Latest text-to-video model from Kuaishou with sound generation, flexible aspect ratios, and cinematic quality.
INPUT
Memuat konfigurasi parameter...
OUTPUT
MenungguVideo yang dihasilkan akan muncul di sini
Konfigurasikan pengaturan Anda dan klik Jalankan untuk memulai
Permintaan Anda akan dikenakan biaya $0.06 per eksekusi. Dengan $10 Anda dapat menjalankan model ini sekitar 166 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": "kwaivgi/kling-v2.6-pro/text-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.
bash
pip install requestsAutentikasi
Semua permintaan API memerlukan autentikasi melalui API key. Anda bisa mendapatkan API key dari dasbor Atlas Cloud.
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}"
}Jaga keamanan API key Anda
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.
POST
/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": "kwaivgi/kling-v2.6-pro/text-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.
GET
/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.
POST
/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.
Total: 0Wajib: 0Opsional: 0
Tidak ada parameter yang tersedia.
Contoh Isi Permintaan
json
{
"model": "kwaivgi/kling-v2.6-pro/text-to-video"
}Output Schema
API mengembalikan respons prediction dengan URL output yang dihasilkan.
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.
completed_atstring
ISO 8601 timestamp when the prediction was completed.
Contoh Respons
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 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
Claude Code
OpenAI Codex
Gemini CLI
Cursor
Windsurf
VS Code
Trae
GitHub Copilot
Cline
Roo Code
Amp
Goose
Replit
40+ klien yang didukung
Instalasi
bash
npx skills add AtlasCloudAI/atlas-cloud-skillsAtur API Key
Dapatkan API key dari dasbor Atlas Cloud dan atur sebagai variabel lingkungan.
bash
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.
Pembuatan GambarBuat gambar dengan model seperti Nano Banana 2, Z-Image, dan lainnya.
Pembuatan VideoBuat video dari teks atau gambar dengan Kling, Vidu, Veo, dll.
Obrolan LLMMengobrol dengan Qwen, DeepSeek, dan model bahasa besar lainnya.
Unggah MediaUnggah file lokal untuk pengeditan gambar dan alur kerja gambar-ke-video.
Pelajari lebih lanjut
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
Cursor
VS Code
Windsurf
Claude Code
OpenAI Codex
Gemini CLI
Cline
Roo Code
100+ klien yang didukung
Instalasi
bash
npx -y atlascloud-mcpKonfigurasi
Tambahkan konfigurasi berikut ke file pengaturan MCP di IDE Anda.
json
{
"mcpServers": {
"atlascloud": {
"command": "npx",
"args": [
"-y",
"atlascloud-mcp"
],
"env": {
"ATLASCLOUD_API_KEY": "your-api-key-here"
}
}
}
}Alat yang Tersedia
atlas_generate_imageBuat gambar dari prompt teks.
atlas_generate_videoBuat video dari teks atau gambar.
atlas_chatMengobrol dengan model bahasa besar.
atlas_list_modelsJelajahi 300+ model AI yang tersedia.
atlas_quick_generatePembuatan konten satu langkah dengan pemilihan model otomatis.
atlas_upload_mediaUnggah file lokal untuk alur kerja API.
Pelajari lebih lanjut
Schema API
Schema tidak tersediaSilakan masuk untuk melihat riwayat permintaan
Anda perlu masuk untuk mengakses riwayat permintaan model Anda.
MasukKling 2.6 Audio Model - Text to Video
Kling 2.6 introduces audio–video co-generation for the very first time, pairing superb visuals with natural, native audio to deliver a fully coherent, immersive experience — more than just a video clip.
Model Highlights
- Audio–video co-generation introduced for the very first time in the Kling series.
- Voices that sync flawlessly with the character — natural, native, and instantly immersive.
- Generates an entire experience, not just a clip — coherent looking & sounding output that opens up rich narrative possibilities.
- When superb visuals are paired with natural voiceovers, matching sound effects, and immersive ambient sounds, the 2.6 model generates coherent looking & sounding outputs as an entire experience — more than a video clip.
Aspect Ratios
Kling 2.6 supports the following aspect ratios:
- 16:9 – Standard landscape video (YouTube, web, most displays)
- 9:16 – Vertical video (TikTok, Reels, Shorts, Stories)
- 1:1 – Square video (feeds, social posts, ads)
Use Cases
- Marketing and launch videos with native, character-synced voiceover.
- Storytelling and narrative content where visuals and audio must feel like one.
- Product explainers and demo videos with both strong visuals and natural narration.
- Cinematic social media content with immersive ambient sound and effects.
Price
- Without Audio 5s video – $0.35
- Without Audio 10s video – $0.70
- With Audio 5s video – $0.70
- With Audio 10s video – $1.40
How to Use
- Describe your desired scene, characters, motion, and audio mood (voiceover tone, ambience, SFX).
- Choose an aspect ratio (16:9, 9:16, or 1:1) and configure video duration (e.g., 5s or 10s).
- Run generation to create a coherent audio–video experience — See the Sound, Hear the Visual.
- Refine and regenerate as needed for alternative versions or platforms.
