ComfyUI - Detailed Review
Developer Tools
ComfyUI - Product Overview
Introduction to ComfyUI
ComfyUI is an open-source graphical user interface (GUI) specifically designed for interacting with the Stable Diffusion model, a popular deep learning model used for generating images from text prompts. Here’s a breakdown of its primary function, target audience, and key features:
Primary Function
ComfyUI serves as a user-friendly interface that allows users to generate images using Stable Diffusion without requiring extensive programming knowledge. It enables users to construct and manage image generation workflows through a node-based system, where different blocks (nodes) are chained together to create a workflow.
Target Audience
ComfyUI is aimed at a diverse group of users, including:
- Designers and creators interested in AI image generation.
- Beginners with some foundation in AI image generation, particularly those familiar with tools like Midjourney or SD WebUI.
- Experienced developers and artists looking to leverage advanced features for complex workflows.
Key Features
Node-Based Workflow
ComfyUI uses a node-based system, allowing users to break down the image generation process into manageable blocks. These nodes can include text input, CLIP, checkpoint loader, sampler, and VAE nodes, among others. This system makes it easy to create, modify, and share reproducible workflows.
Customization and Flexibility
The interface is highly configurable, enabling users to customize their workflows according to their needs. It is lightweight and runs fast, making it suitable for prototyping and complex image generation tasks.
Transparency and Community Support
ComfyUI is open-source, hosted on GitHub, which allows for transparency and community collaboration. Users can access the source code, contribute to improvements, and benefit from extensive documentation and community support. The active community helps in troubleshooting issues and exchanging ideas.
Advanced Applications
ComfyUI supports advanced applications such as batch processing, image manipulation, and integration with other AI models. It also facilitates collaborative projects by allowing multiple users to interact with the same interface. Users can create intricate art styles, automate repetitive tasks, and even build full applications on top of image models.
Additional Resources
The project includes comprehensive documentation, installation guides, and usage examples. Users can also find help through the Issues section on GitHub and community forums or chat groups. Additionally, resources like the Comfy Registry provide an online library of different nodes that users can use instead of building everything from scratch.
In summary, ComfyUI is a versatile and user-friendly tool that simplifies the process of generating images with Stable Diffusion, making it accessible to a wide range of users while offering advanced features for complex workflows.
ComfyUI - User Interface and Experience
User Interface Overview
The user interface of ComfyUI is crafted to be intuitive, flexible, and highly user-friendly, making it an excellent tool for individuals working with AI-driven image generation.Interface Layout and Navigation
ComfyUI features a revamped interface that streamlines workflow management. The main navigation elements are now more accessible, with the Manager Menu relocated to the top of the screen, providing easy access to all the familiar options from previous versions.Key Navigation Features
- The Workflows button, situated next to the ComfyUI logo on the top left, allows users to select default workflows, browse custom ones, or start with a blank workflow.
- A Disc Button enables users to save, save as, or export their workflows, ensuring project safety.
- The Queue Button, now at the top right, is where users execute their workflows to generate images, videos, or audio.
