InstantID for Automatic 1111

Olivio Sarikas
30 Jan 202406:56

TLDRThe video tutorial introduces 'InstantID for Automatic 1111', a technology that allows for facial recognition independent of style. The host guides viewers through the setup process, emphasizing the importance of updating the Control Net extension and using two Control Nets simultaneously. The tutorial details downloading and installing necessary models from GitHub, with specific instructions on renaming the files for proper recognition. High-resolution images are recommended for the best results, and the video provides tips for adjusting settings, such as control weight and end control step, to achieve a balance between style application and facial precision. The host also suggests using a turbo model for faster rendering and experimentation. The summary encourages viewers to engage with the content, follow for updates, and share their thoughts in the comments.


  • ๐Ÿš€ Instant ID for Automatic 1111 is a new technology that can be used to set up and run with the right settings quickly.
  • โš ๏ธ It uses inside face technology and should not be used for commercial purposes.
  • ๐Ÿ”„ To start, check for updates in Automatic 1111's extensions tab, especially updating the Control Net extension.
  • ๐Ÿ“‚ Download and install the necessary models from the GitHub page mentioned in the video for both Instant ID phase embedding and Instant ID face key points.
  • ๐Ÿ”— Ensure the downloaded files are renamed correctly for Control Net to understand and use them properly.
  • ๐Ÿ–ผ๏ธ For the best results, use a clear, high-resolution image with the face fully visible and not overlaid by anything.
  • ๐Ÿงฉ Load the image into both the first and second control nets for processing.
  • ๐Ÿ” Set the pre-processor resolution to a suitable size, such as 2024, to maintain quality without unnecessary delays.
  • ๐Ÿš€ For faster rendering, use the Turbo Diffusion XL model, which is optimized for speed and quality.
  • โœ… Write a precise and short prompt for the style you want to apply to the image, as the model can understand what you want without lengthy prompts.
  • ๐ŸŽ›๏ธ Adjust the control weight in both control nets to find a balance between style freedom and facial precision.
  • ๐Ÿ”„ Experiment with the end control step to see how it affects the final result, and find the best settings for your needs.

Q & A

  • What is Instant ID for automatic 1111?

    -Instant ID for automatic 1111 is a technology that allows for the automatic identification and manipulation of faces in images, providing different style results while maintaining the face's identity.

  • Why is it important to update the control net extension in automatic 1111?

    -Updating the control net extension is crucial as it ensures that you have the latest features and bug fixes, which are necessary for the proper functioning of the Instant ID technology.

  • What are the two control nets required for using Instant ID with automatic 1111?

    -The two control nets required are the instant ID phase embedding for the first control net and the instant ID face key points for the second control net.

  • Why should the models for the control nets be downloaded from the GitHub page mentioned in the transcript?

    -The models need to be downloaded from the GitHub page because they are specifically designed for the Instant ID technology and are named correctly there to ensure compatibility with control net.

  • What is the recommended image resolution for using Instant ID?

    -A high-resolution image with nice details is suggested, but you can also experiment with lower resolutions. The speaker in the transcript set their image to a 1:1 crop with 2,000 pixels on each side.

  • How does the turbo model for sdxl help in the rendering process?

    -The turbo model for sdxl renders styles in very few steps, which results in faster render times. This allows for more experimentation with the model.

  • What is the recommended setting for the VAE in automatic 1111?

    -The recommended setting for the VAE is to set it to 'automatic' if you have that option available.

  • Why is it suggested to keep the prompts precise and short when using sdxl?

    -Keeping prompts precise and short makes it easier to apply style to the image and is more efficient since sdxl doesn't require super long prompts to understand what you want to create.

  • What sampler and steps are recommended when working with a turbo model?

    -The DPM Plus+ SD Caris sampler is recommended, using only eight steps to save time.

  • How can the control weight and end control step be adjusted for better results?

    -The control weight can be set to 0.5 in both control nets and then fine-tuned for a balance between style freedom and face precision. The end control step can also be experimented with to see what kind of results are achieved.

  • What is the purpose of using a lower CFG scale for instant ID?

    -A lower CFG scale is suggested by the GitHub page for instant ID to achieve better results with the anime style of the image.

  • Why is it important to have a clearly visible face in the image for Instant ID to work effectively?

    -A clearly visible face that is not cut off or overlaid by anything allows the technology to accurately identify and apply styles to the face without distortion.



๐Ÿš€ Introduction to Automatic 1111 and Face Technology

The video begins with an introduction to the Automatic 1111 software and its innovative face technology. The host explains how to set up the software and emphasizes that it should not be used commercially. The viewer is shown the initial image and how it can be transformed into various styles while maintaining the integrity of the face. The host then guides the audience through updating the Control Net extension, downloading necessary models from GitHub, and setting up the software with the correct file names. The importance of using a high-resolution image for the face, and the process of loading the image into the control nets is also discussed. Finally, the host talks about using a turbo model for faster rendering times and setting the VAE to automatic.


