Instructions to use TheWorstIsNot/gunge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TheWorstIsNot/gunge with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("TheWorstIsNot/gunge") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
|
Download README.md from TheWorstIsNot/gunge: direct link, hf CLI and curl.
- Browser
- Download file 633 Bytes
-
https://huggingface.co/TheWorstIsNot/gunge/resolve/main/README.md
- Command line
-
hf download hf://TheWorstIsNot/gunge/README.md
-
curl -L -o README.md https://huggingface.co/TheWorstIsNot/gunge/resolve/main/README.md
633 Bytes
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: '-'
output:
url: images/df0r49f-b725836d-7ed0-44c1-9f1f-504277751a59.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: sploshed, gunge, slimy
gunge

- Prompt
- -
Trigger words
You should use sploshed to trigger the image generation.
You should use gunge to trigger the image generation.
You should use slimy to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.