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:
- c099e4cced57aadd138528e223f6a7a239e85eff0b8e80e06a6fc1671362c444
- Size of remote file:
- 356 MB
- SHA256:
- a234ae73c8b337c956de0ea6de5252d4c6ff81c4941ee6de5a91c37c46fd3b33
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