Getting Started Stable Diffusion with LoRA models
1. About Stable Diffusion
This document is written by following this document.
First, create CRDs and resources in the default
namespace.
set LATEST (curl -s https://api.github.com/repos/prometheus-operator/prometheus-operator/releases/latest | jq -cr .tag_name)
curl -sLO https://github.com/prometheus-operator/prometheus-operator/releases/download/$LATEST/bundle.yaml
kubectl apply -f bundle.yaml
Note that I failed to create a prometheus resource because the CRD definition was too big like next.
The CustomResourceDefinition "prometheuses.monitoring.coreos.com" is invalid: metadata.annotations: Too long: must have at most 262144 bytes
Hence, I created the resource by the next command.
kubectl apply --server-side=true -f https://raw.githubusercontent.com/prometheus-operator/kube-prometheus/main/manifests/setup/0prometheusCustomResourceDefinition.yaml
Create a prometheus server with exposing its admin API
apiVersion: monitoring.coreos.com/v1
kind: Prometheus
metadata:
name: prometheus
spec:
serviceAccountName: prometheus
podMonitorSelector:
matchLabels:
team: frontend
resources:
requests:
memory: 400Mi
enableAdminAPI: true
apiVersion: v1
kind: ServiceAccount
metadata:
name: prometheus
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
name: prometheus
rules:
- apiGroups: [""]
resources:
- nodes
- nodes/metrics
- services
- endpoints
- pods
verbs: ["get", "list", "watch"]
- apiGroups: [""]
resources:
- configmaps
verbs: ["get"]
- apiGroups:
- networking.k8s.io
resources:
- ingresses
verbs: ["get", "list", "watch"]
- nonResourceURLs: ["/metrics"]
verbs: ["get"]
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
name: prometheus
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: ClusterRole
name: prometheus
subjects:
- kind: ServiceAccount
name: prometheus
namespace: default
On an application to be monitored, create a ServiceMonitor CRD. For example, if there is the next example app,
apiVersion: apps/v1
kind: Deployment
metadata:
name: example-app
spec:
replicas: 3
selector:
matchLabels:
app: example-app
template:
metadata:
labels:
app: example-app
spec:
containers:
- name: example-app
image: fabxc/instrumented_app
ports:
- name: web
containerPort: 8080
---
kind: Service
apiVersion: v1
metadata:
name: example-app
labels:
app: example-app
spec:
selector:
app: example-app
ports:
- name: web
port: 8080
Then deploy the ServiceMonitor like next
apiVersion: monitoring.coreos.com/v1
kind: ServiceMonitor
metadata:
name: example-app
labels:
team: frontend
spec:
selector:
matchLabels:
app: example-app
endpoints:
- port: web
Confirm if this configuration works. At first, confirm what kind of metrics are output by example-app.
kubectl port-forward service/example-app 18080:8080
curl localhost:18080/metrics
Then access to the prometheus and see if the query runs
kubectl port-forward svc/prometheus-operated 9091:9090
Then open the browser and see if prometheus query shows the correct data.
If you can’t, see the troubleshooting page for more details.
To utilize some metrics of nodes, follow this article.
At first, deploy
---
apiVersion: apps/v1
kind: DaemonSet
metadata:
labels:
app: node-exporter
name: node-exporter
namespace: prometheus
spec:
selector:
matchLabels:
app: node-exporter
template:
metadata:
annotations:
cluster-autoscaler.kubernetes.io/safe-to-evict: "true"
labels:
app: node-exporter
spec:
containers:
- args:
- --web.listen-address=0.0.0.0:9100
- --path.procfs=/host/proc
- --path.sysfs=/host/sys
image: quay.io/prometheus/node-exporter:v0.18.1
imagePullPolicy: IfNotPresent
name: node-exporter
ports:
- containerPort: 9100
hostPort: 9100
name: metrics
protocol: TCP
resources:
limits:
cpu: 200m
memory: 50Mi
requests:
cpu: 100m
memory: 30Mi
volumeMounts:
- mountPath: /host/proc
name: proc
readOnly: true
- mountPath: /host/sys
name: sys
readOnly: true
hostNetwork: true
hostPID: true
restartPolicy: Always
tolerations:
- effect: NoSchedule
operator: Exists
- effect: NoExecute
operator: Exists
volumes:
- hostPath:
path: /proc
type: ""
name: proc
- hostPath:
path: /sys
type: ""
name: sys
---
apiVersion: v1
kind: Service
metadata:
labels:
app: node-exporter
name: node-exporter
namespace: prometheus
spec:
ports:
- name: node-exporter
port: 9100
protocol: TCP
targetPort: 9100
selector:
app: node-exporter
sessionAffinity: None
type: ClusterIP
---
apiVersion: monitoring.coreos.com/v1
kind: ServiceMonitor
metadata:
labels:
app: node-exporter
serviceMonitorSelector: prometheus
name: node-exporter
namespace: prometheus
spec:
endpoints:
- honorLabels: true
interval: 30s
path: /metrics
targetPort: 9100
jobLabel: node-exporter
namespaceSelector:
matchNames:
- prometheus
selector:
matchLabels:
app: node-exporter
Then change the Prometheus resources
- serviceMonitorSelector:
- matchLabels:
- team: frontend
+ serviceMonitorSelector: {}
Install from helm charts following the official document.
At first, install kube-state-metrics into a namespace, let’s say kube-state-metrics
.
Then set up a ServiceMonitor
apiVersion: monitoring.coreos.com/v1
kind: ServiceMonitor
metadata:
labels:
app: kube-state-metrics
serviceMonitorSelector: prometheus
name: kube-state-metrics
namespace: prometheus
spec:
selector:
matchLabels:
app.kubernetes.io/name: kube-state-metrics
jobLabel: kube-state-metrics
namespaceSelector:
matchNames:
- kube-state-metrics
endpoints:
- port: http
Then I was able to see some metrics exported by kube-state-metrics.
1. About Stable Diffusion
Basic commands
Template package
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