Instant IDでLoRAが不要になる?【Stable Diffusion WebUIでInstant IDを使い同じ顔の人物を生成する方法】

5 Feb 202415:55

TLDRThe video script introduces Instant ID, a feature that generates high-precision images based on a single reference image, surpassing the consistency and quality of previous methods like FACEID. The tutorial covers the installation of necessary data and models, the use of ControlNet technology, and the process of generating images with Instant ID in a stable diffusion web UI. The video also discusses the impact of Instant ID on character creation, highlighting its potential to replace traditional methods and offering a glimpse into the future of image generation.


  • 🎥 The video introduces the Instant ID feature for image generation using Stable Diffusion WEB UI.
  • 🖼️ Instant ID allows generating images with high accuracy and consistency by using a single reference image.
  • 🔄 The technology eliminates the need for character rollers and pre-trained data, as it can generate images from a single input image.
  • 🔧 The process requires the installation of Control Net and specific models to utilize Instant ID.
  • 🌐 The video provides a tutorial on how to install necessary models and set up Instant ID in the Stable Diffusion WEB UI.
  • 🎨 Two models are used in the demonstration: one for Instant ID and another for fusion path value model.
  • 📂 Models should be downloaded and placed in the correct folders with specific naming conventions for the system to recognize them.
  • 🔄 The video demonstrates the use of Control Net with two units, where Unit 0 generates a base image using Instant ID and Unit 1 refines it with facial key points.
  • 👥 The output showcases the ability to generate images of the same person with varying backgrounds and clothing, maintaining facial consistency.
  • 🎨 The video compares the quality of images generated with and without Instant ID, highlighting the improvement in consistency and accuracy.
  • 🛠️ The presenter recommends adjusting certain settings like CFC Scale and sampling steps for better output quality.
  • 🔗 The video creator also runs a website (ITDTM) where he posts articles related to technology, including guides and reviews on PC peripherals and gadgets.

Q & A

  • What is the main topic of the video?

    -The main topic of the video is the introduction and demonstration of the Instant ID feature in a diffusion model, which is used to generate high-precision images based on a single reference image.

  • What is Instant ID and how does it differ from previous methods?

    -Instant ID is a technology that allows the generation of images with consistent facial features from a single reference image, without the need for pre-trained data or character fixation tools like rollers, which were commonly used before its introduction.

  • What is the role of Control Net in using Instant ID?

    -Control Net is a technology used in conjunction with Instant ID. It helps control the generation process by reading facial features from the reference image and applying them to the generated image, ensuring a high degree of similarity and consistency.

  • What are the necessary steps to install and use Instant ID?

    -To install and use Instant ID, one must first install Control Net as an extension, download the required models, and save them in the correct folder within the WEBUI holder. Afterward, the models need to be set up in the Control Net interface, and the Instant ID feature can be utilized to generate images.

  • What models were used in the demonstration of Instant ID in the video?

    -Two models were used in the demonstration: one downloaded from the IP Adapter Binary and another, the Diffusion Path Value Model, which is necessary for the process. The models are installed in a specific folder and used within the Control Net interface.

  • How does the Instant ID feature impact the quality of generated images?

    -The Instant ID feature significantly improves the quality and consistency of generated images. It ensures that the facial features are accurately replicated from the reference image, resulting in images that closely resemble the original character or person.

  • What are the recommended settings for using Instant ID effectively?

    -For effective use of Instant ID, it is recommended to keep the CFC Skeleton setting low (around 4 to 5) and to adjust the sampling steps (between 20 to 30 is suggested). These settings help in achieving a balance between quality and generation time.

  • How does the CFC Scale setting affect the generated images?

    -The CFC Scale setting affects the side feeling of the generated images. A lower setting (like 1) results in less defined features and a more blurry image, while a higher setting increases the side feeling, making the image more detailed but potentially distorting the facial features.

  • What is the benefit of using the LCM Roller in conjunction with Instant ID?

    -Using the LCM Roller with Instant ID improves the quality of the generated images. It helps to refine the details and overall appearance, resulting in clearer and more visually appealing images compared to using Instant ID alone.

  • What kind of results can be expected from using Instant ID with different prompts?

    -Using Instant ID with different prompts allows for the generation of a variety of images while maintaining the consistency of the character's facial features. It enables users to explore different styles, backgrounds, and themes without affecting the likeness of the character to the reference image.

  • Where can viewers find more information and resources related to Instant ID?

    -Viewers can find more information, including articles and download links for the models, on the presenter's website, ITDTM. The link to the website is provided in the video's description for further reference.



🎥 Introduction to Instant ID in Video Tutorial

This paragraph introduces the video's focus on Instant ID, a feature that allows for the generation of high-precision images based on a single reference image. The speaker, Nobu, explains that this technology surpasses the precision of previous methods like FACEID and IP Adapter. He plans to demonstrate how to use Instant ID with a web UI, starting with a brief explanation of what Instant ID is, followed by the installation of necessary data and models, and concluding with a showcase of the generated images and a final summary.


