# forge-film

> Multi-model DAG-driven parallel AI film generation — parallel speedup scales with scene independence; Generate film scenes simultaneously instead of one by one; "把影视生成的执行图从拓扑序变成关键路径最优调度";

## Facts
- **Category:** [Workflow & Productivity](https://agentsearchengine.app/category/workflow-agents)
- **Type:** Agent
- **Pricing:** Open source
- **GitHub stars:** 646
- **Language:** Python
- **License:** MIT
- **Last repo activity:** 4 months ago (Mar 26, 2026)
- **Source code:** https://github.com/F-R-L/forge-film
- **Listing on Agent Search Engine:** https://agentsearchengine.app/agents/forge-film
- **Data verified:** July 2026

## About forge-film
Making a multi-scene AI film means logging into Kling, CogVideoX, Seedance separately — downloading frames, color-correcting between models, stitching manually. An 8-scene short can eat half a day. Forge automates the entire pipeline. You write a story. Forge compiles it into a scene graph, routes each scene to the right model, runs them in parallel, keeps visual continuity across model boundaries, and outputs a single final.mp4. Story → DAG — GPT-4o (or Claude / DeepSeek) compiles your story into a dependency graph. Scenes with no dependencies run in parallel.

_From the project's README._

## Install

```
pip install -e .
```

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