Loading modules/sd_models.py +8 −0 Original line number Diff line number Diff line Loading @@ -134,6 +134,14 @@ def load_model_weights(model, checkpoint_file, sd_model_hash): devices.dtype = torch.float32 if shared.cmd_opts.no_half else torch.float16 vae_file = os.path.splitext(checkpoint_file)[0] + ".vae.pt" if os.path.exists(vae_file): print(f"Loading VAE weights from: {vae_file}") vae_ckpt = torch.load(vae_file, map_location="cpu") vae_dict = {k: v for k, v in vae_ckpt["state_dict"].items() if k[0:4] != "loss"} model.first_stage_model.load_state_dict(vae_dict) model.sd_model_hash = sd_model_hash model.sd_model_checkpint = checkpoint_file Loading Loading
modules/sd_models.py +8 −0 Original line number Diff line number Diff line Loading @@ -134,6 +134,14 @@ def load_model_weights(model, checkpoint_file, sd_model_hash): devices.dtype = torch.float32 if shared.cmd_opts.no_half else torch.float16 vae_file = os.path.splitext(checkpoint_file)[0] + ".vae.pt" if os.path.exists(vae_file): print(f"Loading VAE weights from: {vae_file}") vae_ckpt = torch.load(vae_file, map_location="cpu") vae_dict = {k: v for k, v in vae_ckpt["state_dict"].items() if k[0:4] != "loss"} model.first_stage_model.load_state_dict(vae_dict) model.sd_model_hash = sd_model_hash model.sd_model_checkpint = checkpoint_file Loading
