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main/matryoshka.py

@@ -1475,11 +1475,8 @@ class MatryoshkaFusedAttnProcessor2_0:
     fused projection layers. For self-attention modules, all projection matrices (i.e., query, key, value) are fused.
     For cross-attention modules, key and value projection matrices are fused.
 
-    <Tip warning={true}>
-
-    This API is currently 🧪 experimental in nature and can change in future.
-
-    </Tip>
+    > [!WARNING]
+    > This API is currently 🧪 experimental in nature and can change in future.
     """
 
     def __init__(self):
@@ -2696,11 +2693,8 @@ class MatryoshkaUNet2DConditionModel(
         Enables fused QKV projections. For self-attention modules, all projection matrices (i.e., query, key, value)
         are fused. For cross-attention modules, key and value projection matrices are fused.
 
-        <Tip warning={true}>
-
-        This API is 🧪 experimental.
-
-        </Tip>
+        > [!WARNING]
+        > This API is 🧪 experimental.
         """
         self.original_attn_processors = None
 
@@ -2719,11 +2713,8 @@ class MatryoshkaUNet2DConditionModel(
     def unfuse_qkv_projections(self):
         """Disables the fused QKV projection if enabled.
 
-        <Tip warning={true}>
-
-        This API is 🧪 experimental.
-
-        </Tip>
+        > [!WARNING]
+        > This API is 🧪 experimental.
 
         """
         if self.original_attn_processors is not None:

main/pipeline_stable_diffusion_boxdiff.py

@@ -948,11 +948,8 @@ class StableDiffusionBoxDiffPipeline(
         Enables fused QKV projections. For self-attention modules, all projection matrices (i.e., query,
         key, value) are fused. For cross-attention modules, key and value projection matrices are fused.
 
-        <Tip warning={true}>
-
-        This API is 🧪 experimental.
-
-        </Tip>
+        > [!WARNING]
+        > This API is 🧪 experimental.
 
         Args:
             unet (`bool`, defaults to `True`): To apply fusion on the UNet.
@@ -978,11 +975,8 @@ class StableDiffusionBoxDiffPipeline(
     def unfuse_qkv_projections(self, unet: bool = True, vae: bool = True):
         """Disable QKV projection fusion if enabled.
 
-        <Tip warning={true}>
-
-        This API is 🧪 experimental.
-
-        </Tip>
+        > [!WARNING]
+        > This API is 🧪 experimental.
 
         Args:
             unet (`bool`, defaults to `True`): To apply fusion on the UNet.

main/pipeline_stable_diffusion_pag.py

@@ -940,9 +940,8 @@ class StableDiffusionPAGPipeline(
         """
         Enables fused QKV projections. For self-attention modules, all projection matrices (i.e., query,
         key, value) are fused. For cross-attention modules, key and value projection matrices are fused.
-        <Tip warning={true}>
-        This API is 🧪 experimental.
-        </Tip>
+        > [!WARNING]
+        > This API is 🧪 experimental.
         Args:
             unet (`bool`, defaults to `True`): To apply fusion on the UNet.
             vae (`bool`, defaults to `True`): To apply fusion on the VAE.
@@ -966,9 +965,8 @@ class StableDiffusionPAGPipeline(
     # Copied from diffusers.pipelines.stable_diffusion_xl.pipeline_stable_diffusion_xl.StableDiffusionXLPipeline.unfuse_qkv_projections
     def unfuse_qkv_projections(self, unet: bool = True, vae: bool = True):
         """Disable QKV projection fusion if enabled.
-        <Tip warning={true}>
-        This API is 🧪 experimental.
-        </Tip>
+        > [!WARNING]
+        > This API is 🧪 experimental.
         Args:
             unet (`bool`, defaults to `True`): To apply fusion on the UNet.
             vae (`bool`, defaults to `True`): To apply fusion on the VAE.