Node-Based Workflow
ComfyUI employs a node-based interface, which is highly modular and visual. Users can build and experiment with complex Stable Diffusion workflows by connecting various nodes, each representing a different operation or model. This visual programming approach makes it easy to prototype, test, and iterate on ideas without needing to write any code.Real-Time Feedback and Adjustments
The interface provides real-time visual feedback, allowing users to see the effects of their adjustments immediately. This feature is particularly useful for fine-tuning workflows, as users can adjust parameters and see the results instantly.Search and Accessibility
ComfyUI includes a search feature that helps users locate specific nodes quickly by entering keywords. This streamlines navigation, especially for advanced workflows that require multiple nodes or specific tasks.Workflow Management
The new interface enhances workflow management by allowing users to load and manage multiple workflows more effectively. Features like undo/redo tracking per workflow and the ability to reset the canvas view ensure that users can manage their projects efficiently.User-Friendly Design
Despite its advanced capabilities, ComfyUI is designed to be simple and accessible for users of all skill levels. The clear layout and organized tool sections make it easy for beginners to get started, while the flexibility and customizability cater to the needs of seasoned users.Additional Features
ComfyUI supports various image generation tasks, including background removal, object detection, and model fine-tuning. It also integrates with various AI models and plugins, such as ControlNet for Stable Diffusion 3 and flux, making it a versatile tool for different types of generative media.Conclusion
Overall, the user interface of ComfyUI is designed to be intuitive, flexible, and highly user-friendly, making it an excellent choice for anyone looking to generate AI-driven images and media efficiently. Its modular workflow design, real-time feedback, and extensive support for plugins and models ensure a seamless and productive user experience. ComfyUI - Key Features and Functionality
ComfyUI Overview
ComfyUI is a powerful tool in the Developer Tools AI-driven product category, offering a range of features that simplify and enhance the process of building and managing AI pipelines. Here are the main features and how they work:Graph-Based Workflow Design
ComfyUI uses an intuitive nodes/graph/flowchart interface that allows users to visualize and manipulate workflow components dynamically. This feature is particularly beneficial for designing advanced stable diffusion pipelines without the need for coding. Users can create, connect, and adjust nodes to build complex workflows in a visual and interactive manner.Diverse Model Support
ComfyUI supports a wide range of AI models, including those from Hugging Face, ControlNet, and other sources. Users can integrate various models into their projects, allowing for experimentation and the building of comprehensive AI solutions. This includes loading checkpoints and models directly through the interface, which streamlines the process of using multiple models in a single workflow.Asynchronous Queue Management
The tool features an asynchronous queue system that optimizes workflow management. This system allows users to run multiple models simultaneously, ensuring that workflows are managed efficiently and reducing the time spent on processing tasks.Smart Memory Optimization
ComfyUI includes smart memory management, which ensures efficient GPU utilization even with limited VRAM. This feature is crucial for running resource-intensive AI models without compromising performance.Real-Time Performance Metrics
ComfyUI provides real-time performance metrics, allowing users to monitor the performance of their workflows in real time. This helps in identifying bottlenecks and optimizing the workflow for better efficiency.Offline Capabilities
The tool offers offline capabilities, enabling users to operate without continuous downloads. Users can save and load workflows and models seamlessly, making it convenient to work on projects even without an internet connection.Model Merging and Other Functionalities
ComfyUI supports various functionalities such as embeddings, inpainting, and model merging. These features are essential for tasks like image generation, object detection, and other AI-related projects. The tool also includes custom nodes for specific tasks, such as video frame interpolation, noise control, and style alignment.New Interface and Workflow Management
The latest update to ComfyUI includes a revamped user interface that significantly improves workflow management. The new UI features a floating menu for quick navigation, undo/redo tracking per workflow, and streamlined management of multiple workflows. This update makes it easier for users to make adjustments to nodes, paths, or parameters.Deployment as APIs
ComfyUI allows users to save and deploy their AI workflows as APIs, making it easy to integrate these workflows into different applications and systems. This feature is particularly useful for deploying complex AI pipelines in various environments.Custom Nodes and Extensions
ComfyUI has a wide range of custom nodes and extensions available, such as AnimateDiff, ComfyUI-Gemini, and ComfyUI-KwaiKolorsWrapper, among others. These custom nodes extend the capabilities of ComfyUI, allowing users to perform specific tasks like video frame interpolation, style alignment, and more.AI Assistant Integration
The ComfyUI-AI-Assistant is an extension that integrates additional preprocessors and tools into the existing AI art setup. It helps in tasks such as converting sketches into detailed line art, adding color to drawings, and creating 3D models from 2D images. This integration enhances user interaction and automation within the ComfyUI environment.Conclusion
These features collectively make ComfyUI a versatile and efficient tool for building, managing, and deploying AI pipelines, catering to both beginners and experienced users in the field of AI development. ComfyUI - Performance and Accuracy
Evaluating the Performance and Accuracy of ComfyUI
Evaluating the performance and accuracy of ComfyUI in the context of AI-driven image generation involves several key aspects.
Performance Optimization
ComfyUI benefits significantly from integration with NVIDIA’s TensorRT, a high-performance deep learning inference library. This integration enhances the performance of AI models, particularly in text-to-image generation tasks.
- Faster Inference Times: TensorRT optimizes neural network models by fusing layers, reducing precision, and leveraging GPU capabilities, resulting in faster inference times and reduced latency.
- Mixed Precision Support: TensorRT supports FP16 and INT8 precision, which can improve performance without compromising accuracy.
