使用 Veo 从图片生成视频
使用集合让一切井井有条
根据您的偏好保存内容并对其进行分类。
使用 Veo(一种用于生成视频的生成式 AI 模型)根据图片创作视频。
深入探索
如需查看包含此代码示例的详细文档,请参阅以下内容:
代码示例
如未另行说明,那么本页面中的内容已根据知识共享署名 4.0 许可获得了许可,并且代码示例已根据 Apache 2.0 许可获得了许可。有关详情,请参阅 Google 开发者网站政策。Java 是 Oracle 和/或其关联公司的注册商标。
[[["易于理解","easyToUnderstand","thumb-up"],["解决了我的问题","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["很难理解","hardToUnderstand","thumb-down"],["信息或示例代码不正确","incorrectInformationOrSampleCode","thumb-down"],["没有我需要的信息/示例","missingTheInformationSamplesINeed","thumb-down"],["翻译问题","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 with Veo on Vertex AI 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)."]]