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python/stablediffusion.py

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+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):
+    save_scalar(stable_diffusion.alphas_cumprod.shape[0], "n_steps", path)
+    save_tensor(stable_diffusion.alphas_cumprod, 'alphas_cumprod', path)
+    save_autoencoder(stable_diffusion.autoencoder, 'autoencoder', path)
+    save_unet_model(stable_diffusion.diffusion, 'unet', path)
+    save_clip_text_transformer(stable_diffusion.clip, 'clip', path)