- Efficient Workflows: Optimizing workflows, such as using fewer steps in stable diffusion and choosing the advanced sampler, can also speed up the rendering process. Separating the refiner model from the main workflow can further streamline the process.
Accuracy and Image Quality
While ComfyUI offers impressive performance enhancements, there are some limitations and areas for improvement regarding accuracy and image quality.
- Weighting System Issues: One significant limitation is the weighting system in ComfyUI. Users have reported that the current weighting method can lead to poor image quality, especially when using multiple embeddings or attempting to control specific aspects of the prompt. This can result in artifacts and reduced image fidelity compared to other tools like A1111.
- Prompt Control: The lack of a more versatile weighting system makes it difficult to emphasize certain parts of the prompt without degrading the image quality. This is a critical area that needs improvement to match the standards of other popular tools.
System Resource Management
To ensure optimal performance, managing system resources is crucial.
- Closing Unnecessary Software: Shutting down recording software, closing unused browser tabs, and using extensions like OneTab can free up GPU memory and other resources, allowing ComfyUI to perform more efficiently.
- Hardware Upgrades: Investing in a more powerful graphics card with sufficient VRAM can significantly improve rendering times and overall performance.
Customization and Extensibility
ComfyUI is praised for its freedom and extensibility, allowing users to tweak the tool to suit their workflows.
- Custom Nodes: There are various custom nodes available that extend ComfyUI’s capabilities, such as nodes for ControlNet, Gemini, and other advanced features. These nodes can simplify workflows and inspire creativity.
- Community Contributions: The open-source nature of ComfyUI means that limitations, such as the inferior inpainting editor compared to SD WebUI, can be addressed through community contributions and updates.
Conclusion
ComfyUI offers strong performance benefits, especially when integrated with TensorRT, and provides a high degree of customization and extensibility. However, it faces challenges with its weighting system and prompt control, which can affect image quality. Addressing these issues through updates or alternative weighting methods could significantly enhance the overall user experience and accuracy of the generated images.
ComfyUI - Pricing and Plans
The Pricing Structure for ComfyUI
ComfyUI, an AI-driven tool for image and video generation, has a pricing structure that varies depending on the service provider and the specific plans they offer. Here’s a breakdown of the pricing and features based on the available information:
InstaSD Pricing
InstaSD offers several plans for using ComfyUI:
Individual (Pay-As-You-Go)
- Cost: $0/month (pay-as-you-go GPU rentals)
- Features: Run ComfyUI Online instantly, any model, any node, GPU rental by the minute, basic ComfyUI API deployment, live chat support.
- Usage: Suitable for hobbyists, testing, and occasional users.
Pro
- Cost: $20/seat (coming soon)
- Features: Lower GPU pricing with a monthly plan, teams and user management, scalable ComfyUI API with priority access, basic privacy controls.
- Usage: Geared towards small businesses and frequent users. Users can join a waitlist for this plan.
Enterprise
- Cost: Custom
- Features: Fixed cost per inference, hundreds of concurrent ComfyUI API calls, custom privacy and retention policies, dedicated support and SLA, custom contract and enterprise features.
- Usage: Designed for enterprises and high-scale applications. Requires contacting sales for a custom quote.
Comfy.ICU Pricing
Comfy.ICU offers a different set of plans:
Free Option
- Cost: Free (5k credits upon signup, no credit card required)
- Features: Limited access to GPUs, normal priority in queue, low concurrency. This plan is good for initial exploration and basic usage.
BASIC
- Cost: $10/month
- Features: 100k credits (approx. 3 hours of GPU usage), normal priority in queue, low concurrency, includes L4 GPU with 24GB VRAM.
STANDARD
- Cost: $30/month
- Features: 300k credits (approx. 9 hours of GPU usage), higher priority in queue, higher concurrency, includes all Basic GPUs plus A100 40GB and L40S 48GB.
PRO
- Cost: $60/month
- Features: 600k credits (approx. 18 hours of GPU usage), highest priority in queue, highest concurrency, includes all Standard GPUs plus A100 80GB and H100 80GB.
PRO Plus
- Cost: $120/month
- Features: 1.2M credits (approx. 36 hours of GPU usage), highest priority in queue, highest concurrency, includes all Standard GPUs plus A100 80GB and H100 80GB.
PRO Max
- Cost: $240/month
- Features: 2.4M credits (approx. 72 hours of GPU usage), highest priority in queue, highest concurrency, includes all Standard GPUs plus A100 80GB and H100 80GB.
