ComfyUI AudioCraft: Nodes, API scripts, Dockerfile updates

- AudioGen/MusicGen custom nodes mit OUTPUT_NODE=True fuer API
- generate_audio.py: Alle Krieger-SFX + Menumusik generiert
- generate_via_api.py: ComfyUI REST API Integration
- Dockerfile: CUDA 12.4, PyTorch 2.3+, pkg-config Fix fuer PyAV
- docker-compose: HuggingFace Cache Volume fuer persistente Modelle
- workflow_game_audio.json: ComfyUI Workflow fuer Game Audio

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

comfyui-audio/generate_audio.py

@@ -0,0 +1,65 @@
+"""
+Game Audio Generator - nutzt AudioCraft direkt
+Aufruf: python generate_audio.py
+"""
+import torch
+import os
+import time
+
+OUTPUT_DIR = "/app/ComfyUI/output/audio"
+os.makedirs(OUTPUT_DIR, exist_ok=True)
+
+TRACKS = [
+    # Menü Musik
+    ("music", "dark fantasy main menu music, epic orchestral, dramatic, mysterious, dark medieval atmosphere, slow build, no vocals", 40, "menu_music"),
+
+    # Krieger Attacken
+    ("sfx", "fast sword swing whoosh attack sound effect", 1, "attack_autoattack"),
+    ("sfx", "heavy powerful sword strike crushing impact metal clang", 2, "attack_heavy_strike"),
+    ("sfx", "massive ground slam earthquake shockwave stone cracking impact", 2, "attack_tektonischer_schlag"),
+    ("sfx", "warrior battle cry rage grunt determination short", 2, "attack_durchbeissen"),
+    ("sfx", "blade slash wet blood hit dark melee attack", 2, "attack_blutrausch"),
+    ("sfx", "fast spinning whirlwind sword multiple swings whoosh", 2, "attack_wirbelwind"),
+    ("sfx", "chains rattling metal binding restraint whoosh throw", 2, "attack_zornfesseln"),
+    ("sfx", "berserker rage roar battle fury intense warrior scream", 3, "attack_berserker"),
+]
+
+def generate_music(prompt, duration, filename):
+    from audiocraft.models import MusicGen
+    from audiocraft.data.audio import audio_write
+
+    print(f"  [MusicGen] {filename}: {prompt[:50]}...")
+    model = MusicGen.get_pretrained("facebook/musicgen-small")
+    model.set_generation_params(duration=duration)
+    wav = model.generate([prompt])
+    out = os.path.join(OUTPUT_DIR, filename)
+    audio_write(out, wav[0].cpu(), model.sample_rate, strategy="loudness")
+    print(f"  -> gespeichert: {out}.wav")
+
+def generate_sfx(prompt, duration, filename):
+    from audiocraft.models import AudioGen
+    from audiocraft.data.audio import audio_write
+
+    print(f"  [AudioGen] {filename}: {prompt[:50]}...")
+    model = AudioGen.get_pretrained("facebook/audiogen-medium")
+    model.set_generation_params(duration=duration)
+    wav = model.generate([prompt])
+    out = os.path.join(OUTPUT_DIR, filename)
+    audio_write(out, wav[0].cpu(), model.sample_rate, strategy="loudness")
+    print(f"  -> gespeichert: {out}.wav")
+
+if __name__ == "__main__":
+    print(f"GPU: {torch.cuda.get_device_name(0) if torch.cuda.is_available() else 'CPU'}")
+    print(f"Output: {OUTPUT_DIR}\n")
+
+    music_model = None
+    sfx_model = None
+
+    for typ, prompt, duration, filename in TRACKS:
+        print(f"\n[{typ.upper()}] {filename}")
+        if typ == "music":
+            generate_music(prompt, duration, filename)
+        else:
+            generate_sfx(prompt, duration, filename)
+
+    print("\nFertig! Alle Audio-Dateien wurden generiert.")