Instructions to use cloudyterry/X-VTBarena with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cloudyterry/X-VTBarena 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("cloudyterry/X-VTBarena") prompt = "Retro realistic photo, portrait of a child in a New Year's costume standing in front of the VTB Arena building in Moscow, winter, lots of snow, cute detailed face, a decorated Christmas tree on the left of the child, the stadium building on the right, the child is smiling, New Year's atmosphere, garlands, decorations, bokeh" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Ctrl+K