Change Image Style With Multi-ControlNet in ComfyUI 🔥
TLDRIn this tutorial, the speaker demonstrates how to use Multi-ControlNet within ComfyUI to change an image's style from realistic to anime. They guide viewers through installing necessary components like Confu Manager and custom notes, and walk through the process step-by-step. The video showcases the workflow, including selecting the right control net models and adjusting their weights for the desired effect. Additionally, a trick for removing backgrounds using control nets is shared, providing a comprehensive guide for users seeking to enhance their image generation skills.
Takeaways
- 🔧 The video discusses using Multi-ControlNet within ComfyUI for image style transformation.
- 🤖 It compares automatic and Multi-ControlNet, suggesting the latter offers more control for better results.
- 🎨 The demonstration includes changing a realistic image style to an anime style using Multi-ControlNet.
- 📚 The workflow involves using custom notes and a control net to manipulate the image generation process.
- 🛠️ The tutorial guides through the installation of necessary components like Confu Manager and custom notes.
- 🌐 Reference to Pexels as a source for free images and videos for testing purposes with stable diffusion.
- 🔍 The importance of choosing the right preprocessor and control net models for the desired image transformation is highlighted.
- 🎭 The video shows how to use the CR Multi-Control Net Stack to select and combine different control net models.
- 🖼️ Techniques for removing the background from an image using control net and inverting masks are explained.
- 📈 The use of different control net strengths (weights) to balance the influence of each control net on the final image is discussed.
- 📹 Tips for creating videos using multiple control nets for a sequence of images are briefly mentioned.
Q & A
What is the main topic of the video?
-The main topic of the video is about using Multi-ControlNet within ComfyUI to change an image style from realistic to anime style and a trick for removing the background using ControlNet.
Why might someone prefer using Multi-ControlNet over automatic 1111 in ComfyUI?
-Some users might prefer Multi-ControlNet over automatic 1111 because it provides more control over the generated image, which can be useful for achieving better or more professional results.
What is the purpose of the ControlNet pre-processor in the workflow?
-The ControlNet pre-processor is used for generating different types of masks from the input image, which allows the diffusion model to create images based on various characteristics of the input image.
How can one install ComfyUI's custom notes without using Confu Manager?
-If someone doesn't want to use Confu Manager, they can Google the name of the box used, find the GitHub page, and install it using the common window by getting the clone URL of the page.
What is the role of the 'CR multicontrol net stack' in the workflow?
-The 'CR multicontrol net stack' is used to control which control net model is going to be used in the image generation process, allowing the user to select and combine different control net models as needed.
What is the significance of the 'control net strength' or 'control net weight' in the workflow?
-The 'control net strength' or 'control net weight' determines how much influence a particular control net model has on the final image. A weight of one means full influence, while a lower weight reduces its impact.
How can the background of an image be removed using ControlNet?
-The background can be removed by using a depth map in combination with other control nets like line art. By inverting the mask and using the depth map to focus on the person rather than the background, the unwanted background can be excluded from the final image.
What is the purpose of the 'DW pre-processor' mentioned in the script?
-The 'DW pre-processor' is used for generating a new open pose mask that can be used to replace the previous one, which might include unwanted elements like a person in the background.
Can the 'CR multicontrol net stack' be used to create videos?
-Yes, the 'CR multicontrol net stack' can be used to create videos by using different control net models for generating images and applying flickering effects using software like D Vinci or Adobe.
What is the recommended approach if one wants to use more than three control net models in the workflow?
-If one wants to use more than three control net models, they can clone the 'CR multicontrol net stack' and connect it sequentially, allowing for up to six control nets to be used in total.
Outlines
🎨 Introduction to Multicontrol Net in Comic Style Transformation
The speaker introduces the topic of using Multicontrol Net within Comic to change a realistic image style to an anime style. They explain that while automatic 1111 is user-friendly, Multicontrol Net offers more control over the image generation process, which is beneficial for achieving better or more professional results. The workflow involves using Control Net to manipulate the style and remove the background from an image. The speaker guides the audience through installing necessary components like Confi Manager and downloading specific custom notes from a GI p page. They also mention using images from Pexels for testing purposes and outline the packages used for the workflow, such as Confi Comy, Costume Notes, and the CR multicontrol net stack.
🖌️ Exploring Control Net Pre-processors for Image Masking
The speaker discusses the process of generating masks from an image for different control net models to analyze and understand which ones to use. They mention various pre-processors for creating masks that control different aspects of the image, such as depth, color, and shape. The goal is to transform a picture into an anime style, so the speaker evaluates different control nets, like line art, scribble, and Kenny, to decide which ones to use. They describe how to use the CR multicontrol net stack to control which model is applied and adjust the control net strength to balance the influence of the mask on the final image.
🌟 Adjusting Control Net Weights and Generating Anime Style Images
The speaker continues by detailing the process of adjusting control net weights to achieve the desired anime style transformation. They connect different pre-processors to the CR multicontrol net stack and select models from the Confi models control net folder. The speaker explains how to set the control net strength, which corresponds to the control net weight in automatic 1111, and how to choose a main settings checkpoint, such as the cardos anime variational out encoder. They also discuss setting up the prompt and negative prompt to match the model's requirements and how to include additional settings like CR aspect ratio for automatic aspect ratio control.
🌿 Removing Unwanted Background Elements Using Depth Maps
The speaker addresses the issue of unwanted background elements appearing in the generated image and provides a solution using depth maps. They explain how to use the depth map in combination with line art to remove the background and invert the mask to focus on the person instead. The speaker demonstrates how to replace the original open pose mask with a new one that excludes the unwanted background person by using the invert mask and inpaint preprocessor. They conclude by showing the final transformed image with the desired anime style and a natural background, and they briefly touch on using multiple control nets for creating videos.
Mindmap
Keywords
💡Multi-ControlNet
💡ComfyUI
💡Anime Style
💡Control Net
💡Confu Manager
💡Pre-processor
💡Mask
💡Diffusion Model
💡Control Net Weight
💡Inpaint Pre-processor
💡Aspect Ratio
Highlights
Introduction to Multi-ControlNet within ComfyUI for image style transformation.
Comparing automatic and manual control for achieving better and more professional results in image generation.
Demonstration of changing a realistic image style to an anime style using Multi-ControlNet.
Tutorial on removing the background of an image using ControlNet.
Step-by-step guide on installing Confu Manager and custom notes for image processing.
Use of Pexels for sourcing free images and videos for testing and experimenting with Stable Diffusion.
Importance of choosing the right pre-processor for generating different image characteristics.
Explanation of how to use CR Multi-Control Net Stack for controlling which control net model to use.
Adjusting the control net strength to balance the influence of the control net on the final image.
Technique for generating multiple masks to analyze and select the desired control net model.
Inclusion of a preview image for each control net pre-processor to visualize the created mask.
Strategy for avoiding unwanted elements in the background by manipulating control net masks.
Inversion of the mask using the Inpaint preprocessor to isolate the subject from the background.
Combining different control net models to achieve a desired image transformation effect.
Use of the Depth pre-processor in conjunction with Line Art for advanced background removal.
Creating a video by using different control net models and applying flickering effects.
Advantages of using more than one control net for creating more stable videos with less flickering.
Final demonstration of the transformed image with the desired anime style and background.