Generate AI videos from text prompts or images via the Google Veo API.
npx skills add https://github.com/AceDataCloud/Skills --skill veo-video-acedatacloud
Please help me install this Agent Skill. Skill: veo-video Source: https://github.com/AceDataCloud/Skills/tree/main/skills/veo-video Command: npx skills add https://github.com/AceDataCloud/Skills --skill veo-video-acedatacloud
This Skill removes the friction of turning text prompts or images into high-quality AI videos, including iterative edits like extending, reshooting, upscaling, and adding/removing objects.
Example: You describe a scene in natural language, generate a short video, then extend it and reshoot with different camera motion to match your desired pacing.
Use veo-video to generate a text-to-video clip from a prompt by sending your prompt and selecting a Veo model and output resolution.
High-intent search queries and answers about installing and using this skill.
To generate AI video with Google Veo, you submit text prompts or reference images to the API. This process supports text-to-video, image-to-video, and multi-image blending to create cinematic motion.
Yes, you can perform post-generation edits like upscaling to 1080p, extending a scene, reshooting with new camera motion, and inserting or removing objects via mask inpainting.
Native audio generation for AI video is supported exclusively on Veo 3 and Veo 3.1 models. Veo 2 is available for cost-effective generation but lacks native audio support.
Yes, you need an ACEDATACLOUD_API_TOKEN for authentication to generate videos with Google Veo. This token enforces action- and model-specific parameter constraints like aspect_ratio.
Image-to-video generation with Google Veo requires specific parameter constraints like aspect_ratio. Additionally, native audio is only supported on Veo 3 and 3.1 models, limiting audio features on Veo 2.
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