🛠️ Setting Up and Using Instant ID

In this paragraph, Nobu delves into the setup process for using Instant ID. He guides the audience through the installation of Control Net and the downloading of necessary models. Nobu emphasizes the importance of preparing a reference image and explains how to use the Control Net UI to generate images with Instant ID. He also discusses the technical aspects of the process, such as the number of Control Net units and the settings for the Instant ID feature.


🖼️ Demonstrating Instant ID's Image Generation

Nobu showcases the effectiveness of Instant ID by comparing images generated with and without the feature. He highlights the consistency and quality of the generated images, noting that Instant ID allows for the creation of images with a high degree of similarity to the reference image. He also discusses the impact of different settings, such as the cfg scale and sampling steps, on the output quality. Nobu concludes by encouraging viewers to experiment with various prompts and settings to achieve the desired results.


📺 Conclusion and Additional Resources

In the concluding paragraph, Nobu wraps up the video by reiterating the capabilities of Instant ID and its potential to revolutionize image generation. He invites viewers to subscribe to his channel for more content on PC peripherals, gadgets, and stable diffusion techniques. Nobu also directs the audience to his website, ITDTM, for further articles and download links related to the models used in the tutorial. He thanks the viewers for watching and provides a link in the video description for easy access to additional resources.



💡Instant ID

Instant ID is a feature that allows the generation of images based on a single reference image, capturing the characteristics of the person in the image. In the video, it is highlighted as a technology that can produce high-precision images with consistency, without the need for pre-learning or fixed character models like the previously used Lola. It is used in conjunction with the ControlNet technology.

💡Stable Diffusion

Stable Diffusion is a type of deep learning model used for generating images from text prompts. It is the underlying technology that powers the Instant ID feature discussed in the video. The video creator uses Stable Diffusion to showcase the capabilities of Instant ID in generating detailed and accurate images from a single reference image.


ControlNet is a technology used in conjunction with Instant ID that allows for more precise control over the generation of images. It is a feature within the Stable Diffusion model that enables the user to manipulate specific aspects of the generated images, such as facial features and expressions, based on a reference image.

💡IP Adapter

IP Adapter is a term used in the context of the video to refer to a specific function or tool that works in tandem with Instant ID and ControlNet. It seems to be a part of the process that helps in the generation of images with high fidelity to the reference image.

💡Model Installation

Model Installation refers to the process of setting up the necessary files and software required to use the Instant ID feature. This includes downloading and placing the correct models in the designated folders within the user's system, which enables the Stable Diffusion and ControlNet technologies to function properly.

💡CFG Scale

CFG Scale is a parameter within the ControlNet technology that adjusts the level of detail and quality of the generated images. Lowering the CFG Scale can result in a more stylized output, while increasing it can lead to more detailed and realistic images. It is used to balance the trade-off between image quality and the level of transformation.

💡Sampling Steps

Sampling Steps refers to the number of iterations the model goes through to generate an image. Increasing the number of sampling steps can improve the quality and detail of the generated images, but it may also increase the computational resources required and the time taken to generate the image.

💡LCM Roller

LCM Roller is a term used in the video to describe a technique or tool that enhances the quality of images generated by the Instant ID feature. It seems to work synergistically with the Instant ID and ControlNet technologies to produce higher fidelity images.


FaceID is a technology mentioned in the video that was previously used for facial recognition and image generation. It is compared to Instant ID, with the latter being highlighted as a more advanced and precise technology that does not require pre-learning or fixed character models.

💡Web UI

Web UI refers to the user interface of the web-based application used for image generation with Instant ID and Stable Diffusion. It is the platform where users interact with the model, upload reference images, and adjust settings to generate the desired images.


VRAM, or Video RAM, is the memory used to store image data for the GPU to process. In the context of the video, the creator mentions that using Instant ID and Stable Diffusion can be resource-intensive, potentially maxing out the VRAM of the user's PC, which is why certain steps are taken to manage the resource usage.


The video introduces the Instant ID feature, a technology that generates images based on a single reference image.

Instant ID offers higher precision and consistency compared to previous methods like FACEID and IP Adapter.

The presenter, Nobu, also runs the ITDTM website, which covers topics like diffusion models and tech gadget reviews.

The video provides a step-by-step guide on how to use Instant ID with Stable Diffusion Web UI.

To use Instant ID, viewers are instructed to install ControlNet and update it to the latest version.

Two models are required for Instant ID: one from the IP Adapter Binary and another from the Diffusion Path model.

The video demonstrates how to install and configure the necessary models for Instant ID usage.

Instant ID can generate images with consistent facial features from a single reference image without the need for training.

The presenter recommends using a lower CFG scale for better image quality when using Instant ID.

The video shows a comparison between images generated with and without Instant ID, highlighting the improved consistency and quality.

The presenter suggests experimenting with different prompts for fun and creative results when using Instant ID.

Combining Instant ID with LCM Roller improves image quality and reduces the subtle issues found when using Instant ID alone.

The video concludes with a summary of the Instant ID feature and its practical applications.

The presenter invites viewers to check out his website for more information on Instant ID and related models.

The video ends with a call to action for viewers to subscribe to Nobu's channel for more tech and diffusion model content.