Instructions to use Shero448/stuck with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Shero448/stuck with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Liberata/illustrious-xl-v1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Shero448/stuck") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from Shero448/stuck: direct link, hf CLI and curl.
- Browser
- Download file 414 Bytes
-
https://huggingface.co/Shero448/stuck/resolve/main/README.md
- Command line
-
hf download hf://Shero448/stuck/README.md
-
curl -L -o README.md https://huggingface.co/Shero448/stuck/resolve/main/README.md
414 Bytes
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/Sin título.png
text: '-'
base_model: Liberata/illustrious-xl-v1.0
instance_prompt: through wall
wall

- Prompt
- -
Trigger words
You should use through wall to trigger the image generation.
Download model
Download them in the Files & versions tab.