Instructions to use TheWorstIsNot/ah with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TheWorstIsNot/ah 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/ah") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from TheWorstIsNot/ah: direct link, hf CLI and curl.
- Browser
- Download file 836 Bytes
-
https://huggingface.co/TheWorstIsNot/ah/resolve/main/README.md
- Command line
-
hf download hf://TheWorstIsNot/ah/README.md
-
curl -L -o README.md https://huggingface.co/TheWorstIsNot/ah/resolve/main/README.md
836 Bytes
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: '-'
output:
url: images/_85f6ca56-a3c0-4e19-8262-92aa29fb8e29.jpg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Ahegao, crossed eyes, tongue out, dr00ling, drool, s1de
ah

- Prompt
- -
Trigger words
You should use Ahegao to trigger the image generation.
You should use crossed eyes to trigger the image generation.
You should use tongue out to trigger the image generation.
You should use dr00ling to trigger the image generation.
You should use drool to trigger the image generation.
You should use s1de to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.