feat: integrate ComfyUI_DiffRhythm extension with 7 models and 4 workflows

- Add DiffRhythm to arty.yml references and setup/comfyui-nodes
- Install espeak-ng system dependency for phoneme processing
- Add 7 DiffRhythm models to models_huggingface.yaml with file mappings:
  * ASLP-lab/DiffRhythm-1_2 (95s generation)
  * ASLP-lab/DiffRhythm-full (4m45s generation)
  * ASLP-lab/DiffRhythm-base
  * ASLP-lab/DiffRhythm-vae
  * OpenMuQ/MuQ-MuLan-large
  * OpenMuQ/MuQ-large-msd-iter
  * FacebookAI/xlm-roberta-base
- Create 4 comprehensive workflows:
  * diffrhythm-simple-t2m-v1.json (basic 95s text-to-music)
  * diffrhythm-full-length-t2m-v1.json (4m45s full-length)
  * diffrhythm-reference-based-v1.json (style transfer with reference audio)
  * diffrhythm-random-generation-v1.json (no-prompt random generation)
- Update storage requirements: 90GB essential, 149GB total

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

models_huggingface.yaml

@@ -485,6 +485,116 @@ model_categories:
         - source: "sdxl_models/ip-adapter-plus-face_sdxl_vit-h.safetensors"
           dest: "ip-adapter-plus-face_sdxl_vit-h.safetensors"
 
+  # ==========================================================================
+  # DIFFRHYTHM MODELS (Full-length song generation)
+  # ==========================================================================
+  diffrhythm_models:
+    - repo_id: ASLP-lab/DiffRhythm-1_2
+      description: DiffRhythm 1.2 - 95 second generation model
+      size_gb: 2
+      essential: true
+      category: diffrhythm
+      type: TTS/DiffRhythm
+      format: pt
+      vram_gb: 12
+      duration_seconds: 95
+      notes: Latest 95-second generation model
+      files:
+        - source: "cfm_model.pt"
+          dest: "cfm_model_v1_2.pt"
+
+    - repo_id: ASLP-lab/DiffRhythm-full
+      description: DiffRhythm Full - 4m45s full-length generation
+      size_gb: 2
+      essential: false
+      category: diffrhythm
+      type: TTS/DiffRhythm
+      format: pt
+      vram_gb: 16
+      duration_seconds: 285
+      notes: Full-length 4 minute 45 second music generation
+      files:
+        - source: "cfm_model.pt"
+          dest: "cfm_full_model.pt"
+
+    - repo_id: ASLP-lab/DiffRhythm-base
+      description: DiffRhythm Base - 95 second base model
+      size_gb: 2
+      essential: false
+      category: diffrhythm
+      type: TTS/DiffRhythm
+      format: pt
+      vram_gb: 12
+      duration_seconds: 95
+      notes: Base 95-second model
+      files:
+        - source: "cfm_model.pt"
+          dest: "cfm_model.pt"
+
+    - repo_id: ASLP-lab/DiffRhythm-vae
+      description: DiffRhythm VAE - Variational autoencoder
+      size_gb: 1
+      essential: true
+      category: diffrhythm
+      type: TTS/DiffRhythm
+      format: pt
+      vram_gb: 2
+      notes: VAE component fine-tuned from Stable Audio Open (Stability AI Community License)
+      files:
+        - source: "vae_model.pt"
+          dest: "vae_model.pt"
+
+    - repo_id: OpenMuQ/MuQ-MuLan-large
+      description: MuQ-MuLan-large - Music-text joint embedding (~700M parameters)
+      size_gb: 3
+      essential: true
+      category: diffrhythm
+      type: TTS/DiffRhythm/MuQ-MuLan-large
+      format: bin
+      vram_gb: 4
+      notes: Music-text joint embedding for semantic understanding (English/Chinese)
+      files:
+        - source: "config.json"
+          dest: "config.json"
+        - source: "pytorch_model.bin"
+          dest: "pytorch_model.bin"
+
+    - repo_id: OpenMuQ/MuQ-large-msd-iter
+      description: MuQ-large-msd-iter - Music representation learning (~300M parameters)
+      size_gb: 1.2
+      essential: true
+      category: diffrhythm
+      type: TTS/DiffRhythm/MuQ-large-msd-iter
+      format: safetensors
+      vram_gb: 2
+      notes: Music representation model trained on Million Song Dataset
+      files:
+        - source: "config.json"
+          dest: "config.json"
+        - source: "model.safetensors"
+          dest: "model.safetensors"
+
+    - repo_id: FacebookAI/xlm-roberta-base
+      description: XLM-RoBERTa Base - Multilingual text encoder (100 languages, 0.3B params)
+      size_gb: 1.1
+      essential: true
+      category: diffrhythm
+      type: TTS/DiffRhythm/xlm-roberta-base
+      format: safetensors
+      vram_gb: 1
+      notes: Multilingual text encoding for 100 languages
+      files:
+        - source: "config.json"
+          dest: "config.json"
+        - source: "model.safetensors"
+          dest: "model.safetensors"
+        - source: "sentencepiece.bpe.model"
+          dest: "sentencepiece.bpe.model"
+        - source: "tokenizer.json"
+          dest: "tokenizer.json"
+        - source: "tokenizer_config.json"
+          dest: "tokenizer_config.json"
+
 # ============================================================================
 # STORAGE & VRAM SUMMARIES
 # ============================================================================
@@ -495,14 +605,16 @@ storage_requirements:
     video: 28      # CogVideoX + SVD
     audio: 11      # MusicGen Medium
     support: 11    # All 3 CLIP models
-    total: 80      # Total essential storage
+    diffrhythm: 10 # DiffRhythm essential models
+    total: 90      # Total essential storage
 
   all_models:
     image: 54      # All image models
     video: 36      # All video models
     audio: 36      # All audio models
     support: 11    # All support models
-    total: 137     # Total with optional models
+    diffrhythm: 12 # All DiffRhythm models
+    total: 149     # Total with optional models
 
 vram_requirements:
   # For 24GB GPU (RTX 4090)