use snapshot path for downloaded model

Signed-off-by: Vladimir Mandic <mandic00@live.com>

CHANGELOG.md

@@ -27,6 +27,7 @@
   - *GHSA* fixes, thanks @SSJCorpSec for reporting
   - custom `vae` loader
   - `attention` execution guard against `cpu` tensors
+  - downloaded diffuser model use `snapshot` path
 
 ## Update for 2026-05-13
 

modules/sd_checkpoint.py

@@ -146,7 +146,7 @@ def list_models():
             checkpoint_info.register()
     diffusers_list = []
     for repo in modelloader.load_diffusers_models(clear=True):
-        checkpoint_info = CheckpointInfo(repo['name'], sha=repo['hash'], folder=repo['folder'])
+        checkpoint_info = CheckpointInfo(repo['name'], sha=repo['hash'], folder=repo['path'])
         diffusers_list.append(checkpoint_info)
         if checkpoint_info.name is not None:
             checkpoint_info.register()

modules/sd_models.py

@@ -628,13 +628,16 @@ def load_diffuser_folder(model_type, pipeline, checkpoint_info, diffusers_load_c
             sd_model = diffusers.StableDiffusionXLPipeline.from_pretrained(checkpoint_info.path, cache_dir=shared.opts.diffusers_dir, **diffusers_load_config)
             sd_model.model_type = sd_model.__class__.__name__
     except Exception as e:
-        err3 = e  # ignore last error
-        log.error(f"StableDiffusionPipeline: {e}")
+        err3 = e
         if debug_load:
             errors.display(e, "Load StableDiffusionPipeline")
 
-    if err3 is not None:
-        log.error(f'Load {op}: {checkpoint_info.path} detected={err0} auto={err1} diffusion={err2} base={err3}')
+    if sd_model is None:
+        log.error(f'Load {op}: path="{checkpoint_info.path}" pipeline={pipeline.__class__.__name__} type="{model_type}"')
+        log.error(f'Load {op}: attempt detected:  {err0}')
+        log.error(f'Load {op}: attempt auto:      {err1}')
+        log.error(f'Load {op}: attempt diffusion: {err2}')
+        log.error(f'Load {op}: attempt base:      {err3}')
         return None
 
     return sd_model