ComfyUI 35 Grouped Nodes - Free Workflow - Stable Diffusion

Rudy's Hobby Channel
21 Apr 202406:50

TLDRThis video tutorial showcases the updated 'Grouped Nodes' feature in ComfyUI 35, a workflow tool for Stable Diffusion. The presenter demonstrates how to combine multiple nodes into a single, more manageable group node, allowing customization of visible inputs and widgets. The process simplifies the workflow, making it neater and more user-friendly. The video also provides a walkthrough of the default workflow, from the initial image generation to post-processing and saving as a JPEG. The presenter's methodical approach to testing prompts and refining images is highlighted, offering viewers a clear guide on utilizing ComfyUI's features for efficient and streamlined image creation.

Takeaways

  • 😀 ComfyUI 35 has a new function for grouping nodes, making workflow more organized and efficient.
  • 🛠️ The function allows users to select which inputs, outputs, and widgets to include in the grouped node, enhancing customization.
  • 📋 The default ComfyUI workflow can be rearranged and grouped to create a cleaner and more streamlined interface.
  • 🔍 Users can manage the visibility of widgets within the grouped node to focus on the elements they frequently use.
  • 🎨 The workflow is designed to work from left to right, making it easy to follow and understand.
  • 📈 Grouping nodes can help declutter the workflow, allowing users to concentrate on the essential steps for their projects.
  • 🔄 The process starts with a loader group that includes prompts, checkpoint, image size, and styler.
  • 🖼️ The pipe sampler is crucial for the initial creation of images, enabling users to select the ones they want to further process.
  • 🔍 Further processing may involve a latent upscaler, a phase detailer, and image upscaling.
  • 🌟 Post-processing includes color, sharpening, vignette, and film grain adjustments before saving the final image.
  • 💾 The final step is to save the image as a JPEG, which is the default setting for the workflow.

Q & A

  • What is the main feature discussed in the ComfyUI 35 Grouped Nodes video?

    -The main feature discussed is the function that allows combining several different nodes into one new grouped node in ComfyUI, which has been improved to be more customizable and user-friendly.

  • How can users customize the grouped nodes in ComfyUI?

    -Users can customize grouped nodes by deciding which inputs, outputs, and widgets they want to see inside the new node through the 'manage the group node' feature.

  • What is the default workflow in ComfyUI mentioned in the script?

    -The default workflow in ComfyUI is a setup that the user has already rearranged to look neat and tidy, which can be further enhanced by grouping nodes.

  • How does the user create a grouped node in the script?

    -The user creates a grouped node by selecting multiple nodes, right-clicking, and choosing 'convert to group', then naming the new grouped node.

  • What is the purpose of the 'manage the group node' window?

    -The 'manage the group node' window allows users to select which widgets to display or hide within the grouped node, providing a more streamlined interface.

  • How does the user rearrange the nodes within a grouped node?

    -The user can rearrange the nodes within a grouped node by selecting the node and using the six dots to drag and place it in the desired position.

  • What is the benefit of using the group function in the workflow?

    -The group function helps to declutter the workflow by combining multiple nodes into one, focusing only on the parameters that are frequently used.

  • How does the user start the image processing workflow?

    -The user starts the image processing workflow by enabling the loader group with prompts, checkpoint, image size, and styler, followed by the pipe sampler.

  • What is the typical workflow process described in the script?

    -The typical workflow process starts with a loader group, followed by a sampler, latent upscale, phase detailer if needed, image upscaling, post-processing, and finally saving the image as a JPEG.

  • How does the user select an image for further processing?

    -The user selects an image for further processing by generating multiple images with the sampler, reviewing them, and choosing one that they like to proceed with latent upscaler and other steps.

  • What is the final step in the described workflow?

    -The final step in the workflow is to save the image as a JPEG, which includes the workflow information generated in the first step.

Outlines

00:00

🛠️ Customizing Group Nodes in COMI Workflow

The video script discusses the enhancement of a built-in function in COMI that allows users to combine multiple nodes into a single grouped node. This function has been recently improved, offering more control over which inputs, outputs, and widgets are visible within the new node. The speaker demonstrates how to use this feature by converting several notes into a 'group loader' node, then managing the visibility of widgets within the group. The workflow is made more streamlined and user-friendly by hiding unnecessary widgets and rearranging the layout. The script also mentions the default workflow, which is organized from left to right for easy following, and how the group node function helps in decluttering the workspace, allowing users to focus on essential parameters.

