Hugging Face · OpenAPI Overlay 1.0.0

API Evangelist conversational phrasing for Hugging Face Inference Providers Image Generation API

2 actions 2 updates phrasing extends openapi/hugging-face-image-generation-api-openapi.yml
Generated by API Evangelist Written by API Evangelist tooling for Hugging Face's API. It is a proposal applied on top of the contract, not a document Hugging Face publishes.
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What the actions change

x-apievangelist-phrasing

Targets 2

$.info
$.paths['/v1/images/generations'].post

OpenAPI Overlay

Raw ↑
# Generated by API Evangelist (build-phrasing.py). Our phrasing, not observed demand.
overlay: 1.0.0
info:
  title: API Evangelist conversational phrasing for Hugging Face Inference Providers Image Generation API
  version: 1.0.0
extends: openapi/hugging-face-image-generation-api-openapi.yml
actions:
- target: $.info
  update:
    x-apievangelist-phrasing:
      method: generated
      generated: '2026-10-01'
      generator: build-phrasing.py
      label: Generated by API Evangelist
      operations: 1
- target: $.paths['/v1/images/generations'].post
  update:
    x-apievangelist-phrasing:
      intent: Generate images from a text prompt
      effect: write
      questions:
      - Can I create images from a text description with a diffusion model through Hugging Face inference providers?
      - Can I request several images at once and choose their dimensions?
      - Is there a way to tell the model what to leave out of the picture?
      instructions:
      - text: Generate an image of {prompt} with model {model}.
        slots:
          prompt: requestBody.prompt
          model: requestBody.model
      - text: Create {n} images of {prompt} at size {size} using {model}.
        slots:
          n: requestBody.n
          prompt: requestBody.prompt
          size: requestBody.size
          model: requestBody.model
      - text: Render {prompt} with {model}, avoiding {negative_prompt}, in {num_inference_steps} steps.
        slots:
          prompt: requestBody.prompt
          model: requestBody.model
          negative_prompt: requestBody.negative_prompt
          num_inference_steps: requestBody.num_inference_steps
      method: generated
      generated: '2026-10-01'

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