Fix Faces with ADetailer in Stable Diffusion Automatic1111

FoxtonAI
12 Jul 202405:57

TLDRThis tutorial video guides viewers on enhancing facial features in AI-generated images using the Stable Diffusion ADetailer extension in Automatic 1111. The presenter demonstrates how to generate an image without ADetailer first, then applies it with various face models, focusing on the YOLO 8S model for better results. They discuss the use of positive and negative prompts for facial detail, and conclude with an image upscale to improve sharpness and clarity, offering resources for further enhancement.

Takeaways

  • 😀 The video provides a tutorial on enhancing faces in AI-generated images using the ADetailer extension in Stable Diffusion Automatic1111.
  • 🔧 Ensure that ADetailer and the best face models are installed before starting the process.
  • 🖼️ Generate a base image without ADetailer to compare the improvements made by the extension.
  • 📈 Use the 'absolute reality SD 1.5' checkpoint for better facial details in the initial image generation.
  • 🔍 Observe common AI-generated facial distortions and lack of clarity, especially when the face is distant from the camera.
  • 🎭 Utilize the ADetailer section in Automatic1111 to enhance the facial features of the generated image.
  • 🤖 Prefer the YOLO models for better results in ADetailer, with the 'YOLO 8S' model being highlighted as a preferred choice.
  • 📝 Add specific positive and negative prompts in the ADetailer text boxes to refine the facial details.
  • 🔄 Keep other ADetailer settings at default to evaluate the initial impact of the enabled extension.
  • 📈 Perform an upscale to improve the overall sharpness and clarity of the final image using the '4 times NMKD super scale' upscaler.
  • 📚 The Open Model Database is recommended for sourcing upscalers and other models for the Stable Diffusion Web UI.

Q & A

  • What is the purpose of the video?

    -The purpose of the video is to guide viewers through the process of fixing and improving faces in images using the Stable Diffusion ADetailer extension in Automatic1111.

  • What are the prerequisites to follow the tutorial?

    -To follow the tutorial, viewers need to have ADetailer and the best face models installed. If not, they should refer to the ADetailer installation video provided by the presenter.

  • Which software does the presenter use for the demonstration?

    -The presenter uses Automatic1111, a standard local install, on a Windows 11 PC for the demonstration.

  • What is the first step in generating an image without ADetailer?

    -The first step is to open Automatic1111, select the text to image tab, and use a base image to populate the text to image fields with image parameters.

  • Why is the absolute reality SD 1.5 checkpoint selected?

    -The absolute reality SD 1.5 checkpoint is selected because it is known to produce good results, and the presenter wants to generate the same image with and without ADetailer for comparison.

  • What issues are typically seen in the generated face image without ADetailer?

    -Without ADetailer, the face image typically shows distortions and a lack of clarity, especially when the face is at a distance from the camera.

  • How does the presenter enable ADetailer in Automatic1111?

    -The presenter enables ADetailer in Automatic1111 by ticking the ADetailer checkbox and adjusting the settings in the ADetailer section.

  • Which face model does the presenter prefer and why?

    -The presenter prefers the YOLO 8S model because it provides better overall results in the comparison grid showing different YOLO face models.

  • What positive and negative prompts are used for the face in ADetailer?

    -For the positive prompt, 'photo realistic extremely detailed face' is used, and for the negative prompt, 'easy negative deformed face deformed eyes' is used.

  • How does the presenter improve the sharpness and clarity of the final image?

    -The presenter improves the sharpness and clarity by upscaling the final image using the 'four times NM KD super scale' upscaler in the extras tab of Automatic1111.

  • What resource does the presenter recommend for upscalers?

    -The presenter recommends the Open Model Database as the best resource for upscalers, where viewers can find and download the appropriate .pth files for their needs.

Outlines

00:00

🖼️ Fixing and Enhancing Faces with Stable Diffusion

The video tutorial begins by introducing the process of improving facial features in AI-generated images using the Stable Diffusion and AD Detailer extension. The presenter ensures that the audience has the necessary tools installed, referencing an installation guide video. The demonstration is conducted on a Windows 11 PC using a local installation of Automatic 1111. The presenter generates a base image without the detailer to establish a starting point. They then utilize the AD Detailer extension with the YOLO face model for enhancement, focusing on improving the clarity and realism of the facial features. Positive and negative prompts are strategically used to guide the AI in generating a more detailed and realistic face. The presenter also mentions the use of the 'Easy negative' prompt embedding for better results and provides a link to it in the description. The video concludes with a demonstration of upscaling the image to enhance sharpness and clarity, using the NMKD Super Scale upscaler, and directs viewers to the Open Model Database for additional resources.

05:01

🔍 Comparing Results and Final Touches

In the second paragraph, the presenter compares the original base image with the final output after applying the AD Detailer extension and upscaling. The comparison clearly shows a significant improvement in the sharpness and clarity of the final image. The tutorial emphasizes the importance of experimenting with various settings within the AD Detailer to achieve the best results. The presenter also provides a link to the NMKD Super Scale upscaler in the description for viewers who wish to explore further. The video ends with a recap of the steps and a prompt to engage with the content, encouraging viewers to apply the techniques discussed and look forward to the next video.

