How to Fix Faces, Hands, Body, Eyes and Background with ADetailer Extension in Stable Diffusion
TLDRIn this tutorial, Caocao2025 demonstrates how to use the ADetailer extension for Stable Diffusion's web UI to enhance image details such as faces, hands, eyes, and backgrounds. The video guides viewers through installing the extension, setting up detection and inpainting processes, and adjusting parameters like confidence levels and mask ratios. Examples of detecting and modifying facial expressions, changing hand appearances, and inverting masks for background details are provided, showcasing the extension's versatility in image editing.
Takeaways
- 😀 ADetailer is an extension for the Stable Diffusion web UI that automates masking and inpainting for various image elements.
- 🔧 To use ADetailer, you need to have either Automatic1111 or Forge installed, with installation instructions provided in the description.
- 📱 Access the SD web UI, go to the extension tab, and load ADetailer from the list of available extensions.
- ⚙️ After installing ADetailer, configure its settings to determine the number of detailers working at once and set the bounding box direction.
- 🎭 ADetailer detects and masks areas like face, hands, eyes, or body, then applies inpainting based on the specified prompts.
- 👤 You can use various models for detection, including YOLO V8X World V2, and special models for detecting individual eyes.
- 📝 Prompts can be customized for different areas; if left empty, ADetailer will use the main prompt for inpainting.
- 🔍 The confidence level for detection can be adjusted, with a default setting of 0.3.
- 🖼️ The Mask Min Max Ratio controls the area of the image that is subject to inpainting, allowing for fine-tuning of the process.
- 📏 The 'Mask only the top K largest' option lets you specify how many largest objects to mask, based on their area.
- 🖌️ Mask operations like erosion, dilation, and merging can be used to refine the detected masks before inpainting.
- 🎨 Examples of ADetailer's capabilities include changing hand appearance, using inversion for backgrounds, and altering eye color.
Q & A
What is ADetailer and what does it do?
-ADetailer is an extension for the stable diffusion web UI that performs automatic masking and inpainting. It is used to enhance specific areas of an image such as faces, hands, full body, eyes, and background.
How can you install ADetailer for stable diffusion?
-To install ADetailer, you first need to have either automatic1111 or forge. Then, access the SD web UI, go to the extension tab, click available, and load from the list. Search for ADetailer, click install, and wait for the installation to complete.
What are the settings that should be configured before using ADetailer?
-Before using ADetailer, you should set the number of ADetailer instances that can work at once, configure the bounding box settings, and apply the settings to reload the UI.
How does ADetailer detect and process different areas of an image?
-ADetailer first detects the area you want to enhance, such as the face, hand, or eyes, and applies a mask to it. Then, it uses inpainting with a specific prompt to refine that area.
Can you use different models with ADetailer for detection?
-Yes, you can use various models with ADetailer for detection, including YOLO V8X World V2, and there are also special models available for detecting eyes individually.
What is the purpose of the prompt in ADetailer?
-The prompt in ADetailer is used to guide the inpainting process for the detected area. If left empty, ADetailer will use the same prompt as the main prompt.
What is the default Confidence level for detection in ADetailer and can it be adjusted?
-The default Confidence level for detection in ADetailer is 0.3, but it can be adjusted to your preference.
What do the Mask Min Max Ratio settings control in ADetailer?
-The Mask Min Max Ratio settings in ADetailer control the size of the area that will be inpainted, allowing you to specify the minimum and maximum area ratios for the mask.
What does 'Mask only the top K largest' mean in ADetailer settings?
-The 'Mask only the top K largest' setting in ADetailer determines how many of the largest detected objects will be masked, starting from the largest and counting down.
How can you modify the mask in ADetailer using erosion or dilation?
-In ADetailer, you can modify the mask by setting an offset, which allows you to perform erosion or dilation to enlarge or reduce the detected mask area.
What are the different mask merge options available in ADetailer and how do they work?
-ADetailer offers several mask merge options: none (inpaints each mask individually), merge (combines all masks and then inpaints), and merge and invert (combines all masks, inverts them, and then inpaints the inverted mask).
Can ADetailer be used for image-to-image and inpainting tasks?
-Yes, ADetailer can be used for image-to-image and inpainting tasks, following the same process as described for other types of inpainting.
Outlines
🎨 'Auto Detailer' Tutorial for Image Enhancement
The script introduces 'ADetailer,' an extension for the stable diffusion web UI, designed to perform automatic masking and inpainting. It is likened to 'detection detailer' and requires either 'automatic1111' or 'forge' to be installed, with installation instructions provided in the video description. The tutorial walks through accessing the SD web UI, loading the ADetailer extension, and navigating its settings. It explains how to set up multiple ADetailer instances to work sequentially and configure the bounding box for clear identification of the tool's operation. The script demonstrates how ADetailer detects and masks specific areas such as the face, hands, and eyes, then applies inpainting using custom prompts. It also covers the use of different models for detection, adjusting confidence levels, and manipulating mask properties like area ratios, top K largest objects, and mask erosion or dilation. The tutorial concludes with examples of changing hand appearance and using inversion for background masking.
👕 'ADetailer' Application in Image Editing
This paragraph showcases the practical applications of ADetailer for image editing, including changing the uniform, eye color, and adding 'Lora' to images. It also mentions the tool's capability for image-to-image inpainting, which is not elaborated upon as it is similar to other processes covered in the tutorial. The script ends with a call to action for viewers to like, share, comment, and subscribe, encouraging engagement and anticipation for future episodes.
Mindmap
Keywords
💡Auto Detailer
💡Stable Diffusion
💡Masking
💡Inpainting
💡Extension
💡Bounding Box
💡Confidence
💡Mask Min Max Ratio
💡Mask Erosion/Dilation
💡Invert Mask
💡Image to Image
Highlights
Learn how to use Auto Detailer for face, hand, full body, eyes, and background in Stable Diffusion.
ADetailer is an extension for stable diffusion web UI that automates masking and inpainting.
Before using ADetailer, ensure you have automatic1111 or forge installed.
Access the SD web UI and load the ADetailer extension from the available list.
After installation, a new ADetailer menu will appear in the UI.
Configure ADetailer settings to run up to three detailers sequentially.
Set the bounding box direction to left to right for clarity.
ADetailer detects and masks specified areas like face, hand, eyes, or body.
Inpainting is applied to the masked areas using the specified prompts.
Use various models for detection, including YOLO V8X World V2.
Adjust the Confidence level of detection to improve accuracy.
Set the Mask Min Max Ratio to control the area of inpainting.
Use the 'Mask only the top K largest' option to focus on significant objects.
Apply mask erosion or dilation to refine the detected mask.
Choose between mask merge options to control the inpainting process.
Invert mask is effective for background masking.
Explore various inpainting settings for different effects.
ADetailer can be used for image-to-image and inpainting tasks.
Watch the video for more examples and detailed instructions.