Instructions to use rocifier/painterly with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rocifier/painterly with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("rocifier/painterly") prompt = "Mountain,lake water,Boat,Forest,bichu,oil painting,masterpiece,best quality,HDR.UHD.4K,8K,64K,<lora:bichu0612:0.6>,<lora:油画笔触Oil brushstrokes:0.7>" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Ctrl+K