casted -> cast

Author: a-r-r-o-w

src/diffusers/hooks/layerwise_casting.py

@@ -92,7 +92,7 @@ class PeftInputAutocastDisableHook(ModelHook):
             1. Making forward implementations independent of device/dtype casting operations as much as possible.
             2. Peforming inference without losing information from casting to different precisions. With the current
                PEFT implementation (as linked in the reference above), and assuming running layerwise casting inference
-               with storage_dtype=torch.float8_e4m3fn and compute_dtype=torch.bfloat16, inputs are casted to
+               with storage_dtype=torch.float8_e4m3fn and compute_dtype=torch.bfloat16, inputs are cast to
                torch.float8_e4m3fn in the lora layer. We will then upcast back to torch.bfloat16 when we continue the
                forward pass in PEFT linear forward or Diffusers layer forward, with a `send_to_dtype` operation from
                LayerwiseCastingHook. This will be a lossy operation and result in poorer generation quality.