Instructions to use YeBhoneLin10/Styles with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use YeBhoneLin10/Styles with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("YeBhoneLin10/Styles") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
widget:
- text: '-'
output:
url: images/images (2).jpeg
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: null
Lora
.jpeg)
- Prompt
- -
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.