AcademiaSD_LoRAlab-TrainerStudio
Train LoRAs for Qwen-Image 2.1, FLUX.2 Klein 9B, Krea 2, Z-Image, Ideogram 4, Anima, SDXL (Pony, Illustrious, NoobAI), LTX 2.3 and MiniMax-H3 on NVIDIA GPUs from 4–8 GB VRAM. One install, one launcher, NF4 models. Windows, Linux and RunPod.
- comfyui
- diffusion-models
- krea
- lora
- lora-training
- ltx-video
- minimax
- nf4
- qwen-image
- stable-diffusion
- anima
- flux
- ideogram
- illustrious-xl
- low-vram
- Stars
- 33
- Forks
- 4
- + today
- +1
- Created
- 7d
Ranking data as of October 5, 2026 (UTC).
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Overview
Train LoRAs for Qwen-Image 2.1, FLUX.2 Klein 9B, Krea 2, Z-Image, Ideogram 4, Anima, SDXL (Pony, Illustrious, NoobAI), LTX 2.3 and MiniMax-H3 on NVIDIA GPUs from 4–8 GB VRAM. One install, one launcher, NF4 models. Windows, Linux and RunPod. It ranks #716 on GitTiger, gaining +1 star on October 5, 2026 (UTC).
The project is written in Python and has 4 forks. It was created 7d ago.
Installation
git clone https://github.com/AcademiaSD/AcademiaSD_LoRAlab-TrainerStudio.git
cd AcademiaSD_LoRAlab-TrainerStudio
# see README for setup