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:
- 1c38e39a833bbce77a946af558d6371fd25de65142b4a79cb2b68ad21e82c89d
- Size of remote file:
- 14.4 MB
- SHA256:
- cc2e2e1b3a4f4e9677b022b7295d39c502198f3ffec9db52bcbcd90e7672ac98
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.