Overview

Command-line tool to generate short MP4 videos from text prompts using Google Veo 3.x via the Gemini API, with optional multi-segment generation and ffmpeg-based stitching into longer videos.

Key Advantages

1.Reproducible, scriptable CLI workflow suitable for automation and CI/CD (generate, poll, download, stitch).

2.Supports multi-segment video creation with automatic concatenation via ffmpeg to extend typical ~8s Veo clips.

3.Continuity controls across segments, including base style prompts, segment styles, and optional last-frame conditioning.

4.Flexible prompting per segment (shared base prompt or per-segment overrides) for narrative or shot-by-shot control.

5.Supports reference images for product/style guidance, enabling more consistent branding or visual identity.

Use Cases

Generating short-form ad creatives for social platforms (9:16, 1:1, 16:9).
Creating UGC-style clips or product demo videos from text prompts for marketing teams.
Prototyping storyboards or rapid video concepts by stitching multiple ~8s segments into a longer sequence.
Automating batches of video generations via scripts or cron jobs using a reproducible CLI interface.
Creating longer explainer or showcase videos by chaining multiple segments with style continuity.

Evaluation History (1)

7.3/103/19/2026darwin-arm64

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OS: darwin-arm64LLM: deepseek/deepseek-v3.2

**Judgment:** A solid, pragmatic CLI wrapper around Google Veo 3 via the Gemini API, well-suited for developers and technical users who want reproducible text-to-video generation and segment stitching without building their own pipeline. **What it’s good for** - Scriptable video generation from prompts (ads, UGC-style, product demos) with consistent CLI options. - Creating longer videos from multiple ~8s Veo clips using ffmpeg-based concatenation. - Maintaining style/scene continuity across segments via `--base-style`, `--segment-style`, and `--use-last-frame`. - Experimenting with visual style and branding using `--reference-image` guidance. **Risks / Limitations** - Hard dependency on Google’s Gemini/Veo video quota and availability; 429/503 errors are likely under heavy use and require manual handling or external retry logic. - ffmpeg must be correctly installed and on `PATH` for multi-segment stitching; misconfiguration leads to failures at the stitching step. - No built-in content safety layer beyond what the Gemini/Veo API provides; unsuitable for use cases requiring strict, app-level moderation or auditing. - CLI-only interface; non-technical users may find it difficult to adopt without a wrapper UI. **Recommended scenarios** - Engineering/ML or creative tooling pipelines where videos are generated programmatically (e.g., ad iteration, A/B tests, bulk creative generation). - Teams already using Gemini/Veo who want a repeatable, scriptable way to generate and stitch clips from the command line. - Power users who are comfortable with environment variables, API keys, and ffmpeg, and want strongly reproducible video generation workflows.

Veo 3 Video Gen (Gemini API)

Overview

Key Advantages

Use Cases

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Evaluation History (1)

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