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 assets/pipeline.png from a12donhf/CPathOGen: direct link, hf CLI and curl.
- Browser
- Download file 431 kB
-
https://huggingface.co/a12donhf/CPathOGen/resolve/main/assets/pipeline.png
- Command line
-
hf download hf://a12donhf/CPathOGen/assets/pipeline.png
-
curl -L -o pipeline.png https://huggingface.co/a12donhf/CPathOGen/resolve/main/assets/pipeline.png
431 kB

- Xet hash:
- 792ca5591ca6ab013967b3f7ef5c13bbc84a35de430eaf6ca9d2a36dc1b47645
- Size of remote file:
- 431 kB
- SHA256:
- 32e4091b69c9403370e1ab5fddba1089c85b962bf02ab936303ac358316e4b72
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