TSC b1a9fb1416 Improve WebSocket error handling and connectivity
- Introduced `handle_websocket_failure()` to consolidate error handling and messaging.
- Removed redundant `websocket_status` checks in the server initialization function.
- Enhanced the `send_command_to_frontend()` function to handle potential WebSocket failures.
- Ensured error messages related to WebSocket failures are displayed only once.
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Efficiency Nodes for ComfyUI

A collection of ComfyUI custom nodes to help streamline workflows and reduce total node count.

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Efficient Loader
  • A combination of common initialization nodes.
  • Able to load LoRA and Control Net stacks via its 'lora_stack' and 'cnet_stack' inputs.
  • Can cache multiple Checkpoint, VAE, and LoRA models. (cache settings found in config file 'node_settings.json')
  • Used by the XY Plot node for many of its plot type dependencies.

Ksampler & Ksampler Adv. (Efficient)
  • Modded KSamplers with the ability to live preview generations and/or vae decode images.
  • Used for running the XY Plot script. ('sampler_state' = "Script")
  • Can be set to re-output their last outputs by force. ('sampler_state' = "Hold")

       

XY Plot
  • Node that allows users to specify parameters for the Efficient KSampler's to plot on a grid.

Image Overlay
  • Node that allows for flexible image overlaying. Works also with image batches.

SimpleEval Nodes
  • A collection of nodes that allows users to write simple Python expressions for a variety of data types using the "simpleeval" library.

       

Examples:

  • HiResFix using the Efficient Loader & Ksampler (Efficient)
  • 2D Plotting using the XY Plot & Ksampler (Efficient) nodes
  • Photobashing using the Image Overlay node

Dependencies

Dependencies are automatically installed during ComfyUI boot up.

Install:

To install, drop the "efficiency-nodes-comfyui" folder into the "...\ComfyUI\ComfyUI\custom_nodes" directory and restart UI.

Description
A collection of ComfyUI custom nodes.- Awesome smart way to work with nodes!
Readme GPL-3.0 331 MiB
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