# Default values for stable-diffusion. # This is a YAML-formatted file. # Declare variables to be passed into your templates. replicaCount: 1 image: repository: amithkk/stable-diffusion pullPolicy: IfNotPresent # Overrides the image tag whose default is the chart appVersion. tag: "latest" # Stable Diffusion and optional companion models. Change these out if you'd like models: sd14: https://huggingface.co/CompVis/stable-diffusion-v-1-4-original/resolve/main/sd-v1-4.ckpt gfpGan13: https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth realEsrGanx4p10: https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth realEsrGanx4Animep02: https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.2.4/RealESRGAN_x4plus_anime_6B.pth imagePullSecrets: [] nameOverride: "" fullnameOverride: "" cliFlags: "--extra-models-cpu --optimized-turbo -v 100" persistence: annotations: {} ## If defined, storageClass: ## If set to "-", storageClass: "", which disables dynamic provisioning ## If undefined (the default) or set to null, no storageClass spec is ## set, choosing the default provisioner. (gp2 on AWS, standard on ## GKE, AWS & OpenStack) ## accessMode: ReadWriteOnce size: 20Gi serviceAccount: # Specifies whether a service account should be created create: true # Annotations to add to the service account annotations: {} # The name of the service account to use. # If not set and create is true, a name is generated using the fullname template name: "" podAnnotations: {} podSecurityContext: {} # fsGroup: 2000 securityContext: {} # capabilities: # drop: # - ALL # readOnlyRootFilesystem: true # runAsNonRoot: true # runAsUser: 1000 service: type: ClusterIP port: 80 ingress: enabled: false className: "" annotations: {} # kubernetes.io/ingress.class: nginx # kubernetes.io/tls-acme: "true" hosts: - host: chart-example.local paths: - path: / pathType: ImplementationSpecific tls: [] # - secretName: chart-example-tls # hosts: # - chart-example.local resources: {} # We usually recommend not to specify default resources and to leave this as a conscious # choice for the user. This also increases chances charts run on environments with little # resources, such as Minikube. If you do want to specify resources, uncomment the following # lines, adjust them as necessary, and remove the curly braces after 'resources:'. # limits: # cpu: 100m # memory: 128Mi # requests: # cpu: 100m # memory: 128Mi autoscaling: enabled: false minReplicas: 1 maxReplicas: 100 targetCPUUtilizationPercentage: 80 # targetMemoryUtilizationPercentage: 80 nodeSelector: nvidia.com/gpu.present: "true" tolerations: [] affinity: {}