Instructions to use p1atdev/pvcxl-v1-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use p1atdev/pvcxl-v1-lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cagliostrolab/animagine-xl-3.0-base", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("p1atdev/pvcxl-v1-lora") prompt = "1girl, medium hair, gothic dress, there are many red flowers in the room, red theme, upper body, looking at viewer, masterpiece, best quality, newest, late" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Ctrl+K