Merge branch 'main' into ltxv-lora

Author: linoytsaban

docs/source/en/using-diffusers/inpaint.md

@@ -363,6 +363,7 @@ device = "cuda"
 pipeline = AutoPipelineForInpainting.from_pretrained(
     "runwayml/stable-diffusion-inpainting",
     torch_dtype=torch.float16,
+    variant="fp16"
 )
 pipeline = pipeline.to(device)
 

src/diffusers/loaders/lora_base.py

@@ -299,8 +299,8 @@ def _best_guess_weight_name(
         targeted_files = list(filter(lambda x: x.endswith(LORA_WEIGHT_NAME_SAFE), targeted_files))
 
     if len(targeted_files) > 1:
-        raise ValueError(
-            f"Provided path contains more than one weights file in the {file_extension} format. Either specify `weight_name` in `load_lora_weights` or make sure there's only one  `.safetensors` or `.bin` file in  {pretrained_model_name_or_path_or_dict}."
+        logger.warning(
+            f"Provided path contains more than one weights file in the {file_extension} format. `{targeted_files[0]}` is going to be loaded, for precise control, specify a `weight_name` in `load_lora_weights`."
         )
     weight_name = targeted_files[0]
     return weight_name

src/diffusers/utils/testing_utils.py

@@ -1212,8 +1212,8 @@ def _device_agnostic_dispatch(device: str, dispatch_table: Dict[str, Callable],
 
     # Some device agnostic functions return values. Need to guard against 'None' instead at
     # user level
-    if fn is None:
-        return None
+    if not callable(fn):
+        return fn
 
     return fn(*args, **kwargs)