自 2025 年 4 月 29 日起,Gemini 1.5 Pro 和 Gemini 1.5 Flash 模型將無法用於先前未使用這些模型的專案,包括新專案。詳情請參閱「
模型版本和生命週期」。
使用 Veo 從圖片生成影片
透過集合功能整理內容
你可以依據偏好儲存及分類內容。
使用 Veo (影片生成專用的生成式 AI 模型),透過圖片製作影片。
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程式碼範例
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[[["容易理解","easyToUnderstand","thumb-up"],["確實解決了我的問題","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["難以理解","hardToUnderstand","thumb-down"],["資訊或程式碼範例有誤","incorrectInformationOrSampleCode","thumb-down"],["缺少我需要的資訊/範例","missingTheInformationSamplesINeed","thumb-down"],["翻譯問題","translationIssue","thumb-down"],["其他","otherDown","thumb-down"]],[],[],[],null,["Create videos from images, using Veo , a generative AI model for video generation.\n\nExplore further\n\n\nFor detailed documentation that includes this code sample, see the following:\n\n- [Generate videos from an image](/vertex-ai/generative-ai/docs/video/generate-videos-from-an-image)\n\nCode sample \n\nPython\n\n\nBefore trying this sample, follow the Python setup instructions in the\n[Vertex AI quickstart using\nclient libraries](/vertex-ai/docs/start/client-libraries).\n\n\nFor more information, see the\n[Vertex AI Python API\nreference documentation](/python/docs/reference/aiplatform/latest).\n\n\nTo authenticate to Vertex AI, set up Application Default Credentials.\nFor more information, see\n\n[Set up authentication for a local development environment](/docs/authentication/set-up-adc-local-dev-environment).\n\n import time\n from google import genai\n from google.genai.types import GenerateVideosConfig, Image\n\n client = genai.Client()\n\n # TODO(developer): Update and un-comment below line\n # output_gcs_uri = \"gs://your-bucket/your-prefix\"\n\n operation = client.models.generate_videos(\n model=\"veo-3.0-generate-preview\",\n prompt=\"Extreme close-up of a cluster of vibrant wildflowers swaying gently in a sun-drenched meadow.\",\n image=Image(\n gcs_uri=\"gs://cloud-samples-data/generative-ai/image/flowers.png\",\n mime_type=\"image/png\",\n ),\n config=GenerateVideosConfig(\n aspect_ratio=\"16:9\",\n output_gcs_uri=output_gcs_uri,\n ),\n )\n\n while not operation.done:\n time.sleep(15)\n operation = client.operations.get(operation)\n print(operation)\n\n if operation.response:\n print(operation.result.generated_videos[0].video.uri)\n\n # Example response:\n # gs://your-bucket/your-prefix\n\nWhat's next\n\n\nTo search and filter code samples for other Google Cloud products, see the\n[Google Cloud sample browser](/docs/samples?product=googlegenaisdk)."]]