FriendliAI Container.Image API

openapi: 3.1.0
info:
  title: Friendli Suite API Reference Container.Audio Container.Image API
  description: This is an OpenAPI reference of Friendli Suite API.
  termsOfService: https://friendli.ai/terms-of-service
  contact:
    name: FriendliAI Support Team
    email: support@friendli.ai
  version: 0.1.0
servers:
- url: https://api.friendli.ai
tags:
- name: Container.Image
paths:
  /v1/images/generations:
    servers:
    - url: http://localhost:8000
    post:
      tags:
      - Container.Image
      summary: Image generations
      description: Generate an image from a text prompt.
      operationId: containerImagesGenerate
      requestBody:
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/ContainerImageGenerationBody'
        required: true
      responses:
        '200':
          description: Successfully generated image.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/ContainerImageGenerateSuccess'
              examples:
                Example:
                  value:
                    image: <base64 encoded image>
        '422':
          description: Unprocessable Entity
      x-speakeasy-name-override: generate
      x-mint:
        metadata:
          title: Container Image Generations
          sidebarTitle: Image Generations
          og:title: Container Image Generations
          description: Generate an image from a text prompt.
          og:description: Generate an image from a text prompt.
        href: /openapi/container/image-generations
        content: Generate an image from a text prompt.
  /v1/images/edits:
    servers:
    - url: http://localhost:8000
    post:
      tags:
      - Container.Image
      summary: Image edits
      description: Edit an image based on a text prompt.
      operationId: containerImagesEdit
      requestBody:
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/ContainerImageEditBody'
        required: true
      responses:
        '200':
          description: Successfully edited image.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/ContainerImageEditSuccess'
              examples:
                Example:
                  value:
                    image: <base64 encoded image>
        '422':
          description: Unprocessable Entity
      x-speakeasy-name-override: edit
      x-mint:
        metadata:
          title: Container Image Edits
          sidebarTitle: Image Edits
          og:title: Container Image Edits
          description: Edit an image based on a text prompt.
          og:description: Edit an image based on a text prompt.
        href: /openapi/container/image-edits
        content: Edit an image based on a text prompt.
components:
  schemas:
    ImageGenerationContainerResult:
      properties:
        image:
          type: string
          format: binary
          title: Image
          description: The base64-encoded image.
      type: object
      required:
      - image
      title: ImageGenerationContainerResult
    ContainerImageEditSuccess:
      $ref: '#/components/schemas/ImageGenerationContainerResult'
      title: ContainerImageEditSuccess
    ImageInput:
      properties:
        image:
          type: string
          title: Image
          description: An input image, provided either as a URL or a base64-encoded string. Maximum supported image size is 50 MiB.
          examples:
          - https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png
          - data:image/png;base64,...
      type: object
      required:
      - image
      title: ImageInput
    ContainerImageGenerationBody:
      properties:
        model:
          anyOf:
          - type: string
          - type: 'null'
          title: Model
          description: Routes the request to a specific adapter.
          examples:
          - (adapter-route)
        prompt:
          type: string
          title: Prompt
          description: A text description of the desired image.
        num_inference_steps:
          type: integer
          title: Num Inference Steps
          description: 'The number of inference steps to use during image generation. Defaults to 20. Supported range: [1, 50].'
          default: 20
        guidance_scale:
          type: number
          title: Guidance Scale
          description: Adjusts the alignment of the generated image with the input prompt. Higher values (e.g., 8-10) make the output more faithful to the prompt, while lower values (e.g., 1-5) encourage more creative freedom. Defaults to 0. This parameter may be irrelevant for certain models, such as `FLUX.Schnell`.
          default: 0.0
        seed:
          anyOf:
          - type: integer
          - type: 'null'
          title: Seed
          description: The seed to use for image generation.
        response_format:
          anyOf:
          - type: string
            enum:
            - raw
            - jpeg
          - type: 'null'
          title: Response Format
          description: The format in which the generated image will be returned. One of `raw` and `jpeg`.
          default: jpeg
        control_images:
          anyOf:
          - items:
              $ref: '#/components/schemas/ImageInput'
            type: array
          - type: 'null'
          title: Control Images
          description: Optional input images used to condition or guide the generation process (e.g., for ControlNet or image editing models). This field is only applicable when using ControlNet or image editing models.
        controlnet_weights:
          anyOf:
          - items:
              type: number
            type: array
          - type: 'null'
          title: Controlnet Weights
          description: A list of weights that determine the influence of each ControlNet model in the generation process. Each value must be within [0, 1], where 0 disables the corresponding ControlNet and 1 applies it fully. When multiple ControlNet models are used, the list length must match the number of control images. If omitted, all ControlNet models default to full influence (1.0). This field is only applicable when using ControlNet models.
      type: object
      required:
      - prompt
      title: ContainerImageGenerationBody
      example:
        guidance_scale: 3.5
        num_inference_steps: 10
        prompt: An orange Lamborghini driving down a hill road at night with a beautiful ocean view in the background.
    ContainerImageGenerateSuccess:
      $ref: '#/components/schemas/ImageGenerationContainerResult'
      title: ContainerImageGenerateSuccess
    ContainerImageEditBody:
      properties:
        image:
          anyOf:
          - $ref: '#/components/schemas/ImageInput'
          - items:
              $ref: '#/components/schemas/ImageInput'
            type: array
          title: Image
          description: The image(s) to edit. Must be in a supported image format.
        prompt:
          type: string
          title: Prompt
          description: A text description of the desired image.
        model:
          anyOf:
          - type: string
          - type: 'null'
          title: Model
          description: Routes the request to a specific adapter.
          examples:
          - (adapter-route)
        num_inference_steps:
          type: integer
          title: Num Inference Steps
          description: 'The number of inference steps to use during image generation. Defaults to 20. Supported range: [1, 50].'
          default: 20
        guidance_scale:
          type: number
          title: Guidance Scale
          description: Adjusts the alignment of the generated image with the input prompt. Higher values (e.g., 8-10) make the output more faithful to the prompt, while lower values (e.g., 1-5) encourage more creative freedom. Defaults to 0. This parameter may be irrelevant for certain models, such as `FLUX.Schnell`.
          default: 0.0
        seed:
          anyOf:
          - type: integer
          - type: 'null'
          title: Seed
          description: The seed to use for image generation.
        response_format:
          anyOf:
          - type: string
            enum:
            - raw
            - jpeg
          - type: 'null'
          title: Response Format
          description: The format in which the generated image will be returned. One of `raw` and `jpeg`.
          default: jpeg
      type: object
      required:
      - image
      - prompt
      title: ContainerImageEditBody
      example:
        guidance_scale: 0.0
        image: '@/path/to/file/image.png'
        num_inference_steps: 20
        prompt: Add a red sports car in the foreground.
  securitySchemes:
    token:
      type: http
      description: 'When using Friendli Suite API for inference requests, you need to provide a **Friendli Token** for authentication and authorization purposes.


        For more detailed information, please refer [here](https://friendli.ai/docs/openapi/introduction#authentication).'
      scheme: bearer
x-speakeasy-retries:
  strategy: backoff
  backoff:
    initialInterval: 500
    maxInterval: 60000
    maxElapsedTime: 3600000
    exponent: 1.5
  statusCodes:
  - 429
  - 500
  - 502
  - 503
  - 504
  retryConnectionErrors: true