This new AI edits any video! FREE & offline
Ditto brings advanced local video editing capabilities to ComfyUI, allowing filmmakers to manipulate existing footage and alter characters using text prompts.
What this lesson covers
This tutorial demonstrates how to install and use Ditto, a new free and open-source video editing tool based on Wan, directly inside ComfyUI. It showcases text-prompt-based video modifications, character replacement, and style transfers.
Key takeaways from the creator
AI-extracted notes, not independently verified product claims. Timestamp links let you check each point in the original video.
- 00:00 ↗
Ditto is an open-source video editing model by Ant Group that allows users to edit existing videos using text prompts.
- 03:42 ↗
Installation inside ComfyUI requires downloading specific diffusion models, VAE files, text encoders, and the Ditto model weights.
- 04:43 ↗
The official workflow requires a minimum of 11 GB of VRAM to run successfully.
Workflow outlined in the video
- Download the ComfyUI manager and ensure your environment meets the minimum VRAM requirements.
- Acquire the necessary model weights, VAEs, and text encoders for Ditto from HuggingFace.
- Drag and drop the official workflow JSON into ComfyUI and load your source video for editing.
Before you use this workflow
These notes describe the source video at its publication date. Model access, pricing, connectors and interfaces may have changed. Check the original source and the provider’s current documentation before installing an add-on, connecting an account or spending credits.
ReelStack has not independently tested this workflow. Preview one representative shot and check motion, continuity and output quality before applying it to a full production. No result, cost saving or model capability is guaranteed.
Explore the tools
How to interpret the numbers
100,034 views captured 23 October 2026. ReelStack recommendation score: 41/100. Formula: radar-v5. This is ReelStack’s calculation, not a YouTube rating or a measure of factual accuracy.
Show the calculation
- 45% performance: 0.98× views vs 16 other channel videos observed at a similar age. View-evidence factor 99% (views / (views + 1,000))
- 25% freshness: 0/100 with a 14-day half-life
- 20% momentum: 6 views/day vs 6 channel baseline (6 comparable uploads), with the same view-evidence factor
- 10% engagement: 91/100; likes + 4× comments, smoothed with a 500-view neutral prior