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VA-TDM

VA-TDM: A Unified View for Improving Few-Step Diffusion Models by Velocity Adversarial Distillation

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GITHUB · launched Nov 4, 2026 · 52 upvotes (top 61%) · 0 views

Niche: computer vision software and models · 225 launches, 11 in the last 7 days ▼ -45% · Explore this niche →

Category and tags

  • Horizontal
  • Model & infra
  • Developer
  • AI-native
  • Hobby / open-source project

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Could you build this?

No This is a research paper on diffusion model distillation. Reproducing it requires novel ML research, large-scale GPU training, and access to the paper's datasets and models.

What it would actually take: Reproducing the method requires an ML research team, a PyTorch training pipeline for diffusion teacher and student models, and multi-GPU compute for distillation runs. Results depend on the adversarial training details, which are the novel part of the paper.

Competitors

Other products that read as similar to this one : 1525 launches clear the similarity bar, closest 8 shown.

Attention rank: #888 of 1526 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 369 days after the earliest competitor.

  • pdmd · github · 2026-09-27 · 18 upvotes · similarity 0.66
  • Looped-DiT · github · 2026-09-29 · 25 upvotes · similarity 0.62
  • dlm-mmd · github · 2026-10-06 · 12 upvotes · similarity 0.62
  • djev · github · 2026-09-21 · 84 upvotes · similarity 0.60
  • DASA · github · 2026-10-13 · 29 upvotes · similarity 0.59
  • djev-dev · github · 2026-09-19 · 142 upvotes · similarity 0.59
  • PVD · github · 2026-10-07 · 10 upvotes · similarity 0.58
  • A walkable 3D tour of a feedforward neural net · hn · 2026-08-13 · 5 upvotes · similarity 0.58

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