Instructions to use Capsekai/Jan2024-Backups with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Capsekai/Jan2024-Backups with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Capsekai/Jan2024-Backups", 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:
- f33e8d515fe4aa6b3610f4ba935d265f41f44398219894000c39d77da12ce404
- Size of remote file:
- 2.13 GB
- SHA256:
- 11c0055383d89f0b9a40d1194fff465642faabaf8305e9061ccd38b1881ed605
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