Update README.md

README.md

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-license: mit
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+---
+license: mit
+---
+
+# Dream Machine API
+
+**Model Page:** [Dream Machine API](https://piapi.ai/dream-machine-api)
+
+This model card illustartes the steps to use Dream Machine API endpoint.
+You can also check out other model cards:
+
+- [Midjourney API](https://huggingface.co/PiAPI/Midjourney-API)
+- [Faceswap API](https://huggingface.co/PiAPI/Faceswap-API)
+- [Suno API](https://huggingface.co/PiAPI/Suno-API)
+
+**Model Information**
+
+Dream Machine, created by Luma Labs, is an advanced AI model that swiftly produces high-quality, realistic videos from text and images. These videos boast physical accuracy, consistent characters, and naturally impactful shots. Although Luma Lab doesn’t currently provide a Dream Machine API within their Luma API suite, PiAPI has stepped up to develop the unofficial Dream Machine API. This enables developers globally to integrate cutting-edge text-to-video and image-to-video generation into their applications or platforms.
+
+## Usage Steps
+
+Below we share the code snippets on how to use Dream Machine API's Video Generation endpoint. 
+- The programming language is Python
+
+**Create a task ID from the Video Generation 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  \"prompt\": \"dog running\",\n  \"expand_prompt\": true\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", "/api/luma/v1/video", 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>: "6c4*****************aaaa"    //Record the taskID provided in your response terminal
+      },
+      <span class="hljs-built_in">"message"</span>: "success"
+  }
+</code></pre>
+
+
+
+**Insert the Video Generation 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>)
+  
+  
+  headers = {
+      <span class="hljs-built_in">{ 'Accept': "application/json" }</span>,
+  }
+  
+  conn.request("GET", "/api/luma/v1/video/task_id", headers=headers)      //Replace the "task_id" with your task ID
+  
+  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:[email protected]">[email protected]</a> for any inquires.
+
+<br>
+
+
+
+