deploy.yaml

---
version: "2.0"
services:
  invokeai:
    image: ghcr.io/invoke-ai/invokeai:main-cuda
    expose:
      - port: 9090
        as: 80
        to:
          - global: true
    env:
      - INVOKEAI_HOST=0.0.0.0
      - INVOKEAI_PORT=9090
    #Additional Configuration : https://invoke-ai.github.io/InvokeAI/features/CONFIGURATION/#all-settings
    #params:
    #  storage:
    #    data:
    #      mount: /invokeai
    #      readOnly: false
    #Uncomment this section to enable persistent storage
profiles:
  compute:
    invokeai:
      resources:
        cpu:
          units: 8.0
        memory:
          size: 28Gi
        storage:
          size: 100Gi
        #  - name: data
        #    size: 100Gi
        #    attributes:
        #      persistent: true
        #      class: beta3
        #Uncomment this section to enable persistent storage
        gpu:
          units: 1
          attributes:
            vendor:
              nvidia:
  placement:
    akash:
      #######################################################
      #Keep this section to deploy on trusted providers
      signedBy:
        anyOf:
          - "akash1365yvmc4s7awdyj3n2sav7xfx76adc6dnmlx63"
          - "akash18qa2a2ltfyvkyj0ggj3hkvuj6twzyumuaru9s4"
      #######################################################
      #Remove this section to deploy on untrusted providers
      #Beware* You may have deployment, security, or other issues on untrusted providers
      #https://akash.network/docs/providers/audited-attributes
      pricing:
        invokeai:
          denom: uakt
          amount: 10000
deployment:
  invokeai:
    akash:
      profile: invokeai
      count: 1