Instructions to use ownt/pathology-text-vae with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ownt/pathology-text-vae with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ownt/pathology-text-vae", 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:
- 4f3f36a15e83c7ebb4b0fab25f5b24288d8bb85bfa54ced2d28c097108e83046
- Size of remote file:
- 10.1 GB
- SHA256:
- 9fb155037ed2b9e008ff00c67f3de1b6071499e9172dd502a8017c3a6b3e6308
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