Each plan on Comfy.ICU offers increasing levels of GPU usage, priority, and concurrency, making them suitable for different scales of usage from basic to high-scale applications.
GPU Pricing
Both InstaSD and Comfy.ICU offer flexible GPU pricing based on performance and cost. For example, on InstaSD, the hourly costs range from $0.60 for an A5000 GPU to $4.00 for an H100 GPU.
In summary, the pricing for ComfyUI is structured to accommodate various user needs, from free and pay-as-you-go options to monthly and custom enterprise plans, each with varying levels of GPU access and features.
ComfyUI - Integration and Compatibility
Integration with External Tools
ComfyUI can function as a backend for external tools through the comfyui-tooling-nodes extension. This extension adds specialized nodes such as Load Image (Base64), Load Mask (Base64), Send Image (WebSocket), Crop Image, and Apply Mask to Image. These nodes simplify the process of sending and receiving images, applying masks, and inspecting models, making it particularly useful for AI artists working with image generation and manipulation.
Custom Nodes and Extensions
ComfyUI supports a wide range of custom nodes and extensions that enhance its functionality. For example, there are nodes for advanced CLIP text encoding, image segmentation, noise control, and post-processing effects. Additionally, there are integrations with tools like Blender, ControlNet preprocessors, and even specialized nodes for QR code workflows and multilingual translations.
Compatibility Across Versions
ComfyUI has multiple versions available to address compatibility issues. New versions often include new features, bug fixes, and performance enhancements, but these changes can sometimes break workflows created in older versions. To mitigate this, users can select from various versions of ComfyUI to ensure compatibility with their existing workflows. The version names are synchronized with the official version numbers from the GitHub repository.
Platform and Device Compatibility
ComfyUI is compatible with a variety of hardware configurations, particularly those with NVIDIA GPUs. All Nvidia GPUs from the last 10 years (since Maxwell/GTX 900) are supported, with the 3000 series and above recommended for the best performance. More VRAM is always preferable, and models can be inferred in fp16, bf16, or even fp8 for less memory and more speed at lower quality.
Front-End and Backend Flexibility
ComfyUI can be used with different front-ends, such as ComfyBox, which is a replacement front-end that uses ComfyUI as a backend. There are also various templates and integrations available, like ComfyUI Colabs and CushyStudio, which provide different interfaces and workflows based on ComfyUI.
Conclusion
In summary, ComfyUI offers extensive integration capabilities with external tools, a wide array of custom nodes and extensions, and compatibility across multiple versions and hardware configurations. This makes it a versatile and adaptable tool for AI-driven image generation and manipulation tasks.
ComfyUI - Customer Support and Resources
Customer Support
RunComfy Support
For users utilizing the ComfyUI cloud services through RunComfy, technical support is available via their Discord channel and email at hi@runcomfy.com. This support team is ready to assist with any questions or issues that may arise while using ComfyUI.
ComfySync Support
ComfySync, another service that assists with ComfyUI setup, offers support through chat, email, or phone. Their dedicated support team can help resolve technical issues and provide guidance on customizing workflows. They also offer personalized demos to showcase ComfyUI’s capabilities.
Additional Resources
Community Manual
The ComfyUI community manages a manual available on GitHub, which includes detailed sections on getting started, interface, core nodes, and various advanced features. This manual is a valuable resource for learning and contributing to the ComfyUI community.
Documentation
Official documentation for ComfyUI is hosted on GitHub, providing detailed guides on development, API references, and other technical aspects. Users can contribute to the documentation and preview changes locally using the Mintlify CLI.
Custom Nodes and Workflows
There is a curated collection of custom nodes for ComfyUI available on GitHub, which includes a wide range of extensions to extend ComfyUI’s capabilities. These nodes cover various tasks such as image and video processing, model management, and more.
Ultimate Guide
RunComfy provides an Ultimate Guide to ComfyUI, which is regularly updated. This guide is a comprehensive resource for answering most questions about using ComfyUI in the cloud environment.
Community Engagement
GitHub Repositories
The ComfyUI community is active on GitHub, where users can find and contribute to various repositories related to ComfyUI. These repositories include community-managed manuals, custom nodes, and other resources.
