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https://github.com/Zuellni/ComfyUI-Custom-Nodes
Custom nodes for ComfyUI.
https://github.com/Zuellni/ComfyUI-Custom-Nodes
comfyui deepfloyd stable-diffusion
Last synced: 8 days ago
JSON representation
Custom nodes for ComfyUI.
- Host: GitHub
- URL: https://github.com/Zuellni/ComfyUI-Custom-Nodes
- Owner: Zuellni
- License: mit
- Archived: true
- Created: 2023-05-05T10:45:35.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2023-09-19T12:11:26.000Z (about 1 year ago)
- Last Synced: 2024-08-02T03:07:12.917Z (3 months ago)
- Topics: comfyui, deepfloyd, stable-diffusion
- Language: Python
- Homepage:
- Size: 197 KB
- Stars: 44
- Watchers: 3
- Forks: 7
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- awesome-comfyui - Zuellni's ComfyUI-Custom-Nodes
README
# Custom nodes for [ComfyUI](https://github.com/comfyanonymous/ComfyUI).
## Disclaimer
Please note that this repository is now archived and will no longer be maintained or updated.
IF has a lot of issues and I'm no longer interested in dealing with it. Most of the other nodes have either already been added to ComfyUI in some form or exist somewhere else. I will move the aesthetic nodes to a separate repository at some point.
## Installation
Clone the repository to `custom_nodes` in your ComfyUI directory:
```
git clone https://github.com/Zuellni/ComfyUI-Custom-Nodes custom_nodes\Zuellni
```
A `config.json` file will be created on first run in the extension's directory.
Requirements should be installed automatically but if that doesn't happen you can install them with:
```
pip install -r custom_nodes\Zuellni\requirements.txt
```
You can skip the installation if you don't wish to use the `IF` nodes.
Run ComfyUI once, wait till the config file gets created, then quit and set `IF` to `false` under `Load Nodes` in `config.json`.
To enable automatic updates set `Update Repository` to `true` in the config. You can also update with:
```
git -C custom_nodes\Zuellni pull
```
## Aesthetic Nodes
Name | Description
:--- | :---
Aesthetic Loader | Loads models for use with `Aesthetic Select`.
Aesthetic Select | Returns `count` best tensors based on [aesthetic](https://huggingface.co/cafeai/cafe_aesthetic)/[style](https://huggingface.co/cafeai/cafe_style)/[waifu](https://huggingface.co/cafeai/cafe_waifu)/[age](https://huggingface.co/nateraw/vit-age-classifier) classifiers. If no models are selected then acts like `LatentFromBatch` and returns a single tensor with 1-based index. Setting `count` to 0 stops processing for connected nodes.
## IF Nodes
A poor man's implementation of [DeepFloyd IF](https://huggingface.co/DeepFloyd). Models will be downloaded automatically, but you will have to agree to the terms of use on the site, create an access token, and [log in](https://huggingface.co/docs/huggingface_hub/quick-start#login) with it.
Name | Description
:--- | :---
IF Load | Loads models for use with other `IF` nodes. `Device` can be used to move the models to specific devices, eg `cpu`, `cuda`, `cuda:0`, `cuda:1`. Leaving it empty enables offloading.
IF Encode | Encodes prompts for use with `IF Stage I` and `IF Stage II`.
IF Stage I | Takes the prompt embeds from `IF Encode` and returns images which can be used with `IF Stage II` or other nodes.
IF Stage II | As above, but also takes `Stage I` or other images and upscales them x4.
IF Stage III | Upscales `Stage II` or other images using [Stable Diffusion x4 upscaler](https://huggingface.co/stabilityai/stable-diffusion-x4-upscaler). Doesn't work with `IF Encoder` embeds, has its own encoder accepting `string` prompts instead. Setting `tile_size` allows for upscaling larger images than normally possible.
## Image Nodes
Name | Description
:--- | :---
Image Batch | Loads all images in a specified directory, including animated gifs, as a batch. The images will be cropped/resized if their dimensions aren't equal.
Image Saver | Saves images without metadata in a specified directory. Allows saving a batch of images as a grid or animated gif as well.
## Multi Nodes
Nodes that work with multiple types of tensors - images, latents, and masks.
Name | Description
:--- | :---
Multi Crop | Center crops/pads tensors to specified dimensions.
Multi Noise | Adds random noise to tensors.
Multi Repeat | Allows for repeating tensors `batch_size` times.
Multi Resize | Similar to `LatentUpscale` but uses `scale` instead of width/height to resize tensors.
## Text Nodes
Experimental nodes utilizing [text-generation-webui](https://github.com/oobabooga/text-generation-webui) to generate and manipulate prompts. Webui needs to be running with `--api` and a preloaded model since it's not possible to change it through the API currently.
Example startup command for [WizardLM](https://huggingface.co/TheBloke/WizardLM-7B-uncensored-GPTQ):
```
python server.py --api --model llama-7b-4bit-128g-wizard
```
Name | Description
:--- | :---
Text Loader | Used as initializer for `Text Prompt` so you don't have to specify the same params multiple times. Set your API endpoint with `api`, instruction template for your loaded model with `template` (might not be necessary), and the character used to generate prompts with `character` (format depends on your needs).
Text Prompt | Queries the API with params from `Text Loader` and returns a `string` you can use as input for other nodes like `CLIP Text Encode`.
Text Condition | Returns input tensors and `true` if variables match some condition, `false` otherwise. Will interrupt the generation if condition is not met and `interrupt` set to `true`.
Text Format | Joins input `string` with multiple variables and returns a single output `string`. Specifying `var_1-5` somewhere in the input field will replace it with said variable's value.
Text Print | Prints `string` input to console for debugging purposes (or just to see what sort of prompt your LLM came up with).