05:00

🖼️ Streamlining Image Generation with COMI's Group Nodes

In the second paragraph, the script continues to explore the use of group nodes in COMI's workflow, focusing on the image generation process. The speaker describes how they initially use the loader and sampler to quickly generate and select a preferred image. Once an image is chosen, further processing steps such as latent upscaling and image upscaling are activated. The script also touches on the optional use of adapters or control nets in the workflow. The speaker emphasizes the efficiency of the process, mentioning the speed at which images are generated and the ease of selecting and refining the desired outcome. The video concludes with a demonstration of the final image produced using the streamlined workflow and an invitation for viewers to enjoy the content.

Mindmap

Keywords

💡ComfyUI

ComfyUI refers to a user interface design that is easy and pleasant to use, often characterized by its intuitive layout and accessibility. In the context of the video, ComfyUI is a feature within the Stable Diffusion workflow that allows users to group multiple nodes into a single, more manageable unit, enhancing the user experience by simplifying the interface.

💡Grouped Nodes

Grouped Nodes is a functionality that enables users to combine several different nodes into one new node for easier management and a cleaner workflow. The script describes how this feature has been improved to allow more customization, which is crucial for users looking to streamline their workflow in Stable Diffusion.

💡Workflow

A Workflow in this context refers to a sequence of steps or processes followed to complete a task or project. The video discusses the default workflow in ComfyUI and how it can be customized using Grouped Nodes to create a more efficient and less cluttered process for generating images with Stable Diffusion.

💡Convert to Group

Convert to Group is an action within the ComfyUI that allows the user to transform selected nodes into a single grouped node. The script demonstrates this by showing how six individual nodes can be consolidated into one, simplifying the workflow and making it neater.

💡Widgets

Widgets in the video script represent the individual controls or components within a node that can be manipulated by the user. The script explains how the new Grouped Nodes function allows users to decide which widgets to display or hide within the grouped node, providing a more tailored experience.

💡Checkpoint

A Checkpoint in the context of the video is a saved state of the image generation process that can be loaded and used as a starting point for further modifications. The script mentions the checkpoint as part of the Loader Group, indicating its importance in the workflow.

💡Sampler

Sampler in the video refers to a node that generates images based on the input parameters. It is a crucial part of the workflow as it is used in the initial step to create multiple images for selection and further processing.

💡Latent Upscale

Latent Upscale is a process mentioned in the script where an image generated in the workflow is enhanced in quality or detail. It is part of the further processing steps after the initial image creation with the Sampler.

💡Post Processing

Post Processing involves the final adjustments made to an image after its initial creation. The script describes several nodes related to post processing, such as color correction, sharpening, vignette, and film grain, which are used to refine the image before saving.

💡JPEG

JPEG is a common image file format used for storing and sharing images. In the script, the final step of the workflow involves saving the image as a JPEG, which is the default action as it includes the workflow information generated in the first step.

💡Turbo Checkpoint

Turbo Checkpoint, as mentioned in the script, likely refers to a mode or setting that speeds up the image generation process. It is used to quickly generate multiple images for selection, demonstrating the efficiency of the workflow.

Highlights

ComfyUI 35 introduces a function to combine different nodes into a new grouped node.

The function has been improved to allow more customization of inputs, outputs, and widgets.

Users can now select which widgets to display within the grouped node for a cleaner workflow.

A demonstration of converting multiple nodes into a single 'Group Loader' node.

Managing the group node allows for customization of the node's interface.

The ability to rearrange widgets within the grouped node for a preferred layout.

The checkpoint name widget is set to be visible for user convenience.

Unnecessary widgets like batch size and D noise can be hidden for a cleaner interface.

The updated default workflow is easier to follow and less cluttered with grouped nodes.

Workflow steps are organized from left to right for a logical progression.

The initial workflow includes a loader group with prompts, checkpoint, and image size.

The pipe sampler is essential for the first step of image creation.

Further image processing can involve a latent upscale and phase detailer.

Image upscaling and post-processing steps are part of the workflow.

The final step is to save the image as a JPEG, which is the default action.

The workflow includes the ability to quickly try out new prompts with the sampler.

Once a preferred image is selected, further processing like latent upscale can be initiated.

The workflow allows for the optional use of a face detailer if needed.

Post-processing features like color, sharpening, and vignette can be toggled on or off.

An example of an image processed through the default workflow is shown.

The video concludes with an invitation to explore the next video and enjoy the workflow.