Match hypernet name with filename in all cases.

modules/hypernetworks/hypernetwork.py

@@ -340,7 +340,10 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log
         pbar.set_description(f"loss: {mean_loss:.7f}")
 
         if hypernetwork.step > 0 and hypernetwork_dir is not None and hypernetwork.step % save_hypernetwork_every == 0:
-            last_saved_file = os.path.join(hypernetwork_dir, f'{hypernetwork_name}-{hypernetwork.step}.pt')
+            temp = hypernetwork.name
+            # Before saving, change name to match current checkpoint.
+            hypernetwork.name = f'{hypernetwork_name}-{hypernetwork.step}'
+            last_saved_file = os.path.join(hypernetwork_dir, f'{hypernetwork.name}.pt')
             hypernetwork.save(last_saved_file)
 
         textual_inversion.write_loss(log_directory, "hypernetwork_loss.csv", hypernetwork.step, len(ds), {
@@ -405,6 +408,9 @@ Last saved image: {html.escape(last_saved_image)}<br/>
 
     hypernetwork.sd_checkpoint = checkpoint.hash
     hypernetwork.sd_checkpoint_name = checkpoint.model_name
+    # Before saving for the last time, change name back to the base name (as opposed to the save_hypernetwork_every step-suffixed naming convention).
+    hypernetwork.name = hypernetwork_name
+    filename = os.path.join(shared.cmd_opts.hypernetwork_dir, f'{hypernetwork.name}.pt')
     hypernetwork.save(filename)
 
     return hypernetwork, filename