Mindmap

Keywords

💡Stable Diffusion

Stable Diffusion is an AI model used for generating images from textual descriptions. It is a type of deep learning model that employs diffusion processes to create images. In the context of the video, Stable Diffusion is used as the base for generating images, and the tutorial focuses on enhancing the quality of these images, particularly faces, using additional tools and extensions.

💡AD Detailer

AD Detailer is an extension for enhancing the details of certain aspects of images generated by AI, such as faces. The video script mentions using AD Detailer to fix and improve the quality of faces in images produced by Stable Diffusion. It allows for more realistic and detailed rendering of facial features, which is crucial for achieving higher quality results in image generation.

💡Automatic1111

Automatic1111 refers to a specific version or variant of the Automatic1110 software, which is used for image generation with AI models like Stable Diffusion. The script describes using Automatic1111 to generate images and then refine them using the AD Detailer extension, indicating that it is a user interface or platform that integrates with AI models for image creation.

💡YOLO

YOLO (You Only Look Once) is an acronym for a family of convolutional neural network models that are used for object detection in images. In the video, YOLO models are mentioned as one of the options for face detection and enhancement within the AD Detailer extension. The script compares different YOLO models to determine which provides the best result for the face detail enhancement.

💡Face Model

A face model in the context of the video refers to a specific type of AI model designed to recognize and generate human faces. The script discusses using different face models within the AD Detailer extension to improve the quality of faces in the generated images. The choice of face model can significantly affect the realism and detail of the final image.

💡Text to Image

Text to Image is a process where AI generates images based on textual descriptions. The video script describes using the 'Text to Image' tab in Automatic1111 to input a description and generate an image. This is the initial step before using AD Detailer to enhance the image, particularly the faces within it.

💡Embeddings

Embeddings in AI refer to a learned numerical representation of words or phrases that captures their semantic meaning. In the video, embeddings are used as part of the AD Detailer process to improve the quality of the generated faces. The script mentions using 'Easy negative' as a negative prompt embedding to avoid certain undesired features in the generated images.

💡Upscale

Upscale in the context of image processing refers to increasing the resolution or quality of an image. The script describes using an 'upscale' feature in Automatic1111 to improve the sharpness and clarity of the final image after the faces have been enhanced by AD Detailer. This step is crucial for achieving a polished and high-quality final product.

💡Checkpoint

A checkpoint in AI model training refers to a saved state of the model at a particular point in time. The video mentions using the 'absolute reality SD 1.5 checkpoint' when generating images with Stable Diffusion. This checkpoint is a specific configuration of the model that has been trained to produce images of a certain style or quality.

💡Prompt

In the context of AI image generation, a prompt is a textual description that guides the AI in creating an image. The video script discusses entering specific prompts related to facial features into the AD Detailer to guide the enhancement process. Positive prompts like 'photo realistic extremely detailed face' and negative prompts like 'deformed face' are used to refine the image generation process.

Highlights

Introduction to fixing and improving faces using the Stable Diffusion ADetailer extension.

Prerequisite: Ensure ADetailer and the best face models are installed.

Link to ADetailer install video provided for viewers.

Demonstration on a Windows 11 PC using a local install of Automatic 1111.

Generating a base image without ADetailer to establish a starting point.

Using the 'absolute reality SD 1.5' checkpoint for image generation.

Observing typical AI-generated facial distortions and lack of clarity.

Enabling ADetailer in Automatic 1111 to fix the face in the generated image.

Comparing different YOLO face models for better results.

Selecting the YOLO 8S model for face enhancement.

Adding positive and negative prompts specific to the face for ADetailer.

Using 'photo realistic extremely detailed face' as a positive prompt.

Utilizing 'easy negative deformed face deformed eyes' as a negative prompt.

Leaving other ADetailer settings at default for initial testing.

Generating an improved image with ADetailer showing significant facial enhancements.

Discussing additional ADetailer settings for further image improvement.

Upscaling the final image to improve sharpness and clarity.

Using '4 times NM KD super scale' as the upscaler for better skin texture retention.

Recommending the Open Model Database for the best UPS scalers.

Final comparison showcasing the improvement from the original to the final image.

Encouragement for viewers to experiment with ADetailer settings for personal projects.

Casual Browsing

Better Faces and hands with adetailer | stable diffusion | automatic1111

2024-09-08 05:53:00

How to Fix Faces, Hands, Body, Eyes and Background with ADetailer Extension in Stable Diffusion

2024-09-08 04:36:00

Install ADetailer in Stable Diffusion Automatic1111

2024-09-08 06:31:00

Consistent Faces in Stable Diffusion

2024-04-02 05:50:01

Improve Faces, Hands, and Poses with ADetailer! 💥

2024-09-08 07:11:00