google/veo3.1/image-to-video

gambar-ke-video

Veo3.1 Image-to-Video API by Google

google/veo3.1/image-to-video

Image-to-video

Quickly animate static images into motion-rich, high-quality clips. Veo 3.1 Fast Image-to-Video accelerates rendering for fast previews and iterative visual storytelling.

INPUT

Memuat konfigurasi parameter...

OUTPUT

Menunggu

Video yang dihasilkan akan muncul di sini

Konfigurasikan pengaturan Anda dan klik Jalankan untuk memulai

Permintaan Anda akan dikenakan biaya $0.2 per eksekusi. Dengan $10 Anda dapat menjalankan model ini sekitar 50 kali.

Berikut yang dapat Anda lakukan selanjutnya:

Seedance 2.0 Kling v3 Vidu Wan2.7

Parameter

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": "google/veo3.1/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.

bash

pip install requests

Autentikasi

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/generateVideo

Isi Permintaan

import requests

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

data = {
    "model": "google/veo3.1/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.

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/uploadMedia

Contoh 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": "google/veo3.1/image-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.

Format: date-time

completed_atstring

ISO 8601 timestamp when the prediction was completed.

Format: date-time

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-skills

Atur 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

github.com/AtlasCloudAI/atlas-cloud-skills

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-mcp

Konfigurasi

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

github.com/AtlasCloudAI/mcp-server

Schema API

Schema tidak tersedia

Silakan masuk untuk melihat riwayat permintaan

Anda perlu masuk untuk mengakses riwayat permintaan model Anda.

Masuk

Google Veo 3.1 — Image-to-Video (I2V) Model

Veo 3.1 I2V is Google DeepMind’s latest image-to-video generation model — an evolution of Veo’s cinematic foundation. It transforms a single still image or a pair of start & end frames into a high-fidelity 1080p motion sequence with natural movement, realistic lighting, and synchronized contextual audio.

Perfect for storyboarding, concept animation, and creative scene development, Veo 3.1 I2V captures the feeling of camera motion and environmental change while preserving your image’s style and composition.

Why it stands out

** Cinematic Motion Generation**

Animates still images with realistic subject and camera movement — from subtle pans to sweeping transitions.
** Frame Interpolation**

Supports single-frame animation and two-frame transitions — letting you morph from one image to another with fluid continuity.
** Native Audio Support**

Adds synchronized ambient sound, dialogue, or music automatically aligned with visual motion.
** Contextual Understanding**

Interprets both image content and prompt text to guide scene flow and atmosphere.
** High-Resolution Output**

Generates at 720p or 1080p, 24 FPS, and supports landscape (16:9) or portrait (9:16) aspect ratios.

Key Parameters

prompt — Describe motion or story context (e.g., “Slow dolly zoom on a city skyline as sunset light fades”).
image — Provide a starting frame (JPEG / PNG / WEBP).
lastFrame (optional) — Provide an ending frame to create an interpolation-style transition.
durationSeconds — Choose video length: 4s, 6s, or 8s.
resolution — 720p or 1080p.
aspectRatio — Landscape (16:9) or Portrait (9:16).

Pricing (Preview Stage)

Model	Description	Input Type	Output	Price
Veo 3.1 (Video + Audio)	Generate videos with synchronized sound	Image / Image Pair	Video + Audio	$0.40 / sec
Veo 3.1 (Video only)	Generate silent motion sequences	Image / Image Pair	Video	$0.20 / sec

Typical cost: ~$3.20 for an 8-second 1080p video (standard mode).

How to Use

Upload your starting image

Use a clear, well-lit frame.
(Optional) Add a last frame

Provide an ending image if you want a smooth transition.
Write your prompt

Describe the motion or transformation (e.g., “camera slowly zooms out as night falls”).
Set parameters

Choose duration (4s / 6s / 8s), resolution (720p / 1080p), and aspect ratio (16:9 or 9:16).
Generate video

Submit your request — Veo 3.1 I2V will produce motion, lighting, and audio automatically.

Pro Tips

Use consistent framing between start and end images for smoother interpolation.
Add camera verbs like “pan,” “tilt,” “dolly,” for cinematic control.
Keep prompts concise and clear — focus on movement and lighting.
For realistic transitions, limit drastic composition or color shifts between frames.
To ensure repeatability, use the same random seed value.

Notes & Limitations

Supported durations: 4, 6, or 8 seconds.
Frame rate: 24 FPS (fixed).
Generation time: ~2–3 minutes for 8s @1080p.

Jelajahi Model Serupa

NEW

teks-ke-video

Veo 3.1 Lite Text-to-video

High-efficiency Veo 3.1 Lite text-to-video: create video with synchronized audio from text prompts. Targets high-volume applications with strong price efficiency; 720p/1080p and flexible duration options. Does not support 4K outputs or Extension.

Veo 3.1 Lite Start-End Frame to Video

Veo 3.1 Lite start-end frame to video: generate motion between a first and last frame with audio. Lightweight, developer-oriented option with 8s duration and 720p/1080p. Does not support 4K outputs or Extension.

Veo 3.1 Lite Image-to-video

High-efficiency Veo 3.1 Lite image-to-video: animate an input image into video with synchronized audio. Cost-effective for scalable workflows; supports 720p/1080p and common aspect ratios. Does not support 4K outputs or Extension.

Veo3.1 Fast Image-to-video

Bring still images to life with smooth, expressive motion. Veo 3.1 Image-to-Video transforms photos or keyframes into cinematic video sequences with realistic continuity and sound.

From

$0.08/DETIK

Mulai dari 300+ Model,

Jelajahi semua model

Veo3.1 Image-to-Video API by Google

INPUT

OUTPUT

Parameter

Contoh kode

Instalasi

Autentikasi

HTTP Headers

Kirim permintaan

Kirim Permintaan

Isi Permintaan

Respons

Periksa Status

Contoh Polling

Nilai Status

Respons Selesai

Unggah File

Contoh Unggah

Respons

Input Schema

Contoh Isi Permintaan

Output Schema

Contoh Respons

Atlas Cloud Skills

Klien yang Didukung

Instalasi

Atur API Key

Kemampuan

MCP Server

Klien yang Didukung

Instalasi

Konfigurasi

Alat yang Tersedia

Schema API

Silakan masuk untuk melihat riwayat permintaan

Google Veo 3.1 — Image-to-Video (I2V) Model

Why it stands out

Key Parameters

Pricing (Preview Stage)

How to Use

Pro Tips

Notes & Limitations

Jelajahi Model Serupa

Veo 3.1 Lite Text-to-video

Veo 3.1 Lite Start-End Frame to Video

Veo 3.1 Lite Image-to-video

Veo3.1 Fast Image-to-video

Mulai dari 300+ Model,

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