Yzmblog / DMAD
DMAD: Distribution Matching as Adversarial Distillation for Fast Visual Generation
Why this job: says: distillation; topics: distillation
What it does
This repository contains the 4-step DMAD students of MiniMax-H3 (33B, text-to-audio-video) and the code to run them: a LoRA of rank 128 on the H3 transformer turns the 50-step teacher into a 4-step generator of 1344x768 video with native stereo audio.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 11 days ago
- Stars
- 251
- +6 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 99% of the code
Is it looked after?
- Contributors
- 2
- Last 90 days
- Issues
- 100% closed
- 0 still open
- Pull requests
- 1 merged
- 0 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 99%
- Shell 1%
Topics
- diffusion
- diffusion-model
- diffusion-models
- distillation
- generative-adversarial-network
- generative-ai
- generative-model
- video
- video-generation
Project record
- JobFine-tuning
- StatusListed
- Commits27
- Forks19
- Watching3
- Stars in 28 days+93
- CreatedSep 29, 2026
- First seen by usNov 7, 2026
- CheckedNov 9, 2026