mirror of
https://gitea.hainer-ernst.de/rasmus/burn-stablediffusion-vibecode.git
synced 2026-06-10 17:59:22 +00:00
14 lines
730 B
Python
14 lines
730 B
Python
import pathlib
|
|
from autoencoder import save_autoencoder
|
|
from unet import save_unet_model
|
|
from clip import save_clip_text_transformer
|
|
|
|
from save import save_scalar, save_tensor
|
|
|
|
def save_stable_diffusion(stable_diffusion, path):
|
|
pathlib.Path(path).mkdir(parents=True, exist_ok=True)
|
|
save_scalar(stable_diffusion.alphas_cumprod.shape[0], "n_steps", path)
|
|
save_tensor(stable_diffusion.alphas_cumprod, 'alphas_cumprod', path)
|
|
save_autoencoder(stable_diffusion.first_stage_model, pathlib.Path(path, 'autoencoder'))
|
|
save_unet_model(stable_diffusion.model.diffusion_model, pathlib.Path(path, 'unet'))
|
|
save_clip_text_transformer(stable_diffusion.cond_stage_model.transformer.text_model, pathlib.Path(path, 'clip')) |