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README.md
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---
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license: mit
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tags:
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- generated-from-code
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- veo4
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- ai-video-generator
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- text-to-video
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- image-to-video
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- multimodal-ai
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---
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# Veo 4 AI Video Generator
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This model card describes the **Veo 4 AI Video Generator** workflow available
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at [veo 4](https://veo4.im/). Veo 4 is an online creative workspace for
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turning prompts, references, and production briefs into usable AI-generated
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video assets for social media, ecommerce, product launches, training, sales, and
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advertising.
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This repository does not provide standalone model weights. It documents a hosted
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AI video generation experience and the surrounding workflow used by creators and
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teams.
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## Model Description
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Veo 4 is built around the practical problems teams face when generating video
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with AI: prompt fidelity, shot consistency, motion realism, creative iteration,
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and production handoff. The workflow helps users move from a rough idea to a
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publishable visual asset without starting from a blank editing timeline.
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The platform focuses on:
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- **Text-to-video generation** for concepts, scenes, explainers, ads, and
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short-form creative.
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- **Multimodal prompting** with written direction and optional visual references
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to anchor subject, style, composition, and motion.
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- **Cinematic scene control** for camera language, pacing, lighting, physical
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motion, and visual atmosphere.
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- **Iteration loops** for refining prompts, testing hooks, extending scenes, and
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turning first drafts into usable campaign assets.
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Veo 4 is especially useful for teams that need more than a one-off demo. It is
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designed for repeated creative workflows where speed, quality, and consistency
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all matter.
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## Intended Use
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The Veo 4 workflow is intended for:
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- Content creators producing videos for Shorts, Reels, TikTok, YouTube, and
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social feeds.
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- Ecommerce teams creating product stories, seasonal promotions, and visual
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product explainers.
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- Product marketers building launch teasers, feature videos, and campaign
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assets.
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- Educators and trainers creating how-to videos, onboarding material, and visual
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lessons.
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- Agencies and performance teams testing ad hooks, concepts, and creative
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variations quickly.
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- Sales and client-facing teams turning complex ideas into concise visual
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narratives.
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## Key Capabilities
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### Prompt-to-Video Creation
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Describe the scene, subject, action, tone, and camera style, then generate a
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first video pass that can be reviewed and refined.
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### Reference-Guided Direction
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Use visual references and structured briefs to keep style, subject identity, and
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composition closer to the intended creative direction.
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### Production-Oriented Iteration
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Generate multiple directions, compare hooks, adjust scene details, and move
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toward a final asset without rebuilding the workflow each time.
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### Cross-Channel Creative Fit
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Veo 4 supports video directions for social publishing, ecommerce pages, product
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launches, training content, presentations, and paid creative testing.
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## How to Use
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1. Open [Veo 4](https://veo4.im/).
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2. Choose the video generation workflow.
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3. Write a brief that includes audience, scene, subject, action, style, camera
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movement, pacing, and output goal.
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4. Add references when the visual direction needs stronger control.
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5. Generate a first pass, review the result, and refine the prompt for stronger
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motion, consistency, lighting, or storytelling.
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6. Export the final video for your campaign, product page, social post, or
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presentation.
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## Prompt Example
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```text
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A cinematic product launch video for a compact electric bike.
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Open with a sunrise city street, then show the bike gliding through traffic.
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Use smooth tracking shots, realistic reflections, warm color grading,
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confident pacing, and a clean premium technology mood.
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Target use: landing page hero and paid social ad preview.
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```
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## Conceptual Integration Example
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The hosted product is designed for web-based creative work. A team production
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pipeline can treat each generation as one creative pass:
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```python
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# Conceptual example only. Adapt to your own workflow.
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brief = {
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"goal": "product launch teaser",
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"audience": "urban commuters",
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"scene": "sunrise city street",
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"style": "premium cinematic technology",
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"output": "social ad and landing page hero",
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}
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draft = generate_video(brief)
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feedback = review_video(draft, checks=["motion", "story", "brand_fit"])
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final_asset = refine_video(draft, feedback)
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publish(final_asset)
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```
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## Limitations
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- Generated videos should be reviewed before publication, especially for brand
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safety, factual claims, legal compliance, likeness rights, and commercial
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usage requirements.
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- Prompt refinement may be needed when a scene requires exact continuity,
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specific object behavior, strict timing, or precise brand guidelines.
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- AI-generated motion can still produce artifacts, identity drift, or unexpected
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scene changes, especially in complex long-form shots.
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- This website is an independent AI generation service and is not affiliated
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with, endorsed by, or connected to Google, DeepMind, or any official Veo
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product team. References to "Veo" are descriptive and should be interpreted in
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that context.
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## Resources
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- Homepage: [Veo 4](https://veo4.im/)
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- AI video generator: [Veo 4 AI Video Generator](https://veo4.im/ai-video-generator)
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