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VDN-H3 optimized for 24GB VRAM cards released on GitHub

A user has developed a ComfyUI implementation of VDN-H3, specifically optimized for graphics cards with 24GB of VRAM, such as the RTX 3090 Ti. This implementation utilizes INT8 ConvRot VDN weights and has been tested for video generation at resolutions up to 0.8MP, with longer videos also being possible though slower. The developer shared the GitHub repository and the VDN weights on Hugging Face, aiming to assist others with similar hardware who wish to use VDN-H3. AI

IMPACT Provides a more accessible way for users with 24GB VRAM cards to run VDN-H3, potentially increasing its adoption.

RANK_REASON User-developed implementation of existing model for specific hardware.

Read on r/StableDiffusion →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

VDN-H3 optimized for 24GB VRAM cards released on GitHub

How we ranked this

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
User-developed implementation of existing model for specific hardware.
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
product, infra
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AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
30 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

Full methodology in our editorial standards.

COVERAGE [1]

  1. r/StableDiffusion TIER_2 (ET) · /u/NoMouse9610 ·

    VDN-H3 on RTX 3090 Ti 24GB

    <table> <tr><td> <a href="https://www.reddit.com/r/StableDiffusion/comments/1wacc2y/vdnh3_on_rtx_3090_ti_24gb/"> <img alt="VDN-H3 on RTX 3090 Ti 24GB" src="https://external-preview.redd.it/bXhsYmFkZmJuN29oMUig35U003LTVPvaP_MyAZI6ntPhNlRfniaPANek1MHj.jpeg?width=640&amp;crop=smart&…