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README.md

Satori

High-quality text-to-video and image-to-video generation with a Diffusion Transformer (DiT) architecture.

Status: work in progress. Built on a permissive, commercially-licensed foundation (no non-commercial or restricted-weight dependencies). The Zen model is not yet trained/integrated here — this provides the licensing, attribution, and integration scaffold.

Foundation

Built on Open-Sora (HPC-AI Tech, Apache-2.0) — a permissive, commercial-friendly DiT video foundation.

License

Apache License — see LICENSE and NOTICE. Copyright 2025-2026 Zen Authors (https://zenlm.org).

Roadmap

  • Wire the Open-Sora backbone as the generation pipeline
  • Replace the VAE with a permissive (Apache/MIT) alternative
  • Train / fine-tune the Zen variant, then release
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Description
🎥 Satori: Efficient video generation in latent space using diffusion models with explicit temporal dynamics, enabling high-quality frame coherence and reduced computational overhead.
Readme Apache-2.0
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