MyMood AI API

Title: Finetuning Your AI Model with MyMoodAI: A cURL and REST API Guide

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1. Introduction

• Why Fine-Tuning Matters: Briefly explain what fine-tuning is and why it’s crucial for personalized AI image generation.
• Overview of the MyMoodAI Workflow: Summarize the steps (creating a model, uploading training images, running training, and generating new images).

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2. Getting Started

• Prerequisites:
  • Having curl installed.
  • Acquiring an API key from MyMoodAI.
  • Understanding basic REST concepts (JSON, HTTP methods).
• Base URL and Authentication:
  • Mention https://api.mymoodai.app/rest/api.
  • Show how to set Authorization: Bearer YOUR_API_KEY header in cURL commands.

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3. Creating a Model (Training Order)

• Endpoint Overview: POST /order/create/model.
• Sample cURL Command: curl -X POST \ -H "Content-Type: application/json" \ -H "Authorization: Bearer YOUR_API_KEY" \ -d '{ "styles": [112, 5, 2572, 1421, 2214, 947, 2570, 94, 356, 43], "gender": 1 }' \ https://api.mymoodai.app/rest/api/order/create/model
• Response Explanation:
  • JSON object with id, styles, gender, and status.

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4. Uploading Training Images

• Why Multiple Images?: Discuss benefits of uploading multiple selfies for better model quality.
• Endpoint Overview: POST /order/{order_id}/training-images/upload
• Sample cURL Command (converting an image to Base64 before uploading): base64 selfie.jpg > selfie.txt # Then use the content of selfie.txt in the JSON payload curl -X POST \ -H "Content-Type: application/json" \ -H "Authorization: Bearer YOUR_API_KEY" \ -d '{ "gender": "1", "image": "data:image/jpeg;base64,<BASE64_CONTENT_FROM_SELFIE_TXT>" }' \ https://api.mymoodai.app/rest/api/order/12345/training-images/upload
• Response Explanation:
  • JSON object indicating the uploaded image’s ID and URL.

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5. Running the Training

• Endpoint Overview: GET /order/{order_id}/run
• Sample cURL Command: curl -X GET \ -H "Authorization: Bearer YOUR_API_KEY" \ https://api.mymoodai.app/rest/api/order/12345/run
• Response Explanation:
  • The order’s updated status (e.g., STARTED, IN_PROGRESS).

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6. Checking Training Status

• Why Poll the Status?: Some training processes can take several minutes.
• Endpoint Overview: GET /order/{order_id}/status
• Sample cURL Command: curl -X GET \ -H "Authorization: Bearer YOUR_API_KEY" \ https://api.mymoodai.app/rest/api/order/12345/status
• Response Explanation:
  • JSON with status (e.g., DONE) and additional info.

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7. Generating Images from the Trained Model

• Endpoint Overview: POST /order/create
  • Use the model ID as the parent to generate images with the newly trained model.
• Sample cURL Command: curl -X POST \ -H "Content-Type: application/json" \ -H "Authorization: Bearer YOUR_API_KEY" \ -d '{ "styles": [112, 5], "gender": 1, "parent": 12345 }' \ https://api.mymoodai.app/rest/api/order/create
• Response Explanation:
  • JSON object with the new order’s id (used to track generation status).

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8. Conclusion and Next Steps

• Review: Summarize the workflow: create model → upload images → run training → generate images.
• Additional Resources:
  • Linking to official docs for advanced usage (e.g., listing styles, retrieving generated avatars).
  • Suggesting best practices for uploading multiple, high-quality selfies.

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Happy Fine-Tuning with MyMoodAI!

Get started with our API today!