Instructions to use LandonAbundre/LLTits with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LandonAbundre/LLTits 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("LandonAbundre/LLTits") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
LLTits

- Prompt
- -
Model description
Very large and naturally very rounded. Somehow fighting and staving off the effects of gravity to create some truly delicious knockers.
Trigger words
You should use LLTits to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for LandonAbundre/LLTits
Base model
black-forest-labs/FLUX.1-dev