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:
- 417001de61bacf28904ff15d86649ec696c77363811c5addcf704eb44e4e8fd3
- Size of remote file:
- 2.89 GB
- SHA256:
- 786eb3d2f8dea7db54925cf5e7fca3219d529442dd77a473ad40eb9c12d713e7
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