Instructions to use pixologyds/xcat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use pixologyds/xcat 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("pixologyds/xcat") prompt = "wide and low angle, cinematic, fashion photography. xcat sitting on floor wearing a full size white t-shirt with big letters \\\"Catherine Tresa\\\" , violet jeans, nice blue covered high heels and a gracious look on her face. The background is a color gradient, her face is lit with cool white light, studio setting <lora:xcat-flux-lora:1>" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Ctrl+K