Instructions to use craterink/ssense-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use craterink/ssense-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("craterink/ssense-diffusion", 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:
- 88a928a4781254ec0b44f2f88e135f1b9b3401bfd1d0854e131f8c4d1342a873
- Size of remote file:
- 455 MB
- SHA256:
- 2eafaf2bc85f89a45d46478edecc08c7b1a3031600c222baa314214c89783e86
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.