Remove ineffective photo restoration pipeline

compose.yaml

@@ -618,11 +618,6 @@ services:
       IMAGE_WORKER_URL: http://image-worker:8086
       IMAGE_WORKER_TOKEN: "${CONTROLLER_TOKEN:?CONTROLLER_TOKEN is required}"
       IMAGE_MODEL_NAME: FLUX.2-klein-9B-fp8-beta
-      RESTORATION_WORKER_URL: http://restoration-worker:8087
-      RESTORATION_WORKER_TOKEN: "${CONTROLLER_TOKEN:?CONTROLLER_TOKEN is required}"
-      RESTORATION_MODEL_NAME: HYPIR-SD2
-      RESTORATION_CHAT_MODEL: restauration
-      RESTORATION_CHAT_PROFILE: fast
       CHAT_IMAGE_ALLOW_REMOTE_URLS: "false"
       ENABLE_IMAGE_GENERATION: "true"
       ENABLE_TTS: "true"
@@ -699,44 +694,6 @@ services:
       timeout: 3s
       retries: 12
 
-  restoration-worker:
-    build:
-      context: platform/docker/restoration-worker
-      args:
-        HYPIR_COMMIT: b61d107c6cef38f01a93c7833558869731cfa8c1
-    image: mike-ai/restoration-worker:hypir-sd2
-    container_name: mike-ai-restoration-worker
-    restart: "no"
-    profiles: [image]
-    labels:
-      com.mike-ai.image-worker: restore
-    gpus: all
-    read_only: true
-    tmpfs: ["/tmp:size=1g,mode=1777"]
-    volumes:
-      - "${HYPIR_MODEL_DIR:-/data/models/HYPIR}:/models/hypir:ro"
-      - "${HYPIR_SD2_DIR:-/data/models/stable-diffusion-2-1-base}:/models/sd2:ro"
-      - router-images:/data/images
-    environment:
-      NVIDIA_VISIBLE_DEVICES: "${RESTORATION_GPU_DEVICE:-1}"
-      NVIDIA_DRIVER_CAPABILITIES: compute,utility
-      WORKER_TOKEN: "${CONTROLLER_TOKEN:?CONTROLLER_TOKEN is required}"
-      HYPIR_BASE_MODEL: /models/sd2
-      HYPIR_WEIGHT_FILE: /models/hypir/HYPIR_sd2.pth
-      HYPIR_DEVICE: cuda:0
-      # Empty conditioning avoids prompt-driven repainting in the conservative
-      # restoration profile. Set to passthrough only for deliberate experiments.
-      HYPIR_PROMPT_MODE: "empty"
-      IMAGE_DIR: /data/images
-    networks: [inference]
-    security_opt: ["no-new-privileges:true"]
-    cap_drop: [ALL]
-    healthcheck:
-      test: [CMD, python, -c, "import urllib.request; urllib.request.urlopen('http://127.0.0.1:8087/health', timeout=2)"]
-      interval: 5s
-      timeout: 3s
-      retries: 12
-
   piper:
     build:
       context: platform/docker/piper