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
File size: 600 Bytes
f6f8194 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | {
"area_mean": -0.09236620366573334,
"area_var": -0.4095771014690399,
"eccentricity_mean": -1.2148321866989136,
"eccentricity_var": -0.3638562858104706,
"solidity_mean": 1.5003626346588135,
"solidity_var": -1.0003763437271118,
"perimeter_mean": -0.141899973154068,
"perimeter_var": -0.5273236632347107,
"grad_mean": 0.37052053213119507,
"grad_var": 0.22863806784152985,
"r_mean": 0.33253344893455505,
"r_var": 1.0801981687545776,
"g_mean": 0.21002225577831268,
"g_var": 0.5473105311393738,
"b_mean": 0.2969951629638672,
"b_var": 0.6543741822242737
}
|