This repository offers various extension nodes for ComfyUI. Nodes here have different characteristics compared to those in the ComfyUI Impact Pack. The Impact Pack has become too large now...

Nodes

Lora Block Weight - This is a node that provides functionality related to Lora block weight.
- This provides similar functionality to sd-webui-lora-block-weight
- Lora Loader (Block Weight): When loading Lora, the block weight vector is applied.
  - In the block vector, you can use numbers, R, A, a, B, and b.
  - R is determined sequentially based on a random seed, while A and B represent the values of the A and B parameters, respectively. a and b are half of the values of A and B, respectively.
- XY Input: Lora Block Weight: This is a node in the Efficiency Nodes' XY Plot that allows you to use Lora block weight.
  - You must ensure that X and Y connections are made, and dependencies should be connected to the XY Plot.
  - Note: To use this feature, update Efficient Nodes to a version released after September 3rd.
SEGS Supports nodes - This is a node that supports ApplyControlNet (SEGS) from the Impact Pack.
- OpenPose Preprocessor Provider (SEGS): OpenPose preprocessor is applied for the purpose of using OpenPose ControlNet in SEGS.
  - You need to install ControlNet Auxiliary Preprocessors to use this.
- Canny Preprocessor Provider (SEGS): Canny preprocessor is applied for the purpose of using Canny ControlNet in SEGS.
A1111 Compatibility support - These nodes assists in replicating the creation of A1111 in ComfyUI exactly.
- KSampler (Inspire): ComfyUI uses the CPU for generating random noise, while A1111 uses the GPU. One of the three factors that significantly impact reproducing A1111's results in ComfyUI can be addressed using KSampler (Inspire).
  - Other point #1 : Please make sure you haven't forgotten to include 'embedding:' in the embedding used in the prompt, like 'embedding:easynegative.'
  - Other point #2 : ComfyUI and A1111 have different interpretations of weighting. To align them, you need to use BlenderNeko/Advanced CLIP Text Encode.
Prompt Support - These are nodes for supporting prompt processing.
- Load Prompts From File (Inspire): It sequentially reads prompt files from the specified directory. The output it returns is ZIPPED_PROMPT.
  - Specify the directories located under ComfyUI-Inspire-Pack/prompts/
- Unzip Prompt (Inspire): Separate ZIPPED_PROMPT into positive, negative, and name components.
  - positive and negative represent text prompts, while name represents the name of the prompt. When loaded from a file using Load Prompts From File (Inspire), the name corresponds to the file name.
- Zip Prompt (Inspire): Create ZIPPED_PROMPT from positive, negative, and name_opt.
  - If name_opt is omitted, it will be considered as an empty name.

Credits

ComfyUI/ComfyUI - A powerful and modular stable diffusion GUI.

ComfyUI/sd-webui-lora-block-weight - The original idea for LoraBlockWeight came from here, and it is based on the syntax of this extension.

LucianoCirinoefficiency-nodes-comfyui - The XY Input provided by the Inspire Pack supports the XY Plot of this node.

Fannovel16/comfyui_controlnet_aux - The wrapper for the controlnet preprocessor in the Inspire Pack depends on these nodes.