google/veo3/image-to-video

Transform static images into lifelike motion with Veo 3’s Image-to-Video capabilities. Bring photos or concept art to life with fluid movement and cinematic depth.

IMAGE-TO-VIDEOHOTNEW
图生视频

Transform static images into lifelike motion with Veo 3’s Image-to-Video capabilities. Bring photos or concept art to life with fluid movement and cinematic depth.

输入

正在加载参数配置...

输出

空闲
生成的视频将在这里显示
配置参数后点击运行开始生成

每次运行将花费 0.18。$10 可运行约 55 次。

你可以继续:

1. 代码示例

2. Schema

3. LLM 提示词

4. 参数

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/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()

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Veo 3 - Google

Veo3 is Google DeepMind’s latest advancement in text-to-video generation, pushing the boundaries of what AI can create from natural language prompts. With native audio generation, improved prompt adherence, and stunning realism, Veo3 is redefining multimedia content creation.


🔥 Key Features

  • Text to Image and Video

    Generate high-fidelity visuals with cinematic detail directly from your text prompts.

  • Native Audio Generation

    Add ambient noise, sound effects, and dialogue that sync naturally with visuals—no post-production needed.

  • Dialogue & Lip-Sync

    Generate characters speaking your script with accurate lip-sync, opening doors to AI filmmaking and animated storytelling.

  • Game World Creation

    Build immersive video game environments from just a sentence—Veo3’s spatial and physics understanding is a game-changer.

  • High Prompt Accuracy

    Grounded in real-world physics and enhanced by deep prompt comprehension, Veo3 delivers consistent and context-aware outputs.

  • Cinematic Quality

    Output videos in stunning quality, complete with smooth motion and realistic effects.


🧠 Built by Google DeepMind

Trained by world-class researchers at Google DeepMind, Veo3 is engineered for creators, developers, and visionaries looking to push the limits of AI-generated content.


✨ Prompting Tips (from Google’s Guide)

To get the best results, try these prompt strategies:

  • Shot Composition:

    Close-up, two shot, over-the-shoulder

  • Lens & Focus:

    Macro lens, shallow focus, wide-angle lens

  • Genre & Style:

    Sci-fi, romantic comedy, action movie

  • Camera Motion:

    Zoom shot, dolly shot, tracking shot, pan shot


🎬 Example Prompt

Close up shot (composition) of melting icicles (subject) on a frozen rock wall (context) with cool blue tones (ambiance), zoomed in (camera motion) maintaining close-up detail of water drips (action).

详细规格

概览:

模型提供商:GOOGLE
模型类型:image-to-video
部署方式:推理 API;Playground
定价:$0.18

关键参数:

尺寸上限:最大宽度 × 高度(用户可配置)
LoRA 支持:
种子选项:N/A

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