Nanosaur

9
license:mit
by
well9472
Other
OTHER
New
0 downloads
Early-stage
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Quick Summary

AI model with specialized capabilities.

Code Examples

Quick Startbash
uv run gradio_app.py
Lora Trainingbash
uv run train_lora/cache_lora_dataset.py --data_dir=/path/to/images_and_textfiles --cache_dir=cache_lora
uv run train_lora/train_lora.py --cache_dir=cache_lora
uv run gradio_app.py
Train VAEbash
uv run train_vae/train_vae_afhq.py --stage both
Train VAEbash
uv run train_vae/train_vae_afhq.py --stage psvae --resume checkpoints_vae/svae_final.pt
VAE Inferencebash
uv run vae/inference_vae.py image.png --width 256 --height 256
Diffusion Model Trainingbash
uv run train_diffusion_model/cache_diffusion_afhq.py
Step 2: Train Diffusion Modelbash
uv run train_diffusion_model/train_diffusion_afhq.py
Step 2: Train Diffusion Modelbash
tensorboard --logdir runs_diffusion

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