This repository includes a set of custom nodes for ComfyUI that allow you to:
- Convert your workflows into nodes
- Chain your workflows together
- Bonus: a node to integrate LipSync Studio v0.6 via API (third-party application)
- 🤔 Why, when the 'convert to group node' option already exists?
- 🚀 Updates
- 🔗 requirements
- 💻 Installation
- 🕸️ Nodes
- 🐍 Usage
- 💪 Special things to know
- 📺 Examples
- 😎 Contributing
- 🙏 Appreciation
- 📜 License
- ☕ Support
The idea came from the frustration users experienced with the many limitations and bugs in ComfyUI’s group nodes. While group nodes can seem useful for organizing nodes hierarchically, their actual use often leads to issues. Here are some of the major flaws I aimed to address:
- Instability with primitive nodes: Primitive nodes are often dropped when grouped, making them ineffective in complex workflows.
- Issues with dynamic nodes: Dynamic nodes, such as those with switches or conditional behaviors, tend to lose connections when grouped.
- Incompatibility with ControlNet: When integrating ControlNet nodes into group nodes, the order of inputs and outputs is crucial to avoid reversing results.
- Complex node maintenance: Managing nodes in ComfyUI can quickly become overwhelming, especially when you need to modify the same function multiple times.
By solving these problems, my tool makes node management more intuitive, stable, and efficient, allowing you to focus on what matters: creating.
2024.11.01 Initial version features :
- 💪 Convert your workflows into nodes
- ⛓️ Chain your workflow
- 👄 Extra Node that use LipSync Studio v0.6
- comfyui: Be sure to have a ComfyUI front-end version of at least 1.3.11. If not, update ComfyUI to the latest version. To find the front-end version, go to ComfyUI settings (the gear icon), click "About," and check the version at the top of the page.
- Go to the ComfyUI Manager and click Custom Nodes Manager.
- search for FlowChain and click Install.
- Install Git
- Go to folder ..\ComfyUI\custom_nodes
- Run cmd.exe
Windows:
Variant 1: In folder click panel current path and input cmd and press Enter on keyboard
Variant 2: Press on keyboard Windows+R, and enter cmd.exe open window cmd, enter cd /d your_path_to_custom_nodes, Enter on keyboard
- Then do :
git clone https://github.com/numz/Comfyui-FlowChain.git
After this command be created folder Comfyui-FlowChain
- Go to the folder:
cd Comfyui-FlowChain
- Then do:
pip install -r requirements.txt
- Run Comfyui...
- Load a workflow in workflows list. This field will show all workflows saved in the comfyui user folder: ComfyUI\user\default\workflows\api, if you add a new workflow in this folder you have to refresh UI (F5 to refresh web page) to see it in the workflows list.
- Workflows have to be saved as API format of comfyui, but save it also in normal format because "api formal file" can't be loaded in comfyui as usually.
If you don't see "Export (API format)" options in Comfyui do this :
- go to Settings
- Activate the Dev Mode options
-You can also Import the file by "copy/paste" your workflow path in "workflow_api_path" and click import, that will add your workflow in the comfyui api path.
-
Allow to declare inputs in your workflow.
-
Types available : "IMAGE", "MASK", "STRING", "INT", "FLOAT", "LATENT", "BOOLEAN", "CLIP", "CONDITIONING", "MODEL", "VAE"
-
Give a Name and select the type.
-
Default value is used when debugging your workflow or if you don't plug an input into the Workflow node.
- Allow to declare outputs in your workflow.
- Types available : "IMAGE", "MASK", "STRING", "INT", "FLOAT", "LATENT", "BOOLEAN", "CLIP", "CONDITIONING", "MODEL", "VAE"
- Give a Name and select the type.
- Default value is used to connect the output.
- Usually associated with a boolean input plugged on "continue_workflow", allow to "Stop" a workflow if "continue_workflow" is False.
- Types available : "IMAGE", "LATENT"
- Give a Name and select the type.
- During development of your workflow, If **continue_worflow" is False it will let pass only 1 image/latent, and if True it will let pass all images/latents.
- But When a workflow is loaded into the "workflow" Node, which contain a "Workflow Continue" node, it will be delete if continue_workflow is False. That allow to create conditional situation where you want to prevent computation of some parts.
- Extra Node that allow to use third-party app Lipsync Studio v0.6 Via it's API
- Inputs:
- frames: Images to compute.
- audio: Audio to add.
- faceswap_image: An image with a face to swap.
- lipsync_studio_url: usually http://127.0.0.1:7860
- project_name: name of your project.
- face_id: id of the face you want to lipsync and faceswap.
- fps: frame per second.
- avatar: Will be used create a driving video, 10 avatars are available, each give different output result.
- close mouth before Lip sync: Allow to close the mouth before create the lip sync.
- quality: Can be Low, Medium, High, in High gfpgan will be used to enhance quality output.
- skip_first_frame: number of frames to remove at the beginning of the video.
- load_cap: number of frames to load.
- low vram: allow to decrease VRAM consumption for low pc configuration.
Project will be automatically created into your Lipsync Studio projects folder. You can then load it into studio and work directly from studio if the output not good enough for you.
the "🪛 Switch" nodes from Crystools have a particular place in workflow Node
Let's illustrate this with an example:
Here we want to choose between video1 or video2. It depends on the boolean value in Switch Image Node. The issue here is that both videos will be loaded before Switch. To prevent both videos from being loaded, the "workflow node" will check the boolean value, remove the unused node, and directly connect the correct value to the preview image.
This gives you the ability to create truly conditional cases in your workflows, without computing irrelevant nodes.
Coming soon
We welcome contributions to this project. When submitting pull requests, please provide a detailed description of the changes. see CONTRIBUTING for more information.
- Jedrzej Kosinski : For the code quality that really inspired me during development.
this project is open-source effort that is free to use and modify. I rely on the support of users to keep this project going and help improve it. If you'd like to support me, you can make a donation on my buy me a coffe or Patreon page. Any contribution, large or small, is greatly appreciated!
Your support helps me cover the costs of development and maintenance, and allows me to allocate more time and resources to enhancing this project. Thank you for your support!
- The code in this repository is released under the MIT license as found in the LICENSE file.