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rework the code for lowram a bit

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AUTOMATIC
2022-10-14 20:03:41 +03:00
parent 4a216ded43
commit bb295f5478
2 changed files with 4 additions and 11 deletions
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12
modules/sd_models.py
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@@ -134,11 +134,7 @@ def load_model_weights(model, checkpoint_info):
print(f"Loading weights [{sd_model_hash}] from {checkpoint_file}")
if shared.cmd_opts.lowram:
print("Load to VRAM if GPU is available (low RAM)")
pl_sd = torch.load(checkpoint_file)
else:
pl_sd = torch.load(checkpoint_file, map_location="cpu")
pl_sd = torch.load(checkpoint_file, map_location=shared.weight_load_location)
if "global_step" in pl_sd:
print(f"Global Step: {pl_sd['global_step']}")
@@ -164,11 +160,7 @@ def load_model_weights(model, checkpoint_info):
if os.path.exists(vae_file):
print(f"Loading VAE weights from: {vae_file}")
if shared.cmd_opts.lowram:
print("Load to VRAM if GPU is available (low RAM)")
vae_ckpt = torch.load(vae_file)
else:
vae_ckpt = torch.load(vae_file, map_location="cpu")
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"}