Instructions to use Victorr26/0402026checkingdiff with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Victorr26/0402026checkingdiff with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Victorr26/0402026checkingdiff", 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:
- b952b0e631c8335287e9b7420bc8c93278905e4613a5db3cd8f751fe2645b3bc
- Size of remote file:
- 74.2 MB
- SHA256:
- b5d3b5a64daea5b708681d9c08300db1e5881081c015130a5b6bd8238f2d184e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.