🐯虎嗅•Stalecollected in 13m
ByteDance GRN: Visual Gen Third Way

💡ByteDance GRN challenges diffusion/AR rule with human-like adaptive visual gen. Live demos!
⚡ 30-Second TL;DR
What Changed
GRN uses HBQ for near-lossless quantization unifying image/video
Why It Matters
GRN boosts efficiency by adapting steps to content complexity, potentially reducing compute for simple gens and improving quality for complex ones in production pipelines.
What To Do Next
Test GRN T2I demo on HuggingFace at https://huggingface.co/spaces/hanjian/GRN.
Who should care:Researchers & Academics
Key Points
- •GRN uses HBQ for near-lossless quantization unifying image/video
- •Global refinement with [F] fixed and [R] random tokens for adaptive iteration
- •Open demos: HF T2I space, Discord T2V generating smooth videos
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