- do not use ckpt cache, if disabled

- cache model after is has been loaded from file

1 files changed, 17 insertions, 10 deletions

diff --git a/modules/sd_models.py b/modules/sd_models.py
index 34c57bfa..720c2a96 100644
--- a/modules/sd_models.py
+++ b/modules/sd_models.py
@@ -163,13 +163,21 @@ def load_model_weights(model, checkpoint_info, vae_file="auto"):
     checkpoint_file = checkpoint_info.filename

     sd_model_hash = checkpoint_info.hash

 

-    if shared.opts.sd_checkpoint_cache > 0 and hasattr(model, "sd_checkpoint_info"):

+    cache_enabled = shared.opts.sd_checkpoint_cache > 0

+

+    if cache_enabled:

         sd_vae.restore_base_vae(model)

-        checkpoints_loaded[model.sd_checkpoint_info] = model.state_dict().copy()

 

     vae_file = sd_vae.resolve_vae(checkpoint_file, vae_file=vae_file)

 

-    if checkpoint_info not in checkpoints_loaded:

+    if cache_enabled and checkpoint_info in checkpoints_loaded:

+        # use checkpoint cache

+        vae_name = sd_vae.get_filename(vae_file) if vae_file else None

+        vae_message = f" with {vae_name} VAE" if vae_name else ""

+        print(f"Loading weights [{sd_model_hash}]{vae_message} from cache")

+        model.load_state_dict(checkpoints_loaded[checkpoint_info])

+    else:

+        # load from file

         print(f"Loading weights [{sd_model_hash}] from {checkpoint_file}")

 

         pl_sd = torch.load(checkpoint_file, map_location=shared.weight_load_location)

@@ -180,6 +188,10 @@ def load_model_weights(model, checkpoint_info, vae_file="auto"):
         del pl_sd

         model.load_state_dict(sd, strict=False)

         del sd

+        

+        if cache_enabled:

+            # cache newly loaded model

+            checkpoints_loaded[checkpoint_info] = model.state_dict().copy()

 

         if shared.cmd_opts.opt_channelslast:

             model.to(memory_format=torch.channels_last)

@@ -199,13 +211,8 @@ def load_model_weights(model, checkpoint_info, vae_file="auto"):
 

         model.first_stage_model.to(devices.dtype_vae)

 

-    else:

-        vae_name = sd_vae.get_filename(vae_file) if vae_file else None

-        vae_message = f" with {vae_name} VAE" if vae_name else ""

-        print(f"Loading weights [{sd_model_hash}]{vae_message} from cache")

-        model.load_state_dict(checkpoints_loaded[checkpoint_info])

-

-    if shared.opts.sd_checkpoint_cache > 0:

+    # clean up cache if limit is reached

+    if cache_enabled:

         while len(checkpoints_loaded) > shared.opts.sd_checkpoint_cache:

             checkpoints_loaded.popitem(last=False)  # LRU