Another Easy Consistent Face Method - Stable Diffusion Tutorial (Automatic1111)
TLDRThis tutorial explores the use of IP adapter models for achieving consistent faces in images through a process involving three main steps. The first step involves uploading a series of reference images to ControlNet, which can enhance the result when using multiple images. Next, the IP adapter face ID plus pre-processor and model are selected, with ControlNet's Pixel Perfect option enabled. The final step is to input prompts, including the use of the IP adapter face ID plus V2 model and the Laura model for improved results. The video also tests the model's response to additional prompts, such as facial expressions and ethnicity, and demonstrates the effectiveness of using prompts with the IP adapter while maintaining the original face's likeness. The results are shown to be consistent, though not always perfectly accurate, with higher quality achievable by switching to an SDXL model. The video concludes with an image-to-image demonstration, where the ControlNet is set up to paint areas of the face, resulting in a higher quality output with fewer artifacts.
Takeaways
- ๐ Install the IP adapter model for combining images with prompts and transferring styles from one image to another.
- ๐ Download the Epic Realism and Epic Realism SDX model files and place them in the stable diffusion folder.
- ๐ Ensure to download the SDXL V and place it in the models V folder for using SDXL models.
- ๐ Add popular samps to the models sran folder from the provided repository.
- ๐ Navigate to the face ID repository to download necessary files for face modification.
- ๐ Use the Control Net web UI to upload a series of reference images for consistent face replication.
- ๐ผ๏ธ Use multiple images in a single control net unit for stronger and better results.
- ๐ง Select the IP adapter face ID plus pre-processor and model for face modification.
- ๐ Include prompts and use the IP adapter to replicate the result of the reference image.
- ๐ญ Test the IP adapter model with additional prompts to change facial expressions and overall look.
- ๐ง Experiment with prompts to change ethnicity and gender while maintaining the original face likeness.
- ๐ค Results may vary in quality, but consistency is achievable with SD15 models.
- ๐ผ๏ธ For higher accuracy, switch to an SDXL model and use the corresponding IP adapter and Laura models.
- ๐จ Use image-to-image techniques for modifying faces by painting areas of the face to be swapped.
- ๐ Tighten the mask to include only the face and ears for better quality in image-to-image modifications.
Q & A
What is the purpose of using an IP adapter model in the context of the video?
-The IP adapter model is used for combining images with prompts and transferring styles from one image to another, which is useful for achieving consistency in character faces across different images.
What are the two models mentioned for achieving epic realism in the video?
-The two models mentioned for achieving epic realism are the Epic Realism and Epic Realism SDX models, which can be downloaded and installed from the description box.
How many images are suggested to use for a stronger and better result when using the IP adapter?
-It is suggested to use three to five images for a stronger and better result when using the IP adapter.
What is the role of the Control Net in the process described in the video?
-Control Net is used to upload a series of reference images and to process them through the IP adapter for face modification, allowing for multiple images to be used in a single control net unit.
What is the significance of using the multi-input section in the latest version of Control Net?
-The multi-input section allows for the use of multiple images in a single control net unit, which is beneficial for taking multiple variations of the same face and running them through the IP adapter.
How does the video suggest improving the quality of the faces generated with the SD15 models?
-To improve the quality of the faces, the video suggests changing the checkpoint to an SDXL model and using the Control Nets SDXL IP adapter model along with the IP adapter SDXL Laura.
What is the process for testing the IP adapter model's response to additional prompts?
-The process involves using the IP adapter model with additional prompts that change the overall look of the image, such as facial expressions, and observing how the model blends these prompts with the original face likeness.
How did the video demonstrate the effectiveness of using prompts with the IP adapter?
-The video demonstrated the effectiveness by showing results from prompting a black or Asian person with Brad Pitt in the IP adapter, resulting in uncanny versions of Brad Pitt that retained the original faces' likeness.
What challenges were encountered when trying different poses with the face in the video?
