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| license: mit |
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| # Midjourney API |
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| **Model Page:** [Midjourney API](https://piapi.ai/midjourney-api) |
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| 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) |
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| **Model Information** |
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| 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. |
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| ## Usage Steps |
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| 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 |
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| **Create an upscale task ID** |
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| <pre><code class="language-python"> |
| <span class="hljs-keyword">import</span> http.client |
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| conn = http.client.HTTPSConnection(<span class="hljs-string">"api.piapi.ai"</span>) |
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| 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> |
| } |
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| conn.request("POST", "/mj/v2/upscale", payload, headers) |
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| res = conn.getresponse() |
| data = res.read() |
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| <span class="hljs-keyword">print</span>(data.decode("utf-8")) |
| </code></pre> |
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| **Retrieve the task ID** |
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| <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> |
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| **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>) |
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| payload = <span class="hljs-string">"{\n \"task_id\": \"3be7e0b0****************d1a725da0b1d\"\n}"</span> /Replace the task ID with your task ID |
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| headers = { |
| <span class="hljs-built_in">'Content-Type': "application/json"</span>, |
| <span class="hljs-built_in">'Accept': "application/json"</span> |
| } |
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| conn.request("POST", "/mj/v2/fetch", payload, headers) |
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| res = conn.getresponse() |
| data = res.read() |
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| <span class="hljs-keyword">print</span>(data.decode("utf-8")) |
| </code></pre> |
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| **For fetch endpoint responses** - Refer to our [documentation](https://piapi.ai/docs/midjourney-api/upscale) for more detailed information. |
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| <br> |
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| ## Contact us |
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| Contact us at <a href="mailto:contact@piapi.ai">contact@piapi.ai</a> for any inquires. |
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| <br> |
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