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HyperFlow

Open-source 8-step LoRA for MiniMax H3

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Data-free flow self-distillation cuts sampling from 49 forwards to 8, improves camera control, consistency and detail, and keeps H3's joint video+audio output. Weights on Hugging Face; run it with the diffusers loader.

PH · launched Sep 19, 2026 · 2 upvotes (top 26%) · 0 views

Niche: llm optimization tools · 127 launches, 9 in the last 7 days ▲ +50% · Explore this niche →

Category and tags

  • Horizontal
  • Model & infra
  • Developer
  • AI-native
  • Hobby / open-source project
  • Open Source
  • Artificial Intelligence
  • GitHub
  • Video

Visit website ↗ Source listing ↗

Could you build this?

No This is fundamental deep learning research involving flow matching distillation techniques and training custom LoRA adapters on video diffusion models.

What it would actually take: A team would need deep expertise in diffusion models, flow matching mathematical frameworks, and PyTorch/CUDA programming. Training requires significant GPU compute clusters (e.g., H100s) to execute data-free self-distillation runs on large foundation video-audio models like MiniMax H3.

Competitors

Other products that read as similar to this one : 88 launches clear the similarity bar, closest 8 shown.

Attention rank: #21 of 89 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 256 days after the earliest competitor.

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