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ComfyDeploy: How comfyui-prompt-enhancer works in ComfyUI?

What is comfyui-prompt-enhancer?

A crazy node that pragmatically just enhances a given prompt with various descriptions in the hope that the image quality just increase and prompting just gets easier.

How to install it in ComfyDeploy?

Head over to the machine page

  1. Click on the "Create a new machine" button
  2. Select the Edit build steps
  3. Add a new step -> Custom Node
  4. Search for comfyui-prompt-enhancer and select it
  5. Close the build step dialig and then click on the "Save" button to rebuild the machine

Ollama Prompt Enhancer

A crazy node that pragmatically just enhances a given prompt with various descriptions in the hope that the image quality just increase and prompting just gets easier.

Hints

This node requires an N-th amount of VRAM based on loaded LLM on top of stable diffusion or flux. <br> Since ollama keeps a given model loaded via olama run <model> as long the instance is running.

So for example using SD1.5 ~ 5GB VRAM + Mistral:3B uses around 16 GB VRAM (this is just predicted on my system under windows). <br> Have to be careful when loading too many models since it overloads the vram and you must probably quit ollama and restart the instance. <br> Ollama must be running or else the node will not be found / visible when starting comfyui.

Features:

  • Simple node, just enter text and go
    • INPUT: CLIP
    • FIELD:
      • model (this is the model liste loaded from ollama)
      • positive text (llm enhanced from selected model)
      • negative text (llm enhanced from selected model)
    • OUTPUT:
      • ENHANCED_PROMPT
      • NEGATIVE_PROMPT (atleast what the llm determines, the one selected)
      • ORIGINAL_PROMPT

Installation

You need to have ollama installed from https://ollama.com before continue.<br> When within your custom python environment go to the custom_nodes/comfyui-prompt-enhancer folder and install via pip install -r requirements requirements.txt. <br>If you feeling lucky you can also install via pip install ollama That should be it.

Example

Example