🌟 Awesome Veo3 (and Veo 3.1)

A community-curated hub of tools, demos, guides, prompts, research, and links around Veo 3 and Veo 3.1 — Google DeepMind’s cinematic AI video models.

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📚 Table of Contents

• Overview: Veo 3 & Veo 3.1
• Key Features & Differences
• Getting Started
• Official Resources
• Community & Tutorials
• Prompt Engineering
• Demos & Repos
• Integrations & Tools
• Safety, Ethics & Watermarking
• Roadmap & Limitations
• Contributing
• License

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🧠 Overview: Veo 3 & Veo 3.1

Veo 3 is DeepMind / Google’s advanced text→video model that generates short, high-quality video clips with native audio (dialogue, SFX, ambience). Veo 3.1 (Oct 2025) is an incremental release that adds richer audio, improved prompt adherence, reference-image guidance, frame interpolation, and scene-extension features.

This repo collects official docs, community tutorials, demos, prompts, and tooling that help you learn and ship with Veo 3 / Veo 3.1.

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🎬 Key Features & Differences

Feature	Veo 3	Veo 3.1
Native audio (dialogue, SFX)	✅	✅ (richer, more controllable)
Image-guided generation	✅	✅ (improved fidelity; multiple refs)
First→Last frame interpolation	—	✅
Extend / continue existing clips	limited	✅
Prompt adherence	solid	improved
Typical clip length	~8s (default)	~8s (extensions allow longer flows)
Access	Gemini API / Flow / Vertex	Gemini API (paid preview) / Flow / Vertex

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🚀 Getting Started

1. Get access

   • Veo is available via Google’s AI platforms (Gemini, Vertex AI) and Flow. Some Veo 3.1 features are released as paid preview—check the official docs and blog for availability.

2. Docs & Examples (official)

   • DeepMind Veo model page: https://deepmind.google/models/veo/
   • Google Developers: Veo 3.1 announcement: https://developers.googleblog.com/en/introducing-veo-3-1-and-new-creative-capabilities-in-the-gemini-api/
   • Vertex AI (Veo docs & examples): https://cloud.google.com/vertex-ai/generative-ai/docs/models/veo/3-1-generate-preview
   • Google Flow blog (Veo integration & editor): https://blog.google/technology/ai/veo-updates-flow/
   • Gemini (product): https://gemini.google/

3. Quick Python example (conceptual)

from google import genai
from google.genai import types

client = genai.Client()

op = client.models.generate_videos(
    model="veo-3.1-generate-preview",
    prompt="A quiet mountain lake at sunrise. Gentle piano, birdsong. Slow dolly in.",
    config=types.GenerateVideosConfig()
)
# Download or inspect operation results per SDK docs

See Vertex/Gemini docs for exact request/response fields and SDK usage.

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📖 Official Resources

• DeepMind — Veo model overview: https://deepmind.google/models/veo/
• Google Developers (Veo 3.1 announcement): https://developers.googleblog.com/en/introducing-veo-3-1-and-new-creative-capabilities-in-the-gemini-api/
• Vertex AI docs (Veo models): https://cloud.google.com/vertex-ai/generative-ai/docs/models/veo/3-1-generate-preview
• Google Flow (editor & integration): https://blog.google/technology/ai/veo-updates-flow/
• Gemini product: https://gemini.google/

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🌐 Community & Tutorials (Unofficial)

• Reddit — r/VEO3 (community experiments & prompts): https://www.reddit.com/r/VEO3/
• YouTube — Example Veo 3/3.1 demos and walkthroughs (search "Veo 3 tutorial" or try): https://www.youtube.com/results?search_query=Veo+3+tutorial
• Medium / Dev.to — Community writeups and walkthroughs (search "Veo 3" on Medium or Dev.to)
• Prompt pattern collections (community-curated): search community links and GitHub examples linked below.

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✍️ Prompt Engineering Tips

• Treat the prompt like a short film treatment: subject, action, camera move, lighting, mood, and sound cues.
• Include explicit audio direction (e.g. "gentle piano score, soft ambient wind, distant thunder") to leverage Veo’s native audio.
• Use reference images to preserve character or style consistency across clips.
• For continuity across multiple clips, keep consistent scene descriptors and reference images.
• Iterate — refine prompts if the first result drifts.

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📂 Demos & Repos

• (Add your demos here!) Recommended structure for examples:
  • examples/ — contained prompts and generated outputs (host videos on a static site or GitHub Pages)
  • notebooks/ — interactive demos using Vertex/Gemini SDKs
  • prompts/ — categorized prompt library (camera, lighting, audio)

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🔌 Integrations & Tools

• Google Flow — iterative video editor with Veo enhancements: https://blog.google/technology/ai/veo-updates-flow/
• Gemini app / API — product/SDK access: https://gemini.google/
• Canva — offers AI video creation features that use Veo (or similar) for short clips: https://www.canva.com/newsroom/news/veo3-canva-ai-video/
• Google Workspace / Vids — Workspace updates mention Veo video features in editor tools: https://workspaceupdates.googleblog.com/

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🔐 Safety, Ethics & Watermarking

• DeepMind / Google include watermarking / provenance (“SynthID”) measures for synthetic media—check DeepMind for details: https://deepmind.google/science/synthid/
• Follow Google’s acceptable use policies in Vertex/Gemini docs; do not generate disallowed content.

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🗺️ Roadmap & Known Limitations

• Expect improvements to audio realism, longer-sequence consistency, and interactive editing in future releases.
• Current practical limits: shorter default clip lengths, occasional visual/audio artifacts, and access gated by paid preview for some features.

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🤝 Contributing

1. Fork this repo.
2. Add resources under appropriate sections.
3. Include an example with prompt, config, and result (host video externally if needed).
4. Create a PR and describe your addition.

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📄 License

MIT License — see the LICENSE file for details.

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Want a LICENSE file (MIT) and a CONTRIBUTING.md? I can add those and a examples/ skeleton folder with a sample notebook.