[Doc] Refine Diffusion Tutorial Documents (#1305)

Signed-off-by: Didan Deng <33117903+wtomin@users.noreply.github.com>

docs/.nav.yml

@@ -58,12 +58,6 @@ nav:
     - contributing/model/README.md
     - contributing/model/adding_omni_model.md
     - contributing/model/adding_diffusion_model.md
-    - Advanced Features:
-      - contributing/features/cfg_parallel.md
-      - contributing/features/sequence_parallel.md
-      - contributing/features/tensor_parallel.md
-      - contributing/features/cache_dit.md
-      - contributing/features/teacache.md
   - CI: contributing/ci
   - Design Documents:
     - design/index.md
@@ -72,6 +66,11 @@ nav:
       - design/feature/disaggregated_inference.md
       - design/feature/ray_based_execution.md
       - design/feature/omni_connectors/
+      - design/feature/cfg_parallel.md
+      - design/feature/sequence_parallel.md
+      - design/feature/tensor_parallel.md
+      - design/feature/cache_dit.md
+      - design/feature/teacache.md
     - Module Design:
       - design/module/ar_module.md
       - design/module/dit_module.md

docs/contributing/model/adding_diffusion_model.md

@@ -1,4 +1,4 @@
-# Adding a Diffusion Model to vLLM-Omni
+# Adding a Diffusion Model
 
 This guide walks you through adding a new diffusion model to vLLM-Omni. We use **Qwen-Image** as the primary example, with references to other models (LongCat, Flux, Wan2.2) to illustrate different patterns.
 
@@ -680,7 +680,7 @@ vLLM-Omni automatically compiles blocks in `_repeated_blocks` when `torch.compil
 
 ### Tensor Parallelism
 
-See detailed guide: [How to add Tensor Parallel support](../features/tensor_parallel.md)
+See detailed guide: [How to add Tensor Parallel support](../../design/feature/tensor_parallel.md)
 
 **Quick setup:**
 
@@ -694,7 +694,7 @@ omni = Omni(model="your-model", tensor_parallel_size=2)
 
 ### CFG Parallelism
 
-See detailed guide: [How to add CFG-Parallel support](../features/cfg_parallel.md)
+See detailed guide: [How to add CFG-Parallel support](../../design/feature/cfg_parallel.md)
 
 **Quick setup:**
 
@@ -708,7 +708,7 @@ omni = Omni(model="your-model", cfg_parallel_size=2)
 
 ### Sequence Parallelism
 
-See detailed guide: [How to add Sequence Parallel support](../features/sequence_parallel.md)
+See detailed guide: [How to add Sequence Parallel support](../../design/feature/sequence_parallel.md)
 
 **Quick setup:**
 
@@ -724,7 +724,7 @@ omni = Omni(model="your-model", ulysses_degree=2, ring_degree=2)
 
 #### TeaCache
 
-See detailed guide: [How to add TeaCache support](../features/teacache.md)
+See detailed guide: [How to add TeaCache support](../../design/feature/teacache.md)
 
 **Quick setup:**
 
@@ -744,7 +744,7 @@ omni = Omni(model="your-model",
 
 #### Cache-DiT
 
-See detailed guide: [How to add Cache-DiT support](../features/cache_dit.md)
+See detailed guide: [How to add Cache-DiT support](../../design/feature/cache_dit.md)
 
 **Quick setup:**
 

docs/design/feature/cache_dit.md

@@ -1,4 +1,4 @@
-# Support Cache-DiT
+# Cache-DiT
 
 This section describes how to add cache-dit acceleration to a new diffusion pipeline. We use the Qwen-Image pipeline and LongCat-Image pipeline as reference implementations.
 

docs/design/feature/cfg_parallel.md

@@ -1,4 +1,4 @@
-# Support CFG-Parallel
+# CFG-Parallel
 
 This section describes how to add CFG-Parallel (Classifier-Free Guidance Parallel) to a diffusion pipeline. We use the Qwen-Image pipeline as the reference implementation.
 

docs/design/feature/sequence_parallel.md

@@ -1,4 +1,4 @@
-# Support Sequence Parallel
+# Sequence Parallel
 
 This section describes how to add Sequence Parallel (SP) to a diffusion transformer model. We use the Qwen-Image transformer and Wan2.2 transformer as reference implementations.
 

docs/design/feature/teacache.md

@@ -1,4 +1,4 @@
-# Support TeaCache
+# TeaCache
 
 This section describes how to add TeaCache to a diffusion transformer model. We use the Qwen-Image transformer as the reference implementation.
 

docs/design/feature/tensor_parallel.md

@@ -1,4 +1,4 @@
-# Support Tensor Parallel
+# Tensor Parallel
 
 This section describes how to add Tensor Parallel (TP) to a diffusion transformer model. We use the Z-Image transformer as the reference implementation.