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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">'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/dream-machine/get-video) for more detailed information.
<br>
## Contact us
Contact us at <a href="mailto:[email protected]">[email protected]</a> for any inquires.
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