Instructions to use xcx123456/syn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xcx123456/syn with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("xcx123456/syn", torch_dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c1cd8820befcd13c217b9e7327fe2b7c5bdda76e895869bfe94a307feb8af29a
- Size of remote file:
- 61.3 MB
- SHA256:
- 2337069a5412793efc85a90555cb01d448094096517f9076687d86354879aca0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.