align doc titles

Author: stevhliu

docs/source/en/_toctree.yml

@@ -179,7 +179,7 @@
     - local: api/pipelines/alt_diffusion
       title: AltDiffusion
     - local: api/pipelines/attend_and_excite
-      title: Attend and Excite
+      title: Attend-and-Excite
     - local: api/pipelines/audio_diffusion
       title: Audio Diffusion
     - local: api/pipelines/audioldm
@@ -209,7 +209,7 @@
     - local: api/pipelines/latent_diffusion
       title: Latent Diffusion
     - local: api/pipelines/panorama
-      title: MultiDiffusion Panorama
+      title: MultiDiffusion
     - local: api/pipelines/paint_by_example
       title: PaintByExample
     - local: api/pipelines/paradigms
@@ -263,11 +263,11 @@
     - local: api/pipelines/stochastic_karras_ve
       title: Stochastic Karras VE
     - local: api/pipelines/model_editing
-      title: Text-to-Image Model Editing
+      title: Text-to-image model editing
     - local: api/pipelines/text_to_video
-      title: Text-to-Video
+      title: Text-to-video
     - local: api/pipelines/text_to_video_zero
-      title: Text-to-Video Zero
+      title: Text2Video-Zero
     - local: api/pipelines/unclip
       title: UnCLIP
     - local: api/pipelines/latent_diffusion_uncond

docs/source/en/api/pipelines/model_editing.mdx

@@ -10,7 +10,7 @@ an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express o
 specific language governing permissions and limitations under the License.
 -->
 
-# Text-to-Image Model Editing
+# Text-to-image model editing
 
 [Editing Implicit Assumptions in Text-to-Image Diffusion Models](https://huggingface.co/papers/2303.08084) is by Hadas Orgad, Bahjat Kawar, and Yonatan Belinkov. This pipeline enables editing diffusion model weights, such that its assumptions of a given concept are changed. The resulting change is expected to take effect in all prompt generations related to the edited concept.
 

docs/source/en/api/pipelines/text_to_video.mdx

@@ -16,7 +16,7 @@ specific language governing permissions and limitations under the License.
 
 </Tip>
 
-# Text-to-Video
+# Text-to-video
 
 [VideoFusion: Decomposed Diffusion Models for High-Quality Video Generation](https://huggingface.co/papers/2303.08320) is by Zhengxiong Luo, Dayou Chen, Yingya Zhang, Yan Huang, Liang Wang, Yujun Shen, Deli Zhao, Jingren Zhou, Tieniu Tan.
 

docs/source/en/api/pipelines/text_to_video_zero.mdx

@@ -10,7 +10,7 @@ an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express o
 specific language governing permissions and limitations under the License.
 -->
 
-# Text-to-Video Zero
+# Text2Video-Zero
 
 [Text2Video-Zero: Text-to-Image Diffusion Models are Zero-Shot Video Generators](https://huggingface.co/papers/2303.13439) is by
 Levon Khachatryan,