DEDUPED Hot AI repos, turned into use cases Get the Monday 5

How to plan and validate a video prompt without spending GPU time with Video Agent

Use dry-run to plan and validate a prompt against H3 constraints before you render.

  • Content
  • Intermediate
  • 15 minutes
  • From the README
  • Any agent

Who it is forA creator iterating on prompts on a laptop before running them on a GPU box.

The problemBad prompts waste long GPU renders.

The outcomeA validated plan for the prompt with no GPU spent.

What you need first

  • Linux with an NVIDIA GPU (WSL2 on Windows)
  • About 54 GB of disk for H3 weights
  • 12 GiB or more VRAM for the supported INT8 tiers

Steps

  1. Clone the repo and install with pip install -e .
  2. Run open-video "sunset waves" --dry-run
  3. Adjust the prompt until it validates
  4. Run the final prompt on the GPU machine

Prompt for your agent

With agent-next/video-agent, dry-run <prompt> using `--dry-run` and report any validation errors. Confirm no GPU job was started.

Caveat. On macOS the clone supports setup and dry-run, but H3 generation there is not the default path.

Use this in your AI agent

Ask your agent

Using the Deduped MCP, get the setup steps for agent-next/video-agent and "Plan and validate a video prompt without spending GPU time"

Add Deduped to Claude Code once

claude mcp add --transport http deduped https://dedupedai.com/mcp

Cursor, ChatGPT, others

Share: X LinkedIn Hacker News Email Copy link

Third-party repos we don't own. AI-written use cases can be wrong. Disclaimer