diff --git a/modules/sd_models.py b/modules/sd_models.py
index f9bd9fe72..ce6e37f6a 100644
--- a/modules/sd_models.py
+++ b/modules/sd_models.py
@@ -331,6 +331,26 @@ def load_diffuser_initial(diffusers_load_config: dict, op='model'):
     return sd_model, checkpoint_info
 
 
+def hf_prefetch_configs(checkpoint_info: CheckpointInfo, diffusers_load_config: dict, op='model'):
+    # diffusers pipeline downloads build subfolder config allow-patterns with os.path.join, and huggingface_hub>=1.22
+    # matches patterns with fnmatchcase which does not normalize separators (huggingface/huggingface_hub#4435),
+    # so on windows component config.json files are never downloaded and the incomplete snapshot
+    # still passes the diffusers cache-completeness check so it is never repaired on load
+    # prefetching configs with forward-slash patterns both avoids and repairs such snapshots
+    if os.name != 'nt' or shared.opts.offline_mode:
+        return
+    repo_id = path_to_repo(checkpoint_info)
+    if repo_id is None or '/' not in repo_id or os.path.exists(repo_id): # local folder or single-file model
+        return
+    try:
+        t0 = time.time()
+        hf.snapshot_download(repo_id, cache_dir=shared.opts.diffusers_dir, revision=diffusers_load_config.get('revision', None), allow_patterns=['*/config.json'])
+        log.debug(f'Load {op}: repo="{repo_id}" prefetch=configs time={time.time()-t0:.2f}')
+    except Exception as e:
+        if debug_load:
+            log.debug(f'Load {op}: repo="{repo_id}" prefetch=configs {e}')
+
+
 def load_diffuser_force(detected_model_type: str, checkpoint_info: CheckpointInfo, diffusers_load_config: dict, op='model'):
     from modules import sdnq # pylint: disable=unused-import
     sd_model = None
@@ -912,6 +932,7 @@ def load_diffuser(checkpoint_info: CheckpointInfo | None = None, op='model', rev
         if model_type is None:
             log.error(f'Load {op}: pipeline={shared.opts.diffusers_pipeline} not detected')
             return
+        hf_prefetch_configs(checkpoint_info, diffusers_load_config, op)
         vae_file = None
         if model_type.startswith('Stable Diffusion') and (op == 'model' or op == 'refiner'): # preload vae for sd models
             vae_file, vae_source = sd_vae.resolve_vae(checkpoint_info.filename)