Create Your Personal AI Model Using Just 2 Photos!

Create Your Personal AI Model Using Just 2 Photos!

Table of Contents

1. Introduction
2. The Facechain Project
3. Using Google Colab Notebook
4. Uploading Photos and Training the Model
5. Generating Images with Facechain
6. Upscaling the Images
7. Editing the Images with Canva and Adobe Firefly
8. Saving the Model for Stable Diffusion
9. Conclusion

Introduction

In this article, we will explore how to Create a professional portrait using just three of your own photos. The best part is that it is absolutely free and quite simple to do. With just a few clicks, you can create unique shots by drawing inspiration from poses in other photos. We will be utilizing the Facechain project, which has recently been published on GitHub, to achieve this. By following the steps outlined in this article, you will be able to create stunning portraits and even upscale your photos.

The Facechain Project

The Facechain project is a powerful tool that allows You to create professional portraits using machine learning. The code for the project has been made available on GitHub, making it accessible to anyone. To use Facechain, you will need to open the Google Colab Notebook, which is available for free on the creator's Patreon page. By subscribing to the page, you will also gain access to other notebooks with additional features and instruments.

Using Google Colab Notebook

Google Colab Notebook is a cloud-Based development environment that allows you to write and execute Python code. It provides the necessary computing power to train machine learning models and perform complex tasks. To begin, open the Google Colab Notebook via the provided link and ensure that your runtime is set to an Accelerator T4 GPU. Once you have set up the environment, you are ready to start creating your professional portrait.

Uploading Photos and Training the Model

The first step in creating your professional portrait is to upload your headshot photos to the Facechain interface. You can upload anywhere from three to ten photos to train the model. Once you have uploaded your photos, click on the "train" button to start the training process. This process usually takes around 20 minutes, and you can monitor the training progress in the command line.

Generating Images with Facechain

After the training process is complete, you can switch to the "Inference" tab within the Facechain interface. Here, you can choose a style for your portrait and specify a prompt. The prompt allows you to customize the output by adjusting parameters such as style and human characteristics. You can also experiment with different styles and Prompts to achieve the desired results. Once you have selected your desired options, click on the "generate" button to create your images.

Upscaling the Images

To enhance the quality of your generated images, you can use an image upscaler. One such tool is Clipdrop, which allows you to upscale your images by two times. Although the free version only supports 2X upscaling, it still significantly improves the quality of the images. Simply upload your image to the Clipdrop tool and choose the smooth mode for optimal results. Once you have upscaled your image, you can download it and move on to the next step.

Editing the Images with Canva and Adobe Firefly

To further enhance your images and make them ready for professional use, you can use Canva and Adobe Firefly. Canva is a free design tool that allows you to create compositions and customize the appearance of your photos. Open Canva and create a design with custom Dimensions. Choose the composition that best suits your photos and import your upscaled image. Next, open Adobe Firefly, a free image editing tool, and choose the negative fill option. Upload your image and use the outpainting feature to fix any artifacts or imperfections in the image. Once you are satisfied with the result, download the edited image.

Saving the Model for Stable Diffusion

Before wrapping up, it is important to save your trained Facechain model for future use. To do this, you can convert the model from .bin to .safetensors format using a simple cell in the Google Colab Notebook. Follow the provided instructions in the article to complete this process. Once the conversion is complete, you can access and experiment with the LoRA models in stable diffusion.

Conclusion

In conclusion, creating a professional portrait using Facechain is an exciting and accessible process. By following the steps outlined in this article, you can obtain high-quality, unique shots without the need for complex modeling techniques. From uploading and training the model to generating and upscaling images, every step is covered in Detail. Additionally, the use of Canva and Adobe Firefly allows you to further enhance and customize your images. So why wait? Start creating your professional portrait today!

Highlights

• Create professional portraits using just three photos
• Utilize the Facechain project and Google Colab Notebook
• Train the model and generate unique shots
• Enhance image quality with upscaling techniques
• Edit images using Canva and Adobe Firefly
• Save the model for future use in stable diffusion

FAQ

Q: Can Facechain be used with any Type of photos? A: Facechain works best with headshot photos, but you can experiment with other types as well.

Q: Is Facechain completely free to use? A: Yes, Facechain is an open-source project and can be used without any cost.

Q: Can I use Facechain on my own computer or device? A: Facechain is designed to be used on Google Colab Notebook, which provides the necessary computing power for training the model.

Q: Can I make adjustments to the generated images? A: Yes, you can make adjustments to the images using tools like Canva and Adobe Firefly to achieve the desired results.

Q: Are the trained models compatible with other generative models? A: Yes, the trained models can be converted and used with other generative models like stable diffusion, allowing for further experimentation and customization.