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return live preview defaults to how they were

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only download TAESD model when it's needed
return calculations in single_sample_to_image to just if/elif/elif blocks
keep taesd model in its own directory
This commit is contained in:
AUTOMATIC
2023-05-17 09:24:01 +03:00
parent b217ebc490
commit 56a2672831
4 changed files with 31 additions and 29 deletions
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18
modules/sd_vae_taesd.py
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@@ -61,16 +61,28 @@ class TAESD(nn.Module):
return x.sub(TAESD.latent_shift).mul(2 * TAESD.latent_magnitude)
def decode():
def download_model(model_path):
model_url = 'https://github.com/madebyollin/taesd/raw/main/taesd_decoder.pth'
if not os.path.exists(model_path):
os.makedirs(os.path.dirname(model_path), exist_ok=True)
print(f'Downloading TAESD decoder to: {model_path}')
torch.hub.download_url_to_file(model_url, model_path)
def model():
global sd_vae_taesd
if sd_vae_taesd is None:
model_path = os.path.join(paths_internal.models_path, "VAE-approx", "taesd_decoder.pth")
model_path = os.path.join(paths_internal.models_path, "VAE-taesd", "taesd_decoder.pth")
download_model(model_path)
if os.path.exists(model_path):
sd_vae_taesd = TAESD(model_path)
sd_vae_taesd.eval()
sd_vae_taesd.to(devices.device, devices.dtype)
else:
raise FileNotFoundError('Tiny AE model not found')
raise FileNotFoundError('TAESD model not found')
return sd_vae_taesd.decoder