Simplismart Model API

openapi: 3.1.0
info:
  title: DeepSeek R1 Distil Qwen-32B Chat Completion Model API
  description: High-capacity LLM for complex tasks
  version: 1.0.0
servers:
- url: https://api.simplismart.live
  description: DeepSeek-R1-Distill-Qwen-32B Proxy Server
security:
- BearerAuth: []
tags:
- name: Model
paths:
  /model/infer/flux:
    post:
      summary: Generate images using the Flux model
      description: 'This endpoint generates images based on a prompt using the Flux model, with optional parameters for customization.

        '
      operationId: generateImage
      parameters:
      - in: header
        name: Authorization
        description: Bearer token for authentication
        required: true
        schema:
          type: string
          example: 'Bearer '
      - in: body
        name: body
        description: Request body for generating an image
        required: true
        content:
          application/json:
            schema:
              type: object
              properties:
                prompt:
                  type: string
                  description: "The prompt parameter is a string that defines the content or concept the Flux model should generate. \nIt specifies the desired characteristics, theme, or scene of the image, guiding the model to produce a \nrelevant output based on the input description.\n"
                  example: Futuristic city skyline, magnificent crystal clear picture. realistic skyscrapers
                height:
                  type: integer
                  description: Height of the generated image in pixels.
                  example: 1024
                width:
                  type: integer
                  description: Width of the generated image in pixels.
                  example: 1024
                seed:
                  type: integer
                  description: "The seed parameter is a random number that ensures reproducibility, producing the same output for \nidentical inputs across multiple runs.\n"
                  example: 129232030
                num_inference_steps:
                  type: integer
                  description: "The Num_Inference_Steps parameter determines the number of iterations the model performs during image \ngeneration, with more steps improving image quality at the cost of increased processing time. \nThe recommended number is 28.\n"
                  example: 28
                num_images_per_prompt:
                  type: integer
                  description: "The Num_images_per_prompt specifies the number of images the API should generate for a given input prompt. \nEach prompt can be associated with one or more images, depending on the value set for this parameter.\n"
                  example: 1
                guidance_scale:
                  type: number
                  format: float
                  description: "The guidance_scale controls how closely the model follows the input prompt. Higher values make the image stick \nmore closely to the prompt, while lower values allow for more creative freedom. \nThe recommended number is 3.\n"
                  example: 3
                negative_prompt:
                  type: string
                  description: Optional negative prompt to influence the model's generation.
                  example: dystopian
                controlnet_type:
                  type: string
                  description: ControlNet type for additional model control.
                  example: depth
                image:
                  type: string
                  description: URL of an input image to use for additional processing.
                  example: https://test-bucket-invideo.s3.ap-south-1.
                lora_weights:
                  type: string
                  description: "The lora_weights parameter points to the file containing the learned LoRA weights. Add the PublicURL of the LoRA weights \nobtained from the Simplismart Training Suite.\n"
                  example: https://example.com/lora-weights
                lora_scale:
                  type: number
                  format: float
                  description: 'The lora_scale is set to 1, meaning the LoRA weights will have a full impact on adjusting the model.

                    '
                  example: 1.0
      responses:
        '200':
          description: Successfully generated images
          content:
            application/json:
              schema:
                type: object
                properties:
                  status:
                    type: string
                    description: Request status
                    example: success
                  data:
                    type: array
                    items:
                      type: string
                      description: URL of the generated image
                      example: https://example.com/generated_image.png
        '400':
          description: Bad request, invalid parameters
        '401':
          description: Unauthorized, invalid or missing authentication
        '500':
          description: Internal server error
      tags:
      - Model
components:
  securitySchemes:
    BearerAuth:
      type: http
      scheme: bearer
      bearerFormat: JWT
      description: JWT token for authentication