-Some challenges included the face looking plastered on in some images, which is expected due to the complexity of maintaining facial consistency across different angles.
How was the issue of artifacts around the eyes and neck addressed in the image-to-image process?
-The issue was addressed by tightening up the mask to only include the face and ears, and using the 'inpaint only mask area' option to resize only the inpainted area, resulting in better quality and blending.
What is the final recommendation for viewers interested in modifying faces with Control Net IP adapter?
-The final recommendation is to subscribe and support the creator on Patreon for more tutorials and insights on modifying faces with Control Net IP adapter.
Outlines
๐ Consistent Faces with IP Adapter and Control Net
The video begins with an introduction to the use of an IP adapter model for achieving consistent facial phases in images. The host plans to replicate a celebrity face and an original face from a previous experiment to demonstrate consistency. The process involves installing various models, including Epic Realism and its SDX variant, downloading SDXL V, and adding popular samples to the models' SRAN folder. The IP adapter models are crucial for face modification and require downloading specific files and placing them in designated folders. The video provides a step-by-step guide on using Control Net for uploading reference images, selecting the appropriate pre-processor and model, and entering prompts for generating images with consistent faces. The host also discusses the potential for achieving high accuracy with SDXL models and the importance of using the latest version of Control Net for multi-input options. The video concludes with tests on how the IP adapter model responds to additional prompts, including facial expressions and ethnicity changes, and the successful replication of faces across various poses and angles.
๐ผ๏ธ Image-to-Image Modifications with Control Net and Inpainting
The second paragraph focuses on image-to-image modifications using Control Net for inpaintings. The host discusses the process of setting up Control Net to paint areas of the face that need to be swapped or modified. They mention using a denoising strength of around 0.6 for good results, but also note some artifacts around the eyes and neck due to mask seepage. To improve the outcome, the host refines the mask to include only the face and ears and utilizes the 'Inpaint only mask area' option to resize only the inpainted area. This approach results in a higher quality image with better eye detail and blending with the original face, and less mask seepage. The video also touches on age-related prompts and their effect on the aging process of the face in the image. The host concludes by inviting viewers to subscribe and support the channel on Patreon for more helpful content.
Mindmap
Keywords
๐กConsistent Face Method
๐กIP Adapter
๐กEpic Realism
๐กControl Net
๐กFace ID Repository
๐กPixel Perfect
๐กSDXL Models
๐กFacial Expressions
๐กEthnicity Prompts
๐กGender Swap
๐กImage-to-Image
Highlights
The video demonstrates using an IP adapter model to achieve consistent faces in images.
The IP adapter model is useful for combining images with prompts and transferring styles from one image to another.
The tutorial covers installing models and replicating a celebrity and an original face for consistency.
Epic realism and epic realism SDX models are used, which can be downloaded from the description box.
SDXL V is required for using SDXL models and should be placed in the models V folder.
A repository containing popular samps is needed for the models sran folder.
Face ID repository is used for downloading files required for face modification in the control net extensions model folder.
The web UI should show the models available for use after installation.
Achieving consistent faces can be useful for specific results on a stubborn checkpoint.
Three steps are outlined for achieving consistent faces using reference images, IP adapter pre-processor, and control net settings.
Using three to five images gives a stronger and better result than a single image.
The IP adapter face ID plus V2 model and Laura are used to produce improved results.
Accuracy with SD15 models may not be perfect but consistency is achievable.
For higher accuracy, use an SDXL model with control Nets and IP adapter SDXL Laura.
The video shows that additional prompts can be used with the IP adapter model without losing the original face likeness.
Gender swapping using the IP adapter model works well while maintaining ethnicity.
Different poses can be tested to ensure the face remains consistent and free of artifacts.
Age-related prompts show potential but may not be as extreme as desired due to reference photo limitations.
Image-to-image results can be achieved by setting up control net and painting areas of the face to be swapped.
Using a tighter mask and resizing only the inpainted area improves the quality and blending of the generated image.