academiasd_loralab-trainerstudio
A one-install, one-launcher Flask app that lets you train your own LoRA AI image/video models on a budget consumer GPU, across nearly every major open image/video model.
View academiasd/academiasd_loralab-trainerstudio on GitHub- GitHub stars
- 143
- Forks
- —
- Language
- Python
Project details
- Repository
- academiasd/academiasd_loralab-trainerstudio
- Licence
- MIT
- Primary language
- Python
- Catalog status
- Available
- Catalog check
- 2026-11-13
Repository description
Train LoRAs for Qwen-Image 2.1, FLUX.2 Klein 9B, FLUX.3 Image Klein, Krea 2, Z-Image, MOSS-Image, ERNIE-Image, Ideogram 4, Anima, SDXL (Pony, Illustrious, NoobAI), LTX 2.3, MiniMax-H3, and more on NVIDIA GPUs from 4–8 GB VRAM. One install, one launcher, NF4 models. Windows, Linux and RunPod.
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