Yzmblog/DMAD

Generative mediaPython#diffusion#diffusion-model#diffusion-models#distillation#generative-adversarial-network

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DMAD: Distribution Matching as Adversarial Distillation for Fast Visual Generation

About the project

Repository with 4-step DMAD student LoRAs for MiniMax-H3: a distillation method that turns a 50-step text-to-audio-video model into a 4-step generator of 1344x768 video with stereo audio.

Useful for

Generate audio-video from a text prompt in 4 steps on a single 80 GB GPU
Run inference.py with the lora_critic or full_critic LoRA checkpoint and a fixed seed
Run the students inside the official Diffusers MiniMaxH3ModularPipeline

README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.

3.4 Early signal Magnitude out of 10 — how fast interest is growing, not a quality score.

Star growth looks organic. Data as of October 4, 2026, 01:07 UTC.

The star-growth assessment does not verify whether the project is safe to run.

Stars per day

Bars show daily stars; the line is a moving average of the available history. Short histories do not yet establish a reliable usual pace. Red marks spike days.

Why it’s trending

0 stars so far today, about 25 expected by the end of the day.
The spike has held for 3 days in a row — not a one-off blip.
The repository is 5 days old and already has 60 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
Top new repositories this week: #173.
Recent forks include notable developers: @johndpope (1,330 followers).

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Numbers

Total stars: 60
Today: 0 · ≈ 24 by evening
Forks: 3
Issues and pull requests: 2
Watchers: 1
Language: Python
License: Apache-2.0
Created: September 29, 2026
Last push: October 2, 2026

Star trust

Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.

These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.

Spotted in

October 4, 2026Top new repositories this week: #173

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