rock
0aaa45edb0
Root cause: k8s Service named 'comfyui' auto-injects COMFYUI_PORT=tcp://... into pod env, clobbering ai-dock's own COMFYUI_PORT variable which expects a port number. This broke caddy's proxy config, leaving port 8188 dead. Fix: enableServiceLinks: false, revert to port 8188 (ai-dock default). Also bump startup probe failureThreshold 60->120 (20min budget for model loading).
83 lines
2.1 KiB
YAML
83 lines
2.1 KiB
YAML
# ComfyUI — GPU-accelerated image generation on worker-1.
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# Uses 1x V100 32GB (sm70). Freed by scaling ornith 2→1.
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apiVersion: apps/v1
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kind: Deployment
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metadata:
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name: comfyui
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namespace: comfyui
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labels:
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app: comfyui
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spec:
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replicas: 1
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strategy:
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type: Recreate
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selector:
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matchLabels:
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app: comfyui
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template:
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metadata:
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labels:
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app: comfyui
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spec:
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nodeSelector:
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kubernetes.io/hostname: worker-1
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runtimeClassName: nvidia
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# k8s Service named 'comfyui' injects COMFYUI_PORT=tcp://... into pod env,
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# which clobbers ai-dock's own COMFYUI_PORT variable (expects a port number).
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# Disable service link injection to avoid the collision.
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enableServiceLinks: false
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containers:
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- name: comfyui
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image: ghcr.io/ai-dock/comfyui:v2-cuda-12.1.1-base-22.04
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ports:
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- containerPort: 8188
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protocol: TCP
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env:
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- name: NVIDIA_VISIBLE_DEVICES
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value: "all"
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resources:
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requests:
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cpu: "4"
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memory: 8Gi
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nvidia.com/gpu: "1"
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limits:
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cpu: "8"
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memory: 16Gi
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nvidia.com/gpu: "1"
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volumeMounts:
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- mountPath: /workspace/ComfyUI/models
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name: models
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- mountPath: /workspace/ComfyUI/output
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name: output
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readinessProbe:
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httpGet:
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path: /
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port: 8188
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periodSeconds: 10
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initialDelaySeconds: 30
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startupProbe:
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httpGet:
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path: /
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port: 8188
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failureThreshold: 120
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periodSeconds: 10
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volumes:
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- name: models
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persistentVolumeClaim:
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claimName: comfyui-models
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- name: output
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emptyDir: {}
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---
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apiVersion: v1
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kind: PersistentVolumeClaim
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metadata:
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name: comfyui-models
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namespace: comfyui
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spec:
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accessModes:
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- ReadWriteOnce
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storageClassName: longhorn
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resources:
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requests:
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storage: 50Gi
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