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:
- 676451ef03a4167d698b4d206b7a6ad08b167dd53e86bc75f54d14bbb30a858d
- Size of remote file:
- 6.88 GB
- SHA256:
- 60ed9887c3716b6bdbd9e45a9033ea48ea9f4c76f5c7465b3f5a7279e604dca2
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