Instructions to use davidberenstein1957/Sana_600M_512px_diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Pruna AI
How to use davidberenstein1957/Sana_600M_512px_diffusers with Pruna AI:
from pruna import PrunaModel pip install -U diffusers transformers accelerate
from pruna import PrunaModel import torch # switch to "mps" for apple devices pipe = PrunaModel.from_pretrained("davidberenstein1957/Sana_600M_512px_diffusers", 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:
- f8a0f675ce4aec5d7da56d2a9ee00bbc6157335ca10a7868ff4ced737b64bf10
- Size of remote file:
- 892 MB
- SHA256:
- 34cf55d934309e0ba9f091ade0084ef5f7e2cd21e7ecc480f4329af46e990462
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.