diff --git a/docs/source/en/_toctree.yml b/docs/source/en/_toctree.yml
index 6c6e3a8e7882..e6c73c91ade4 100644
--- a/docs/source/en/_toctree.yml
+++ b/docs/source/en/_toctree.yml
@@ -5,73 +5,93 @@
     title: Installation
   - local: quicktour
     title: Quickstart
-  - local: stable_diffusion
-    title: Basic performance
   title: Get started
 - isExpanded: false
   sections:
-  - local: using-diffusers/loading
-    title: DiffusionPipeline
-  - local: tutorials/autopipeline
-    title: AutoPipeline
-  - local: using-diffusers/custom_pipeline_overview
-    title: Community pipelines and components
-  - local: using-diffusers/callback
-    title: Pipeline callbacks
-  - local: using-diffusers/reusing_seeds
-    title: Reproducibility
-  - local: using-diffusers/schedulers
-    title: Schedulers
-  - local: using-diffusers/guiders
-    title: Guiders
-  - local: using-diffusers/automodel
-    title: AutoModel
-  - local: using-diffusers/other-formats
-    title: Model formats
-  - local: using-diffusers/push_to_hub
-    title: Sharing pipelines and models
-  title: Pipelines
-- isExpanded: false
-  sections:
-  - local: tutorials/using_peft_for_inference
-    title: LoRA
-  - local: using-diffusers/ip_adapter
-    title: IP-Adapter
-  - local: using-diffusers/controlnet
-    title: ControlNet
-  - local: using-diffusers/t2i_adapter
-    title: T2I-Adapter
-  - local: using-diffusers/dreambooth
-    title: DreamBooth
-  - local: using-diffusers/textual_inversion_inference
-    title: Textual inversion
-  title: Adapters
+  - local: modular_diffusers/overview
+    title: Overview
+  - local: modular_diffusers/quickstart
+    title: Quickstart
+  - local: modular_diffusers/modular_diffusers_states
+    title: States
+  - local: modular_diffusers/pipeline_block
+    title: ModularPipelineBlocks
+  - local: modular_diffusers/sequential_pipeline_blocks
+    title: SequentialPipelineBlocks
+  - local: modular_diffusers/loop_sequential_pipeline_blocks
+    title: LoopSequentialPipelineBlocks
+  - local: modular_diffusers/auto_pipeline_blocks
+    title: AutoPipelineBlocks
+  - local: modular_diffusers/modular_pipeline
+    title: ModularPipeline
+  - local: modular_diffusers/components_manager
+    title: ComponentsManager
+  - local: modular_diffusers/auto_docstring
+    title: Auto docstring and parameter templates
+  - local: modular_diffusers/custom_blocks
+    title: Building Custom Blocks
+  - local: modular_diffusers/mellon
+    title: Using Custom Blocks with Mellon
+  title: Modular Diffusers
 - isExpanded: false
   sections:
+  - sections:
+    - local: using-diffusers/loading
+      title: DiffusionPipeline
+    - local: tutorials/autopipeline
+      title: AutoPipeline
+    - local: using-diffusers/custom_pipeline_overview
+      title: Community pipelines and components
+    - local: using-diffusers/callback
+      title: Pipeline callbacks
+    - local: using-diffusers/reusing_seeds
+      title: Reproducibility
+    - local: using-diffusers/schedulers
+      title: Schedulers
+    - local: using-diffusers/guiders
+      title: Guiders
+    - local: using-diffusers/automodel
+      title: AutoModel
+    - local: using-diffusers/other-formats
+      title: Model formats
+    - local: using-diffusers/push_to_hub
+      title: Sharing pipelines and models
+    title: Use diffusion pipelines
+  - sections:
+    - local: tutorials/using_peft_for_inference
+      title: LoRA
+    - local: using-diffusers/ip_adapter
+      title: IP-Adapter
+    - local: using-diffusers/controlnet
+      title: ControlNet
+    - local: using-diffusers/t2i_adapter
+      title: T2I-Adapter
+    - local: using-diffusers/dreambooth
+      title: DreamBooth
+    - local: using-diffusers/textual_inversion_inference
+      title: Textual inversion
+    title: Adapters and personalization
   - local: using-diffusers/weighted_prompts
     title: Prompting
-  - local: using-diffusers/create_a_server
-    title: Create a server
-  - local: using-diffusers/batched_inference
-    title: Batch inference
-  - local: training/distributed_inference
-    title: Distributed inference
-  - local: hybrid_inference/overview
-    title: Remote inference
   title: Inference
 - isExpanded: false
   sections:
-  - local: optimization/fp16
-    title: Accelerate inference
-  - local: optimization/cache
-    title: Caching
-  - local: optimization/attention_backends
-    title: Attention backends
-  - local: optimization/memory
-    title: Reduce memory usage
-  - local: optimization/speed-memory-optims
-    title: Compiling and offloading quantized models
+  - local: stable_diffusion
+    title: Basic performance
   - sections:
+    - local: optimization/fp16
+      title: Accelerate inference
+    - local: optimization/cache
+      title: Caching
+    - local: optimization/attention_backends
+      title: Attention backends
+    - local: optimization/memory
+      title: Reduce memory usage
+    - local: optimization/speed-memory-optims
+      title: Compiling and offloading quantized models
+    title: Inference optimization
+  - isExpanded: false
+    sections:
     - local: optimization/pruna
       title: Pruna
     - local: optimization/xformers
@@ -91,34 +111,51 @@
     - local: using-diffusers/image_quality
       title: FreeU
