rework the code for lowram a bit

1 files changed, 2 insertions, 10 deletions

diff --git a/modules/sd_models.py b/modules/sd_models.py
index 78a198b9..3a01c93d 100644
--- a/modules/sd_models.py
+++ b/modules/sd_models.py
@@ -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"}