ComfyUI Node: ReActor 🌌 Face Booster

ReActor 🌌 Face Booster:

ReActorFaceBoost is a powerful node designed to enhance and restore facial features in images, providing a significant boost in quality and detail. This node leverages advanced face restoration models to upscale and refine facial details, making it ideal for applications where high-quality facial representation is crucial. Whether you are working on artistic projects, photo restoration, or any other task requiring detailed facial enhancements, ReActorFaceBoost ensures that the faces in your images are rendered with exceptional clarity and precision. The node supports various interpolation methods and face restoration models, allowing you to customize the enhancement process to suit your specific needs. By intelligently scaling and processing the facial regions, ReActorFaceBoost helps you achieve professional-grade results effortlessly.

ReActor 🌌 Face Booster Input Parameters:

face_restore_model

This parameter specifies the model used for face restoration. Different models can provide varying levels of detail and quality, and the choice of model can significantly impact the final output. Common models include "codeformer" and other PTH or ONNX models. The model name should be provided as a string, and it determines the face size and processing method.

face_restore_visibility

This parameter controls the visibility of the restored face in the final output. It is a float value between 0 and 1, where 0 means no restoration is applied, and 1 means full restoration. Adjusting this parameter allows you to blend the original and restored faces to achieve the desired level of enhancement.

codeformer_weight

This parameter is used when the "codeformer" model is selected. It adjusts the weight of the CodeFormer model during the restoration process. The weight influences the balance between the original and restored features, allowing for fine-tuning of the enhancement effect.

interpolation

This parameter defines the interpolation method used for resizing the face. Options include "Bicubic", "Bilinear", "Nearest", and "Lanczos". Each method has its characteristics, with "Bicubic" generally providing a good balance between antialiasing and detail preservation. The choice of interpolation can affect the smoothness and sharpness of the restored face.

ReActor 🌌 Face Booster Output Parameters:

restored_face

The restored_face parameter is the primary output of the node, providing the enhanced and restored facial image. This output is a high-quality, detailed representation of the face, processed according to the specified model and parameters. It is returned as an image array, ready for further use or integration into your projects.

scale

The scale parameter indicates the scaling factor applied to the face during the restoration process. It is a float value that represents the ratio between the original and restored face sizes. This information can be useful for understanding the degree of upscaling and for maintaining consistency in subsequent processing steps.

ReActor 🌌 Face Booster Usage Tips:

• Experiment with different face_restore_model options to find the one that best suits your project's needs.
• Adjust the face_restore_visibility parameter to blend the original and restored faces for a more natural look.
• Use "Bicubic" interpolation for a good balance between detail preservation and smoothness.
• Fine-tune the codeformer_weight when using the CodeFormer model to achieve the desired enhancement effect.

ReActor 🌌 Face Booster Common Errors and Solutions:

Failed inference: <error_message>

• Explanation: This error occurs when the model fails to process the input face, possibly due to an incompatible model or incorrect parameters.
• Solution: Ensure that the face_restore_model is correctly specified and compatible with the input face. Check the model path and parameters for any discrepancies.

Model loading error: <error_message>

• Explanation: This error indicates an issue with loading the specified face restoration model, which could be due to a missing or corrupted model file.
• Solution: Verify that the model file exists at the specified path and is not corrupted. Re-download or re-install the model if necessary.

Invalid interpolation method: <error_message>

• Explanation: This error occurs when an unsupported interpolation method is specified.
• Solution: Ensure that the interpolation parameter is set to one of the supported methods: "Bicubic", "Bilinear", "Nearest", or "Lanczos".

Device allocation error: <error_message>

• Explanation: This error indicates a problem with allocating the model to the processing device, which could be due to insufficient resources or an incompatible device.
• Solution: Check the available resources on your device and ensure that it is compatible with the specified model. Free up resources or switch to a different device if necessary.