Instructions to use BiomedSyn/ours with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BiomedSyn/ours with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("BiomedSyn/ours", 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:
- ab0646366bf1171e547d72673bdca0c10658c6c22f8c02b10207609e6e368263
- Size of remote file:
- 2.89 GB
- SHA256:
- 5d81ced0cc834107a2c913581f7423846764fdd1b178e92ffe0017087d2866c3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.