Discord Channel
RunComfy’s Discord channel is an active community where users can ask questions, share knowledge, and get support from both the community and the support team.
These resources and support options are designed to help users get the most out of ComfyUI, address any issues promptly, and stay updated with the latest features and workflows.
ComfyUI - Pros and Cons
Advantages of ComfyUI
ComfyUI offers several significant advantages that make it a valuable tool in the AI-driven product category, particularly for those working with Stable Diffusion models.Intuitive and User-Friendly Interface
ComfyUI features a node-based, graph/flowchart interface that simplifies the process of designing and managing AI workflows. This visual approach eliminates the need for coding, making it accessible to both beginners and experienced users.Comprehensive Features
The tool provides a wide range of features for workflow design, simulation, and analysis. It supports various Stable Diffusion models, including SD1.x, SD2.x, and SDXL, as well as specialized models like Stable Video Diffusion and Stable Audio.Customizable Configurations
Users can define and customize various configurations for each node, allowing for flexibility and adaptability in workflow design. This includes the easy incorporation of LoRA models, which enhances the image generation process.Offline Capabilities and Efficient Resource Management
ComfyUI allows users to operate offline, reducing the need for continuous downloads. It also features smart memory management and an asynchronous queue system, optimizing workflow management and ensuring efficient GPU utilization.Modularity and Extensibility
The tool’s modular design enables users to combine different components and techniques quickly. It also supports plugins and custom nodes, allowing users to extend the interface and functionalities according to their needs.Enhanced Visualization and Debugging
The visual nature of ComfyUI aids not only in creating workflows but also in debugging and optimization. Users can visually trace data flow and operations, quickly identifying bottlenecks and errors.Free and Open-Source
ComfyUI is available for free on GitHub, making it accessible to anyone without any associated costs.Disadvantages of ComfyUI
While ComfyUI offers many benefits, there are also some limitations to consider.Limited to Stable Diffusion Workflows
One of the main drawbacks is that ComfyUI is specifically designed for Stable Diffusion workflows and does not support other types of AI models.Lack of Advanced Customization Options
Despite its flexibility, ComfyUI lacks some advanced customization options that more experienced users might find limiting.Requires Familiarity with Workflow Concepts
While the interface is user-friendly, users still need some familiarity with workflow concepts to fully utilize ComfyUI’s features.Platform-Specific Limitations
ComfyUI may not support all operating systems equally, potentially restricting users to specific platforms or requiring additional setup.No Built-in Collaborative Features
ComfyUI does not have built-in collaborative features, although users can share workflow designs by exporting and importing workflow files. Overall, ComfyUI is a powerful and intuitive tool for designing and managing Stable Diffusion workflows, but it has some limitations that users should be aware of. ComfyUI - Comparison with Competitors
When comparing ComfyUI to other AI-driven developer tools, several key features and differences stand out:
ComfyUI Key Features
- ComfyUI is a visual programming environment based on nodes, allowing users to build complex image generation workflows without coding.
- It supports a wide range of image generation models, including Stable Diffusion, and offers extensibility through custom nodes and model integration.
- Users have precise control over generation parameters, and the tool supports img2img and inpainting, as well as CUDA integration for GPU acceleration.
- ComfyUI allows workflow saving and loading, and it integrates with Flux for workflow management. All computations are performed locally, ensuring data privacy and control.
Unique Features of ComfyUI
- Local Execution and Data Privacy: ComfyUI stands out by performing all computations locally, which ensures data privacy and control. This is particularly important for users who need to maintain confidentiality over their data and models.
- Visual Programming: The node-based interface makes it easier for users to construct image generation pipelines without needing to write code, which can be a significant advantage for those who prefer a more visual approach.
- Extensibility: Users can add custom nodes and integrate their own models or algorithms, providing a high degree of flexibility and customization.
Alternatives and Comparisons
Invoke AI
- Enterprise-Grade Security: Unlike ComfyUI, which relies on user-managed security, Invoke AI offers enterprise-level security features, including robust encryption and compliance with industry standards.
- Collaboration Tools: Invoke AI provides advanced collaboration tools with multi-user workspaces, version control, and real-time feedback mechanisms, which are not inherent in ComfyUI.
- Commercial Use: Invoke AI has commercially friendly licensing, allowing for unrestricted commercial use and modification, which might be more appealing for professional studios compared to ComfyUI’s open-source framework.