     title: Community optimizations
-  title: Inference optimization
-- isExpanded: false
-  sections:
-  - local: modular_diffusers/overview
-    title: Overview
-  - local: modular_diffusers/quickstart
-    title: Quickstart
-  - local: modular_diffusers/modular_diffusers_states
-    title: States
-  - local: modular_diffusers/pipeline_block
-    title: ModularPipelineBlocks
-  - local: modular_diffusers/sequential_pipeline_blocks
-    title: SequentialPipelineBlocks
-  - local: modular_diffusers/loop_sequential_pipeline_blocks
-    title: LoopSequentialPipelineBlocks
-  - local: modular_diffusers/auto_pipeline_blocks
-    title: AutoPipelineBlocks
-  - local: modular_diffusers/modular_pipeline
-    title: ModularPipeline
-  - local: modular_diffusers/components_manager
-    title: ComponentsManager
-  - local: modular_diffusers/auto_docstring
-    title: Auto docstring and parameter templates
-  - local: modular_diffusers/custom_blocks
-    title: Building Custom Blocks
-  - local: modular_diffusers/mellon
-    title: Using Custom Blocks with Mellon
-  title: Modular Diffusers
+  - sections:
+    - local: quantization/overview
+      title: Getting started
+    - local: quantization/bitsandbytes
+      title: bitsandbytes
+    - local: quantization/gguf
+      title: gguf
+    - local: quantization/nunchaku
+      title: Nunchaku Lite
+    - local: quantization/torchao
+      title: torchao
+    - local: quantization/quanto
+      title: quanto
+    - local: quantization/modelopt
+      title: NVIDIA ModelOpt
+    - local: quantization/autoround
+      title: AutoRound
+    - local: quantization/sdnq
+      title: SDNQ
+    title: Quantization
+  - sections:
+    - local: optimization/onnx
+      title: ONNX
+    - local: optimization/open_vino
+      title: OpenVINO
+    - local: optimization/coreml
+      title: Core ML
+    - local: optimization/mps
+      title: Metal Performance Shaders (MPS)
+    - local: optimization/habana
+      title: Intel Gaudi
+    - local: optimization/neuron
+      title: AWS Neuron
+    title: Hardware-specific acceleration
+  - sections:
+    - local: using-diffusers/batched_inference
+      title: Batch inference
+    - local: training/distributed_inference
+      title: Distributed inference
+    - local: hybrid_inference/overview
+      title: Remote inference
+    - local: using-diffusers/create_a_server
+      title: Create a server
+    title: Serving and scaling
+  title: Optimize and scale
 - isExpanded: false
   sections:
   - local: training/overview
@@ -148,7 +185,7 @@
       title: InstructPix2Pix
     - local: training/cogvideox
       title: CogVideoX
-    title: Models
+    title: Model recipes
   - sections:
     - local: training/text_inversion
       title: Textual Inversion
@@ -162,46 +199,10 @@
       title: Latent Consistency Distillation
     - local: training/ddpo
       title: Reinforcement learning training with DDPO
-    title: Methods
+    title: Training methods
   - local: training/nemo_automodel
     title: NeMo Automodel
-  title: Training
-- isExpanded: false
-  sections:
-  - local: quantization/overview
-    title: Getting started
-  - local: quantization/bitsandbytes
-    title: bitsandbytes
-  - local: quantization/gguf
-    title: gguf
-  - local: quantization/nunchaku
-    title: Nunchaku Lite
-  - local: quantization/torchao
-    title: torchao
-  - local: quantization/quanto
-    title: quanto
-  - local: quantization/modelopt
-    title: NVIDIA ModelOpt
-  - local: quantization/autoround
-    title: AutoRound
-  - local: quantization/sdnq
-    title: SDNQ
-  title: Quantization
-- isExpanded: false
-  sections:
-  - local: optimization/onnx
-    title: ONNX
-  - local: optimization/open_vino
-    title: OpenVINO
-  - local: optimization/coreml
-    title: Core ML
-  - local: optimization/mps
-    title: Metal Performance Shaders (MPS)
-  - local: optimization/habana
-    title: Intel Gaudi
-  - local: optimization/neuron
-    title: AWS Neuron
-  title: Model accelerators and hardware
+  title: Train and fine-tune
 - isExpanded: false
   sections:
   - sections:
@@ -219,22 +220,27 @@
       title: Video generation
     - local: using-diffusers/depth2img
       title: Depth-to-image
-    title: Task recipes
-  - local: using-diffusers/write_own_pipeline
-    title: Understanding pipelines, models and schedulers
+    title: Recipes
+  - sections:
+    - local: using-diffusers/write_own_pipeline
+      title: Understanding pipelines, models and schedulers
+    - local: using-diffusers/controlling_generation
+      title: Controlled generation
+    title: Concepts and background
   - local: using-diffusers/cli
     title: Command line interface
   - local: community_projects
     title: Projects built with Diffusers
-  - local: conceptual/philosophy
-    title: Philosophy
-  - local: using-diffusers/controlling_generation
-    title: Controlled generation
+  title: Resources
+- isExpanded: false
+  sections:
   - local: conceptual/contribution
-    title: How to contribute?
+    title: How to contribute
   - local: conceptual/ethical_guidelines
     title: Diffusers' Ethical Guidelines
-  title: Resources
+  - local: conceptual/philosophy
+    title: Diffusers philosophy
+  title: Contribute
 - isExpanded: false
   sections:
   - sections: