diff --git a/src/diffusers/models/transformers/transformer_bria_fibo.py b/src/diffusers/models/transformers/transformer_bria_fibo.py
index 343a7136a3..a4d33a2332 100644
--- a/src/diffusers/models/transformers/transformer_bria_fibo.py
+++ b/src/diffusers/models/transformers/transformer_bria_fibo.py
@@ -66,7 +66,7 @@ def _get_qkv_projections(attn: "BriaFiboAttention", hidden_states, encoder_hidde
     return _get_projections(attn, hidden_states, encoder_hidden_states)
 
 
-# Copied from diffusers.models.transformers.transformer_flux.FluxAttnProcessor FluxAttnProcessor->BriaFiboAttnProcessor, FluxAttention-> BriaFiboAttention
+# Inspired by from diffusers.models.transformers.transformer_flux.FluxAttnProcessor FluxAttnProcessor->BriaFiboAttnProcessor, FluxAttention-> BriaFiboAttention
 class BriaFiboAttnProcessor:
     _attention_backend = None
     _parallel_config = None
@@ -134,7 +134,7 @@ class BriaFiboAttnProcessor:
             return hidden_states
 
 
-# Copied from diffusers.models.transformers.transformer_flux.FluxAttention -> BriaFiboAttention
+# Inspired by from diffusers.models.transformers.transformer_flux.FluxAttention -> BriaFiboAttention
 class BriaFiboAttention(torch.nn.Module, AttentionModuleMixin):
     _default_processor_cls = BriaFiboAttnProcessor
     _available_processors = [
diff --git a/src/diffusers/pipelines/bria_fibo/pipeline_bria_fibo.py b/src/diffusers/pipelines/bria_fibo/pipeline_bria_fibo.py
index 97e98c5f8d..ee7f9e20c0 100644
--- a/src/diffusers/pipelines/bria_fibo/pipeline_bria_fibo.py
+++ b/src/diffusers/pipelines/bria_fibo/pipeline_bria_fibo.py
@@ -353,7 +353,7 @@ class BriaFiboPipeline(DiffusionPipeline):
         return self._interrupt
 
     @staticmethod
-    # Copied from diffusers.pipelines.flux.pipeline_flux.FluxPipeline._unpack_latents
+    # Inspired by from diffusers.pipelines.flux.pipeline_flux.FluxPipeline._unpack_latents FluxPipeline-> BriaFiboPipeline _unpack_latents
     def _unpack_latents(latents, height, width, vae_scale_factor):
         batch_size, num_patches, channels = latents.shape
 
@@ -400,7 +400,7 @@ class BriaFiboPipeline(DiffusionPipeline):
         return latents
 
     @staticmethod
-    # Copied from diffusers.pipelines.qwenimage.pipeline_qwenimage.QwenImagePipeline
+    # Inspired by from diffusers.pipelines.qwenimage.pipeline_qwenimage.QwenImagePipeline 
     def _pack_latents(latents, batch_size, num_channels_latents, height, width):
         latents = latents.view(batch_size, num_channels_latents, height // 2, 2, width // 2, 2)
         latents = latents.permute(0, 2, 4, 1, 3, 5)