Diffusers
Safetensors
English
histopathology
he-staining
breast-cancer
diffusion
counterfactuals
explainability
film
conditional-image-generation
Instructions to use a12donhf/CPathOGen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use a12donhf/CPathOGen with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("a12donhf/CPathOGen", 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
Download examples/paper_tile/reference_generated.png from a12donhf/CPathOGen: direct link, hf CLI and curl.
- Browser
- Download file 500 kB
-
https://huggingface.co/a12donhf/CPathOGen/resolve/main/examples/paper_tile/reference_generated.png
- Command line
-
hf download hf://a12donhf/CPathOGen/examples/paper_tile/reference_generated.png
-
curl -L -o reference_generated.png https://huggingface.co/a12donhf/CPathOGen/resolve/main/examples/paper_tile/reference_generated.png
500 kB

- Xet hash:
- 30761563b5972f8314f6bbfd17be6a2e7fd5c93ecc6566d774015157e135ecd0
- Size of remote file:
- 500 kB
- SHA256:
- f3435a2fd955a6e0442021dc61ee3a5dd749775a3d4d2704836da34ff5c5fee7
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