Overview

Train and fine-tune AI models on CLORE.AI GPUs.

Available Guides

Guide	Use Case	Difficulty
Jupyter ML Training	Interactive training	Easy
DreamBooth	Custom SD subjects	Medium
Kohya Training	LoRA/LyCORIS training	Medium
Fine-tune LLM	LLM fine-tuning	Advanced
DeepSpeed	Distributed training	Advanced
HuggingFace	Transformers training	Medium

GPU Recommendations

Task	Minimum	Recommended
LoRA (SD)	RTX 3060	RTX 3090
DreamBooth	RTX 3090	RTX 4090
LLM fine-tune (7B)	RTX 3090	A100 40GB
LLM fine-tune (70B)	4x A100	8x A100

Training Types

Image Models

• LoRA - Lightweight adapter, fast training

• DreamBooth - Full fine-tuning for concepts

• Textual Inversion - Learn new tokens

Language Models

• LoRA/QLoRA - Memory-efficient fine-tuning

• Full fine-tune - Best quality, needs more VRAM

Tips

• Use Spot orders for long training runs

• Enable gradient checkpointing to save VRAM

• Monitor training with TensorBoard

• Save checkpoints frequently

Related Guides

• Language Models

• Image Generation