Yamashita Mitsuki - Wan2.2 T2V LoRA (Low-Noise)
Low-Noise Character LoRA for Wan 2.2 Text-to-Video model.
Available Checkpoints
This repository contains 10 checkpoints (Epoch 3, 6, 9, 12, 15, 18, 21, 24, 27, 30).
Recommended: Use yamashita_mitsuki_LOW.safetensors (Final version, Epoch 30)
Model Details
- Type: Low-Noise LoRA (Timestep 0-875)
- Base Model: Wan 2.2 T2V 14B (Low-Noise)
- Training Dataset: 30 images
- Training Epochs: 30 (7,200 steps)
- Network Dim/Alpha: 32/32
- Learning Rate: 1e-4
- Resolution: 768x768
Usage
Important: This LoRA must be used together with High-Noise LoRA
Required Files:
- High-Noise LoRA: https://huggingface.co/Shuntea/yamashita_mitsuki_wan22_HIGH
- Low-Noise LoRA (this file)
- Base Models: wan2.2_t2v_high_noise_14B_fp16.safetensors and wan2.2_t2v_low_noise_14B_fp16.safetensors
Settings:
- LoRA Weight: 0.8-1.0
- Use both HIGH and LOW together
- Compatible with ComfyUI
Training Details
- Optimizer: AdamW8bit
- LR Scheduler: cosine_with_min_lr
- FP8: Enabled
- Discrete Flow Shift: 5.0
- Training Time: ~5 hours on A100 80GB
Pair with High-Noise LoRA
For complete video generation, download and use both:
Citation
Trained with musubi-tuner by kohya-ss.
