---
title: JoyAI Video Edit (Live)
emoji: 🎬
colorFrom: purple
colorTo: indigo
sdk: gradio
python_version: "3.10.13"
app_file: app.py
pinned: false
short_description: Real-time webcam video editing (ZeroGPU)
startup_duration_timeout: 1h
fullWidth: true
---

# JoyAI Video Edit — Live (ZeroGPU)

Real-time streaming video editing from your webcam. Built on the JoyAI Video Edit
DiT + streaming VAE pipeline, served on ZeroGPU.

## How it works

- The heavy models (DiT 16.3B, streaming VAE, MiMo-VL text encoder) are loaded at
  module scope under ZeroGPU's CUDA-emulation layer.
- Each session leases a real GPU in a `@spaces.GPU` fork; the main process is a
  thin WebSocket byte-pipe (H.264 both ways, MJPEG fallback).
- The custom CUDA kernels (`joyomni_ops`: FP8 GEMM + fused norm/rope) ship as a
  prebuilt cp310 / torch-2.9.1 wheel in `wheels/` — matching ZeroGPU's supported
  stack. Attention runs on plain cuDNN SDPA (fastest on this GPU class).

## Notes

- Checkpoints are downloaded once and persisted under `/data`, so Space restarts
  skip the big downloads. The slow one-time cost is the Space startup (model load),
  not the first user session.
- `torch.compile` is inert in ZeroGPU forks; each fork instead pays a short warmup
  (CUDA-graph capture, KV fill), so the first 2-3 chunks are slower.
- A session runs up to ~60s of GPU time. Free ZeroGPU quota is limited — this is a
  small-scale demo.