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:
- 7e653dad8ce3a4e8d70f6c6d7a1d43daf95f07f2f453de9e7070f338ffe4846d
- Size of remote file:
- 455 MB
- SHA256:
- ef533f1ab153d5896e83d6aa50d66483e82cae2d908606fc0f92959b14ef020c
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