Face Editor Project Introduction
Overview
The Face Editor is a powerful extension designed for use with Stable Diffusion. This tool is particularly valuable for making adjustments to faces in generated images. Whether the goal is to fix problematic facial renderings, alter facial expressions, or apply effects like blurring, the Face Editor offers the functionality needed to accomplish these tasks effectively.
Installation and Setup
To start using the Face Editor, follow these simple installation steps using AUTOMATIC1111's Stable Diffusion Web UI:
- Navigate to the "Extensions" tab and select the "Install from URL" option.
- Enter the following GitHub repository URL:
https://github.com/ototadana/sd-face-editor.git. - Click "Install," and upon successful installation, restart the UI from the "Installed" tab.
If you're utilizing SD.Next, make sure to switch to the sd.next branch of the project for the best compatibility.
How to Use
Once installed, activating the Face Editor is straightforward:
- Go to the Face Editor section and ensure the "Enabled" option is checked.
- Enter the desired prompts and generate your image as usual. The Face Editor will automatically adjust the faces in the images according to your settings.
- If you're not satisfied with the initial outcome, you can tweak the parameters and regenerate the image for improved results.
Key Features and Tips
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Contour Discomfort: If the facial contours do not look quite right, especially if the face is not directly facing the camera, try increasing the "Mask size."
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Handling Multiple Faces: When dealing with multiple faces close together, using the "Use minimal area" option can help maintain each face's integrity.
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Expression Changes: Altering facial expressions is made simple with the "Prompt for face" feature, allowing you to specify the desired expressions.
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Existing Images: For enhancing existing photos, the Face Editor can work with images opened in the img2img tab using specific settings to ensure the best modifications.
Detailed Workflow
The Face Editor operates through a detailed workflow involving several steps:
- Face Detection: Detects faces on the image.
- Cropping and Resizing: Extracts the face and resizes it to 512x512 pixels.
- Recreating Faces: A new face image is generated.
- Pasting Faces: Resizes and pastes the new face onto the original image.
- Blending: Blending the new face seamlessly with the original image using inpainting.
Parameters and Customization
Users have a variety of options to customize their workflow, including:
- Mask Size and Blur
- Face Detection Confidence
- Face Margin and Resizing Options
Advanced users can leverage the Workflow Editor to create highly customized workflows by modifying JSON configuration files. This allows for specialized combination of components, such as Face Detectors, Face Processors, and Mask Generators, to finely tune the face editing process to meet specific requirements.
Settings and API
Several settings can enhance the utility of the Face Editor, such as enabling additional components, saving original images, and specifying tilt adjustments. For developers, an API is available to implement the Face Editor as an extension with customized arguments and parameters for a more integrated solution in larger projects.
The Face Editor is a robust tool that offers expansive options for enhancing and modifying facial features in digital art and AI-generated images, providing users the ability to correct, enhance, and customize facial elements with ease and precision.