Reading the repo
Opening the box…
Reading the repo
Opening the box…
Assembly instructions
Deploy LTX-2.3 uncensored text-to-video (PinkCherry v1.8 GGUF + RealESRGAN upscale) on free Google Colab T4 or Kaggle P100 — gateway, tunnel, CLI, Drive auto-upload
GitHub didn't answer, so this is the saved copy from 1 days ago
Will it work on macOS?
| | Google Colab (T4) | Kaggle (P100-16GB) | |---|---|---| | Usable VRAM | ~15.4 GB | ~13-14 GB | | Working resolution | 576×320×49 (+audio OK) | 512×288×33 (audio OOMs) | | Upscaled output | 1152×640 | 2048×1152 | | Render time (~8 steps) | ~7 min | ~11 min | | RAM | 12 GB cgroup | 20 GB+ | | Session / quota | ~2 h, ~4 GPU sessions/day | ~9 h, 30 h/week |
Which to use: Colab for highest quality + audio; Kaggle for long-running / scheduled work. Same gateway code, same CLI, same Drive pipeline.
Compare yours with the README's “Platform comparison (measured)” list above before installing anything.
Needs Git: xcode-select --install
git clone https://github.com/lesterppo/ltx23-deploy.git cd ltx23-deploy
No reports for macOS yet.
GitManual AI Agent reads the 1 key files and writes a step-by-step guide for macOS. Once written, it's saved for everyone.