
Wan 2.2 Turbo Image-to-Video API by Atlas Cloud
Image-to-video model for fast single-clip generation with stable motion and 30fps workflow post-processing.
INPUT
OUTPUT
MenungguPermintaan Anda akan dikenakan biaya $0.02 per eksekusi. Dengan $10 Anda dapat menjalankan model ini sekitar 500 kali.
Berikut yang dapat Anda lakukan selanjutnya:
Contoh kode
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": "atlascloud/wan-2.2-turbo/image-to-video",
"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()Instalasi
Instal paket yang diperlukan untuk bahasa pemrograman Anda.
pip install requestsAutentikasi
Semua permintaan API memerlukan autentikasi melalui API key. Anda bisa mendapatkan API key dari dasbor Atlas Cloud.
export ATLASCLOUD_API_KEY="your-api-key-here"HTTP Headers
import os
API_KEY = os.environ.get("ATLASCLOUD_API_KEY")
headers = {
"Content-Type": "application/json",
"Authorization": f"Bearer {API_KEY}"
}Jangan pernah mengekspos API key Anda di kode sisi klien atau repositori publik. Gunakan variabel lingkungan atau proxy backend sebagai gantinya.
Kirim permintaan
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())Kirim Permintaan
Kirim permintaan pembuatan asinkron. API mengembalikan prediction ID yang dapat Anda gunakan untuk memeriksa status dan mengambil hasil.
/api/v1/model/generateVideoIsi Permintaan
import requests
url = "https://api.atlascloud.ai/api/v1/model/generateVideo"
headers = {
"Content-Type": "application/json",
"Authorization": "Bearer $ATLASCLOUD_API_KEY"
}
data = {
"model": "atlascloud/wan-2.2-turbo/image-to-video",
"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']}")Respons
{
"id": "pred_abc123",
"status": "processing",
"model": "model-name",
"created_at": "2025-01-01T00:00:00Z"
}Periksa Status
Polling prediction endpoint untuk memeriksa status permintaan Anda saat ini.
/api/v1/model/prediction/{prediction_id}Contoh Polling
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)Nilai Status
processingPermintaan masih diproses.completedPembuatan selesai. Output tersedia.succeededPembuatan berhasil. Output tersedia.failedPembuatan gagal. Periksa field error.Respons Selesai
{
"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"
}
}Unggah File
Unggah file ke penyimpanan Atlas Cloud dan dapatkan URL yang dapat Anda gunakan dalam permintaan API Anda. Gunakan multipart/form-data untuk mengunggah.
/api/v1/model/uploadMediaContoh Unggah
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}")Respons
{
"data": {
"download_url": "https://storage.atlascloud.ai/uploads/abc123/image.png",
"file_name": "image.png",
"content_type": "image/png",
"size": 1024000
}
}Input Schema
Parameter berikut diterima di isi permintaan.
Tidak ada parameter yang tersedia.
Contoh Isi Permintaan
{
"model": "atlascloud/wan-2.2-turbo/image-to-video"
}Output Schema
API mengembalikan respons prediction dengan URL output yang dihasilkan.
Contoh Respons
{
"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 mengintegrasikan 300+ model AI langsung ke asisten pengkodean AI Anda. Satu perintah untuk menginstal, lalu gunakan bahasa alami untuk menghasilkan gambar, video, dan mengobrol dengan LLM.
Klien yang Didukung
Instalasi
npx skills add AtlasCloudAI/atlas-cloud-skillsAtur API Key
Dapatkan API key dari dasbor Atlas Cloud dan atur sebagai variabel lingkungan.
export ATLASCLOUD_API_KEY="your-api-key-here"Kemampuan
Setelah diinstal, Anda dapat menggunakan bahasa alami di asisten AI Anda untuk mengakses semua model Atlas Cloud.
MCP Server
Atlas Cloud MCP Server menghubungkan IDE Anda dengan 300+ model AI melalui Model Context Protocol. Berfungsi dengan klien apa pun yang kompatibel dengan MCP.
Klien yang Didukung
Instalasi
npx -y atlascloud-mcpKonfigurasi
Tambahkan konfigurasi berikut ke file pengaturan MCP di IDE Anda.
{
"mcpServers": {
"atlascloud": {
"command": "npx",
"args": [
"-y",
"atlascloud-mcp"
],
"env": {
"ATLASCLOUD_API_KEY": "your-api-key-here"
}
}
}
}Alat yang Tersedia
Schema API
Schema tidak tersediaSilakan masuk untuk melihat riwayat permintaan
Anda perlu masuk untuk mengakses riwayat permintaan model Anda.
MasukWan 2.2 Turbo Image-to-Video
Wan 2.2 Turbo Image-to-Video turns a reference image into a short, smooth video clip with fast generation and 30 fps post-processing. It is designed for single-clip motion, quick iteration, and final outputs at 480p, 720p, or 1080p.
Highlights
- Fast single-clip generation: Create a 5 second image-to-video clip from one prompt and one source image.
- Selectable output resolution: Choose 480p, 720p, or 1080p output. 720p and 1080p are produced through the video super-resolution workflow.
- 30 fps output: The workflow applies 30 fps post-processing for smoother playback.
- Prompt-faithful motion: Works best when the prompt describes motion, camera movement, and temporal changes rather than repeating static image details.
Parameters
| Parameter | Required | Description |
|---|---|---|
model | Yes | Use atlascloud/wan-2.2-turbo/image-to-video. |
image | Yes | First-frame image URL or Base64 image. |
prompt | Yes | Text prompt describing the desired motion. |
resolution | No | Output resolution: 480p, 720p, or 1080p. Default: 720p. |
duration | No | Video duration in seconds. Fixed at 5. |
negative_prompt | No | Optional negative prompt. |
seed | No | Random seed for reproducibility; -1 means random. |
Example Request
{ "model": "atlascloud/wan-2.2-turbo/image-to-video", "prompt": "A classic golden Cadillac speeds through a desert road, kicking up dust as the camera tracks alongside it.", "image": "https://static.atlascloud.ai/media/images/db548fe3bd5cafa4ef7e0141d69c8566.jpeg", "duration": 5, "resolution": "1080p", "seed": -1 }
Pricing
Billing is per generated second with a 5 second minimum.
| Resolution | Formula | 5s price |
|---|---|---|
| 480p | $0.0200 x 5 x 1 | $0.10 |
| 720p | $0.0200 x 5 x 2 | $0.20 |
| 1080p | $0.0200 x 5 x 3 | $0.30 |
No model-level discount is applied.
Prompt Tips
- Describe movement: subject motion, camera movement, speed, and timing.
- Keep prompts concise and action-focused.
- Use a clear, well-composed input image with the main subject visible.
- Match the requested motion to what the source image can plausibly support.