๐ŸŽจ Applying Style and Control Net Settings

The second paragraph focuses on applying style to the image using the SDXL model and the importance of using concise and precise prompts. The host shares their settings for the DPM Plus+ SD Caris sampler and a lower CFG scale for the Instant ID, which helps in achieving a good balance between style freedom and facial precision. The video also covers the control net settings, advising viewers to adjust the control weight for a balance between style and precision, and to experiment with the end control step for different results. The host encourages viewers to share their thoughts in the comments and to follow them on Twitter for AI news updates, ending the video with a call to action for likes and future engagement.



๐Ÿ’กInstant ID

Instant ID refers to a technology or feature that allows for the rapid identification of individuals or objects. In the context of the video, it is used to describe a specific software or tool that enables automatic recognition and processing of faces in images, which is central to the video's theme of demonstrating how to set up and use this technology.

๐Ÿ’กAutomatic 1111

Automatic 1111 appears to be the name of a software or application mentioned in the video. It is the platform on which the Instant ID feature is being demonstrated, and it is used to show how to update and configure the software for facial recognition and style application in images.

๐Ÿ’กControl Net

Control Net is a term used in the video to describe a component or feature within the Automatic 1111 software that allows for the manipulation and control of the facial recognition process. It is crucial for selecting the pre-processor and model to be used for the Instant ID process.

๐Ÿ’กIP Adapter Instant ID

IP Adapter Instant ID is mentioned as a specific model within the Automatic 1111 software suite. It is used for the 'instant ID phase embedding' in the first control net, indicating that it plays a key role in the initial stages of facial recognition and style application.


A pre-processor in the context of the video is a part of the software that prepares the data (in this case, images) before it is processed by the main application. It is an important step in ensuring that the facial recognition and style application work correctly.


In the context of the video, a model refers to a specific algorithm or set of instructions used by the software to perform tasks such as facial recognition and style application. The models mentioned, like 'IP Adapter Instant ID' and 'Instant ID face key points', are integral to how the software functions.


GitHub is a platform for version control and collaboration that is mentioned in the video as a source for downloading necessary models for the Automatic 1111 software. It is a key resource for users looking to update or customize their software with additional features.


Resolution in the video refers to the clarity and detail of the images being processed by the Automatic 1111 software. A higher resolution image provides more detail, which is beneficial for accurate facial recognition and style application, as mentioned when discussing the image requirements.

๐Ÿ’กTurbo Model

A turbo model, as described in the video, is a version of the software or algorithm that is optimized for faster rendering or processing times. It is suggested for use when the user wants to experiment more quickly with the style application in images.

๐Ÿ’กCFG Scale

CFG Scale refers to a setting within the Automatic 1111 software that controls the level of detail or 'configuration' in the style application process. A lower CFG scale is suggested in the video for the Instant ID feature to balance speed and quality.

๐Ÿ’กControl Weight

Control weight is a parameter within the Control Net feature that determines the influence of the facial recognition on the style application. Adjusting the control weight allows for a balance between the freedom of style and the precision of facial features, as discussed in the video.

๐Ÿ’กEnd Control Step

End control step is a term used to describe the point at which the Control Net feature stops applying its influence during the style application process. Experimenting with this setting can yield different results in the final image, as highlighted in the video.


Instant ID for automatic 1111 is a new technology that enhances facial recognition.

The technology is not suitable for commercial use due to its inside face technology.

To set up, users need to update the Control Net extension in automatic 1111.

An error message may require restarting automatic 1111 by closing the command line window.

Two Control Nets are used, with specific models and pre-processors selected for each.

The models for Instant ID phase embedding and face key points are available for download on GitHub.

The downloaded model files need to be renamed according to the instructions for proper functionality.

High-resolution images with clear, visible faces are recommended for the best results.

The image should be loaded into both the first and second Control Nets for processing.

A turbo model for SDXL is suggested for faster rendering and easier experimentation.

The DPM Plus+ SD Caris sampler with eight steps is used for efficiency with the turbo model.

A lower CFG scale of four is recommended for the Instant ID to balance style and precision.

Adjusting the control weight and end control step can significantly affect the outcome of the facial style application.

The presenter suggests a control weight of 0.5 for a balance between style freedom and precision.

Experimenting with the end control step can yield different results in facial style rendering.

The technology provides more freedom in applying styles independent of the face's features.

The presenter recommends following on Twitter for daily AI news updates.

The video provides a detailed guide on how to set up and use Instant ID for automatic 1111.