Instructions to use sweetcocoa/tiny-cosmos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sweetcocoa/tiny-cosmos with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sweetcocoa/tiny-cosmos", 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:
- 060521f2e9180cbc651bf8d552d3347e49c0c034013222d01a50412d213333af
- Size of remote file:
- 1 MB
- SHA256:
- 2fffb93facffb9d20375c5ee33022c08540e0e3a10787f883410574eb7227fe7
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