mjansrud

mjansrud / ComfyUI-DaVinci-MagiHuman

Public

Work in progress

47
2
100% credibility
Found Mar 28, 2026 at 47 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

Custom nodes for ComfyUI enabling text-to-video-and-audio generation using the daVinci-MagiHuman model with optimizations for everyday computers.

How It Works

1
📰 Discover the video maker

You stumble upon this fun addition for ComfyUI that lets you create videos with matching sound just by describing what you want.

2
📥 Add it to ComfyUI

Simply place the files into your ComfyUI setup, and new video tools appear in your canvas ready to use.

3
💾 Grab the thinking parts

It automatically downloads the big brains needed for magic (give it time on the first go, it's worth it).

4
🔗 Chain the steps together

Drag and connect simple blocks on the canvas: describe your scene, generate a draft video, boost quality, and turn it into a movie.

5
✨ Describe and create

Type a fun idea like 'a friendly robot dancing at sunset' , hit generate, and watch your custom video with sound come alive step by step.

6
🎥 Polish and save

Automatically upscale to sharp HD, blend in the audio, and save your video file to share with friends.

✅ Share your masterpiece

You've made a stunning video from words alone – now show it off and feel like a movie director!

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Star Growth

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AI-Generated Review

What is ComfyUI-DaVinci-MagiHuman?

This Python-based ComfyUI extension brings daVinci-MagiHuman, a 15B-parameter transformer, into ComfyUI workflows for text-to-audio-video generation. It solves the VRAM barrier for consumer GPUs by enabling 1080p video with joint audio on 32GB cards like RTX 5090, via nodes for model loading, sampling, super-resolution, and TurboVAE decoding. Users get drag-and-drop pipelines for distill-mode clips in 8 steps, pulling models from Hugging Face.

Why is it gaining traction?

Block-level GPU swapping keeps peak VRAM under 6GB while prefetching speeds up inference, letting devs run full-res without A100s. Distill mode hits fast 8-step generations without CFG, plus optional image-to-video refs and FFmpeg video output—ideal for quick prototypes over cloud APIs. At 47 stars, it's a work in progress GitHub repo drawing ComfyUI fans tracking work progress on efficient AV gen.

Who should use this?

ComfyUI power users experimenting with text-to-video+audio, like AI artists prototyping talking-head clips or indie game devs needing procedural cutscenes. Suited for RTX 40/50-series owners with 64GB RAM, building custom workflows over raw Hugging Face scripts.

Verdict

Skip for production—1.0% credibility score, 47 stars, and explicit "work in progress" status mean bugs and placeholder text encoding until the author returns or you fork it. Promising for tinkerers if you're in a ComfyUI work environment chasing DaVinci perf on local hardware.

(198 words)

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