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:
- 57d944796e1699cd1682b1bed85344ddec36d8cded2a9d3762c1af66cf29a117
- Size of remote file:
- 910 MB
- SHA256:
- d53daec6f95208e91d4a876de6e6645088b72b0f39e408e87bbed2b362f4f466
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