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:
- 8de71fe7d69b9cf0ce3b8b7156c342e3f1e3cec0bc8928af2d4f8ebec9739116
- Size of remote file:
- 910 MB
- SHA256:
- e1f2b5d428b5f923cf10a03566d74b1585428480226fa7a23628657a2c7b65bb
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