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:
- 1afc016471fa33a30ce46cc17c7969111940666840767d1b2c96e5e5d785ab04
- Size of remote file:
- 1.45 GB
- SHA256:
- e4bae2c564620d4c995e3145c991f9385c6cfe6616edf8e61b364413a23f673f
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