Fix Faces with ADetailer in Stable Diffusion Automatic1111
TLDRThis tutorial video demonstrates how to enhance and fix facial features in AI-generated images using the Stable Diffusion ADetailer extension in Automatic1111. The presenter guides viewers through generating a base image, applying ADetailer with YOLO face models, and refining prompts for detailed facial features. The video concludes with an image upscale to improve sharpness and clarity, showcasing a significant visual improvement over the original.
Takeaways
- 🖼️ The video tutorial focuses on enhancing faces in AI-generated images using the Stable Diffusion ADetailer extension.
- 🔧 Viewers are instructed to have ADetailer and the best face models installed for optimal results.
- 💻 The demonstration is conducted on a Windows 11 PC using a local install of Automatic 1111.
- 📝 A base image is generated without ADetailer to establish a comparison for the improvement process.
- 📸 The tutorial highlights common AI-generated face distortions, such as lack of clarity when the face is distant from the camera.
- 🔄 ADetailer is enabled in Automatic 1111, and settings are adjusted to refine the facial features of the generated image.
- 📈 The use of YOLO face models within ADetailer is discussed, with a preference for the YOLO 8S model demonstrated.
- 📑 Positive and negative prompt boxes are utilized to guide the facial detail enhancement process.
- 🔍 The tutorial suggests using specific prompts like 'photo realistic extremely detailed face' for better results.
- 🖌️ After generating the image with ADetailer, the video suggests upscaling to improve sharpness and clarity.
- 🌐 Links to resources such as the Open Model Database and specific upscalers are provided for further enhancement tools.
Q & A
What is the main focus of the video?
-The main focus of the video is to demonstrate how to fix and improve faces using the Stable Diffusion ADetailer extension in Automatic1111.
What are the prerequisites for following the tutorial?
-To follow the tutorial, you need to have ADetailer and the best face models installed. If not, the video suggests watching an ADetailer installation video linked in the description.
Which operating system and software version is used in the video?
-The video uses a Windows 11 PC with a standard local install of Automatic1111.
What is the first step in generating an image without using ADetailer?
-The first step is to open Automatic1111, go to the text to image tab, and use a previously generated image as a base by dragging it into the text prompt box.
What checkpoint is used in the video for image generation?
-The video uses the 'absolute reality SD 1.5' checkpoint for image generation.
What are the typical issues with AI-generated faces at a distance?
-Typical issues include distortions and a lack of clarity in the face when it is at a distance from the camera.
How does the video suggest improving the face in the generated image?
-The video suggests using ADetailer with the YOLO models, specifically the YOLO 8S model, to improve the face in the generated image.
What positive and negative prompts are recommended for the face in ADetailer?
-For positive prompts, 'photo realistic extremely detailed face' is recommended, and for negative prompts, 'easy negative deformed face deformed eyes' is suggested.
What additional setting is adjusted to improve the final image's sharpness and clarity?
-The video suggests doing a quick upscale using the '4 times NM KD super scale' as the upscaler to improve the sharpness and clarity of the final image.
Where can one find the best resource for upscalers?
-The Open Model Database is mentioned as the best resource for upscalers.
What is the final result of using ADetailer and upscaling in the video?
-The final result is a significant improvement in the face's detail and the overall sharpness and clarity of the image compared to the original base image.
Outlines
🖼️ Fixing and Improving Faces with Stable Diffusion
The video tutorial begins by introducing the process of enhancing facial features in AI-generated images using the Stable Diffusion and Detailer extension. The presenter instructs viewers to ensure they have the necessary software installed, specifically mentioning 'Ad Detailer' and the 'Best Face Models'. A link to an installation guide is promised in the video description. The tutorial continues on a Windows 11 PC, using a local installation of 'Automatic 1111'. The presenter demonstrates generating a base image without Detailer to establish a starting point. They then guide viewers through the process of generating an image with facial enhancements using the Detailer extension, selecting the 'Face YOLO 8s' model for better results. The tutorial also covers the use of positive and negative prompts to refine the facial details, and concludes with a suggestion to upscale the image for improved sharpness and clarity, recommending the '4x NMKD Super Scale' upscaler from the Open Model Database.
📈 Comparing Results and Final Touches
In the second paragraph, the video script describes the comparison between the original base image and the final image after applying the facial enhancements and upscaling. The presenter highlights the significant improvement in sharpness and clarity of the final image. They also provide a direct comparison between the original and the final result, emphasizing the effectiveness of the techniques used. The video concludes with a prompt for viewers to explore additional settings within the Detailer extension to further refine their results. The presenter expresses hope that the tutorial was helpful and teases the next video, inviting viewers to join them for more content.
Mindmap
Keywords
💡Stable Diffusion
💡ADetailer
💡Automatic1111
💡YOLO
💡Face Model
💡Text Prompt
💡Positive Prompt
💡Negative Prompt
💡Upscale
💡ESRGAN
Highlights
Introduction to using Stable Diffusion with ADetailer extension to enhance faces in images.
Necessity of having ADetailer and the best face models installed for the process.
Link to ADetailer installation video provided for viewers.
Demonstration on a Windows 11 PC using a local install of Automatic 1111.
Generating a base image without ADetailer to compare improvements.
Using the 'absolute reality SD 1.5' checkpoint for image generation.
Observation of typical AI-generated facial distortions and lack of clarity.
Enabling ADetailer in Automatic 1111 to fix the face in the generated image.
Preference for YOLO models in ADetailer for better facial detail.
Comparison of different YOLO face models and selection of the 8S model.
Adding specific face-related prompts to the ADetailer prompt boxes for better results.
Use of 'photo realistic extremely detailed face' as a positive prompt.
Utilization of 'easy negative' prompt embedding to avoid common AI facial issues.
Leaving other ADetailer settings at default to evaluate base performance.
Significant improvement in facial detail observed after ADetailer application.
Exploration of additional ADetailer settings for further image enhancement.
Upscaling the final image to improve sharpness and clarity using NMKD super scaler.
Recommendation of Open Model Database for accessing various upscalers.
Final comparison showcasing the dramatic improvement from the original base image.
Encouragement for viewers to experiment with ADetailer settings for personalized results.