Update README.md

README.md

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----
-license: mit
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+---
+license: mit
+---
+
+# Midjourney API
+
+**Model Page:** [Midjourney API](https://piapi.ai/midjourney-api)
+
+This model card illustartes the steps to use Midjourney API's endpoint.
+You can also check out other model cards:
+
+- [Faceswap API](https://huggingface.co/PiAPI/Faceswap-API)
+- [Suno API](https://huggingface.co/PiAPI/Suno-API)
+- [Dream Machine API](https://huggingface.co/PiAPI/Dream-Machine-API)
+
+**Model Information**
+
+Renowned for its exceptional text-to-image generative AI capabilities, Midjourney is a preferred tool among graphic designers, photographers, and creatives aiming to explore AI-driven artistry. Despite the absence of an official API from Midjourney, PiAPI has introduced the unofficial Midjourney API, empowering developers to incorporate this cutting-edge text-to-image model into their AI applications.
+
+
+
+## Usage Steps
+
+Below we share the code snippets on how to use Midjourney API's upscale endpoint.
+- The programming language is Python
+- The origin task ID should be the task ID of the fetched imagine endpoint
+
+**Create an upscale task ID**
+
+<pre><code class="language-python">
+  <span class="hljs-keyword">import</span> http.client
+  
+  conn = http.client.HTTPSConnection(<span class="hljs-string">"api.piapi.ai"</span>)
+  
+  payload = <span class="hljs-string">"{\n  \"origin_task_id\": \"9c6796dd*********1e7dfef5203b\",\n  \"index\": \"1\",\n  \"webhook_endpoint\": \"\",\n  \"webhook_secret\": \"\"\n}"</span>
+  
+  headers = {
+      <span class="hljs-built_in">'X-API-Key': "{{x-api-key}}"</span>,             //Insert your API Key here
+      <span class="hljs-built_in">'Content-Type': "application/json"</span>,
+      <span class="hljs-built_in">'Accept': "application/json"</span>
+  }
+  
+  conn.request("POST", "/mj/v2/upscale", payload, headers)
+  
+  res = conn.getresponse()
+  data = res.read()
+  
+  <span class="hljs-keyword">print</span>(data.decode("utf-8"))
+</code></pre>
+
+
+
+**Retrieve the task ID**
+
+<pre><code class="language-python">
+  {
+      <span class="hljs-built_in">"code"</span>: 200,
+      <span class="hljs-built_in">"data"</span>: {
+          <span class="hljs-built_in">"task_id"</span>: :3be7e0b0****************d1a725da0b1d"      //Record the taskID provided in your response terminal
+      },
+      <span class="hljs-built_in">"message"</span>: "success"
+  }
+</code></pre>
+
+
+
+**Insert the upscale task ID into the fetch endpoint**
+
+<pre><code class="language-python">
+  <span class="hljs-keyword">import</span> http.client
+  
+  conn = http.client.HTTPSConnection(<span class="hljs-string">"api.piapi.ai"</span>)
+  
+  payload = <span class="hljs-string">"{\n  \"task_id\": \"3be7e0b0****************d1a725da0b1d\"\n}"</span> /Replace the task ID with your task ID
+  
+  headers = {
+      <span class="hljs-built_in">'Content-Type': "application/json"</span>,
+      <span class="hljs-built_in">'Accept': "application/json"</span>
+  }
+  
+  conn.request("POST", "/mj/v2/fetch", payload, headers)
+  
+  res = conn.getresponse()
+  data = res.read()
+  
+  <span class="hljs-keyword">print</span>(data.decode("utf-8"))
+</code></pre>
+
+
+
+**For fetch endpoint responses** - Refer to our [documentation](https://piapi.ai/docs) for more detailed information.
+
+
+
+<br>
+
+
+
+## Contact us
+
+Contact us at <a href="mailto:contact@piapi.ai">contact@piapi.ai</a> for any inquires.
+
+<br>
+