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README.md
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- diffusers
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inference: true
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pipeline_tag: text-to-image
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---
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- diffusers
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inference: true
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pipeline_tag: text-to-image
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---
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# Inference API Documentation
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## Overview
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The Inference API allows you to make inference requests to perform image processing tasks using a remote service. This API supports various operations and requires specific input parameters.
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## Base URL
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The base URL for the Inference API is: `<hf_endpoint_url>`
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## Authentication
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The Inference API requires authentication using a bearer token. Include the token in the `Authorization` header of your requests.
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## Request Format
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Send a POST request to the endpoint URL with the following JSON payload:
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```json
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{
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"inputs": "<positive_prompt>",
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"negative_prompt": "<negative_prompt>",
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"height": <height>,
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"width": <width>,
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"guidance_scale": <guidance_scale>
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}
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```
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## Request Parameters
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| Parameter | Type | Required | Description |
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|-------------------|----------|----------|----------------------------------------------------|
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| inputs | string | Yes | The positive prompt for the inference. |
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| negative_prompt | string | No | The negative prompt for the inference (optional). |
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| height | integer | Yes | The height of the image. |
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| width | integer | Yes | The width of the image. |
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| guidance_scale | float | Yes | The guidance scale for the inference. |
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## Response Format
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The API response will be a JSON object with the following structure:
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```json
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{
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"image": "<base64_encoded_image>"
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}
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```
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## Response Format
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The API response will be a JSON object with the following structure:
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| Field | Type | Description |
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|--------|--------|------------------------------------------------|
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| image | string | The base64-encoded image generated by the API. |
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## Example Request
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### Here's an example request using Python:
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```python
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import requests
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url = '<hf_endpoint_url>'
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token = '<hf_token>'
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requestData = {
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'inputs': 'Positve prompt',
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'negative_prompt': 'Negative prompt goes here',
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'height': 512,
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'width': 512,
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'guidance_scale': 7.5
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}
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headers = {
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'Authorization': 'Bearer ' + token,
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'Content-Type': 'application/json'
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}
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response = requests.post(url, json=requestData, headers=headers)
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print(response.json())
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```
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### Here's an example request using JavaScript:
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```js
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const endpointURL = '<hf_endpoint_url>';
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const hfToken = '<hf_token>';
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const requestData = {
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s: 'Positve prompt',
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negative_prompt: 'Negative prompt goes here',
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height: 512,
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width: 512,
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guidance_scale: 7.5
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};
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const headers = {
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'Authorization': `Bearer ${hfToken}`,
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'Content-Type': 'application/json'
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};
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fetch(endpointURL, {
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method: 'POST',
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body: JSON.stringify(requestData),
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headers: headers
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})
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.then(response => response.json())
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.then(data => console.log(data))
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.catch(error => console.error(error));
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```
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