: Cost scales with video duration.
  • Mode Multiplier:
    • Standard Mode: 1.0x base rate.
    • Professional Mode: 1.5x base rate.
  • Service transitions to paid billing once the free quota is used; set up a payment method early to avoid interruptions.

How to Use

  1. Upload Character Image: Provide a clear identity reference for the target character.
  2. Upload Reference Video: Select a clip containing the desired motion and expressions.
  3. Select Mode: Choose "Standard" (wan‑std) for speed or "Professional" (wan‑pro) for quality.
  4. Generate: Submit to produce the identity‑preserving animated video.

Best Practices

  • Use high‑resolution, well‑lit images; avoid occlusions and heavy motion blur.
  • Choose a motion source with matching vibe (tempo, style, emotion) to your target.
  • Keep backgrounds simple to reduce artifacts and improve identity retention.
  • Prefer moderate motion complexity; extreme spins or strong occlusions may degrade quality.

Limitations

  • Identity drift may occur with occlusions, extreme camera motion, or low‑quality inputs.
  • Fast‑moving props or complex interactions can introduce artifacts and temporal instability.
  • Lip‑sync quality depends on clarity of the source clip and face visibility in the reference image.

Safety and Content

  • Respect privacy and consent when using identity transfer.
  • Follow platform policies and local regulations.
  • Avoid generating harmful or restricted content.

Version

  • Model: Alibaba Wan 2.2 Animate Mix
  • Family: Wan2.2 Animate (Move/Mix)
  • Technical context: Wan 2.2 with MoE‑driven video diffusion and improved training data

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