Windsurf IDE
- AI-Enhanced Development: Windsurf IDE integrates AI capabilities directly into the coding workflow, offering intelligent code suggestions, real-time collaboration, and deep contextual understanding of codebases. This is different from ComfyUI, which focuses on image generation workflows rather than general coding tasks.
- Multi-File Smart Editing: Windsurf IDE allows for efficient management of large projects with multi-file editing capabilities, which is not a feature of ComfyUI.
Amazon Q Developer
- Integration with IDEs: Amazon Q Developer seamlessly integrates with popular IDEs like Visual Studio Code and JetBrains, providing features such as code completion, inline code suggestions, and security vulnerability scanning. This is more focused on coding and development rather than image generation.
- AWS-Focused Assistance: Amazon Q Developer is tailored for developers working within the AWS ecosystem, offering assistance with AWS architecture and resources, which is not relevant to ComfyUI’s image generation focus.
JetBrains AI Assistant
- Code Intelligence: JetBrains AI Assistant offers smart code generation, context-aware completion, and proactive bug detection, all of which are geared towards coding and software development rather than image generation.
- Seamless IDE Integration: Like Amazon Q Developer, JetBrains AI Assistant integrates smoothly with JetBrains IDEs, providing features such as automated testing and documentation assistance, which are not part of ComfyUI’s functionality.
Conclusion
In summary, ComfyUI is unique in its focus on visual programming for image generation workflows and local execution for data privacy. However, for developers looking for AI tools integrated into their coding workflows or needing advanced collaboration and security features, alternatives like Invoke AI, Windsurf IDE, Amazon Q Developer, or JetBrains AI Assistant might be more suitable.
ComfyUI - Frequently Asked Questions
Here are some frequently asked questions about ComfyUI, along with detailed responses to each:
How to Install ComfyUI?
To install ComfyUI, you can follow several methods. For beginners, you can use GitHub Desktop: open GitHub Desktop, click “File” -> “Clone Repository,” paste the ComfyUI repository URL, and select the destination folder. Alternatively, you can use the command line by running git clone https://github.com/comfyanonymous/ComfyUI.git in your desired directory.
How to Change the Font Size in ComfyUI?
If you need to adjust the font size in ComfyUI, there is a step-by-step guide available. This guide explains how to change font sizes in different areas of the interface, helping you customize the UI to your preferences.
How to Change the Output Folder Location in ComfyUI?
To change the default output folder location in ComfyUI, you can follow a comprehensive guide. This guide walks you through the steps to set a new output folder, ensuring your generated images are saved where you want them.
Why Do ComfyUI and A1111 Generate Different Images with the Same Seed?
ComfyUI and Automatic1111 WebUI can generate different images even with the same seed due to differences in noise generation and prompt weight handling. This is explained in detail in the FAQ section, which helps clarify the underlying reasons for these differences.
How to Access ComfyUI from a Local Network?
If you want to set up ComfyUI for access over a local network, there is a guide available. This guide covers both Portable and Desktop versions of ComfyUI, helping you configure the server for local network access.
How to Manage Node Groups in ComfyUI Workflows?
For better node group management in workflows, you can explore alternatives to Fast Groups Muter in ComfyUI. The FAQ provides tips and a usage guide to help you manage node groups more effectively.
How to Enable the New Menu in ComfyUI?
To enable the new menu interface in ComfyUI, especially in versions v0.2.0 and above, there is a specific guide. This guide outlines the steps necessary to activate the new menu features.
What Are the Common Directory Operations in ComfyUI?
When working with ComfyUI, you might need to perform basic directory operations. You can use commands like cd /path/to/ComfyUI to change directories, ls to list files, and pwd to show the current path. These commands are essential for managing your ComfyUI setup.
Where Should I Place Model Files in ComfyUI?
Model files in ComfyUI need to be placed in specific directories. Checkpoint models go into models/checkpoints, LoRA models into models/loras, VAE models into models/vae, and embedding models into models/embeddings. Following this structure ensures that your models are loaded correctly.
How Can I Get Help with ComfyUI?
If you encounter issues or have questions about ComfyUI, you can seek help from several sources. These include the official ComfyUI GitHub Issues, ComfyUI Discord, Reddit r/ComfyUI, and GitHub Discussions. These communities and resources are available to help you find solutions and share experiences.