Work in Progress.
Simplified workflow, VAE inclusion in KSampler
Workflow automation, e.g., changing checkpoints
Logical process for testing elements like Controlnet
Rethinking workflows with switches
This node is based on frame-to-frame generation (img after img).
This means it is VRAM efficient and suitable for GPUs with low VRAM.
Additional: Chaosaiart-Node is in the early phase,
more nodes will be added + Bug fixes + changes.
1. Install
ComfyUI
2. Download
Chaosaiart-Nodes
3. Unzip Chaosaiart-Nodes with
7zip
4. Grab the Unzipped "Chaosaiart-Nodes" folder
5. go into ComfyUI Folder, then "../comfyUI/custom_nodes/" place it in.
6. Install Requirements
Windows:
Use the Install_windows file in the "Chaosaiart-Nodes" folder
Linux use:
pip install opencv-python & pip install tqdm
If you are using a virtual environment (venv), make sure it is activated before installation.
Open ComfyUI, Load or Drag & Drop one of the
workflows.
1. Install
ComfyUI
2. Install
ComfyUI Manager
3. Open Manager, Use "Install via Git URL".
4. Command:
https://github.com/chaosaiart/Chaosaiart-Nodes
Open ComfyUI, Load or Drag & Drop one of the
workflows.
This workflow has integrated the cache of the
Cache_Img Workflow in KSampler.
Additionally, KSampler has been modified to yield better results for animations.
For example, the method "Fixed 0.5" has been optimized for checkpoint sd1.5.
Afterwards, you must stitch the images into a video using
img2video Basic Workflow
Same workflow as
txt2video, but with image input.
In this workflow, the 🔶 Ksampler
txt &
img2video v1 has been dissected into its individual components.
This allows you to see what it consists of and enables you to adjust the values yourselves.
Credits to pythongosssss for their
custom node without it, my info display would have been more challenging.
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