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loading SD VAE, see PR #3303

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AUTOMATIC 2022-10-21 17:35:51 +03:00
parent 3d898044e5
commit ac0aa2b18e
1 changed files with 4 additions and 1 deletions
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5
modules/sd_models.py
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@ -155,6 +155,9 @@ def get_state_dict_from_checkpoint(pl_sd):
return pl_sd
vae_ignore_keys = {"model_ema.decay", "model_ema.num_updates"}
def load_model_weights(model, checkpoint_info):
checkpoint_file = checkpoint_info.filename
sd_model_hash = checkpoint_info.hash
@ -186,7 +189,7 @@ def load_model_weights(model, checkpoint_info):
if os.path.exists(vae_file):
print(f"Loading VAE weights from: {vae_file}")
vae_ckpt = torch.load(vae_file, map_location=shared.weight_load_location)
vae_dict = {k: v for k, v in vae_ckpt["state_dict"].items() if k[0:4] != "loss"}
vae_dict = {k: v for k, v in vae_ckpt["state_dict"].items() if k[0:4] != "loss" and k not in vae_ignore_keys}
model.first_stage_model.load_state_dict(vae_dict)
model.first_stage_model.to(devices.dtype_vae)