Instructions to use thatboymentor/Smooth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use thatboymentor/Smooth with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("thatboymentor/Smooth") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/hf_20260214_095606_950be1e0-fc06-4629-aeff-b6cb26e5dd16.png
text: '-'
- output:
url: images/hf_20260214_110352_37a2ccb5-6219-4748-b77a-0c9dc647e6ed.png
text: '-'
base_model: ''
instance_prompt: null
license: bigscience-bloom-rail-1.0
smoothloras

- Prompt
- -

- Prompt
- -
Download model
Download them in the Files & versions tab.