Instructions to use busetolunay/breast_cancer_binary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use busetolunay/breast_cancer_binary with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("busetolunay/breast_cancer_binary", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
-
Create README.md
Verified signatureba822b4 -
Upload model.safetensors with huggingface_hub
Verified signature7f25a87 -
Upload checkpoint-3000.safetensors with huggingface_hub
Verified signature8dee608 -
Upload checkpoint-1750.safetensors with huggingface_hub
Verified signature2ad5f0d -
Upload checkpoint-2750.safetensors with huggingface_hub
Verified signature4b68a78 -
Upload checkpoint-2250.safetensors with huggingface_hub
Verified signature68cb28b -
Upload checkpoint-2500.safetensors with huggingface_hub
Verified signaturead33a5c -
Upload checkpoint-1500.safetensors with huggingface_hub
Verified signaturedbc5526 -
Upload checkpoint-1250.safetensors with huggingface_hub
Verified signaturec1c4bad -
Upload checkpoint-1000.safetensors with huggingface_hub
Verified signature58b070c -
Upload checkpoint-2000.safetensors with huggingface_hub
Verified signatureef3025a -
Upload checkpoint-2750.safetensors with huggingface_hub
Verified signaturedec045e -
initial commit
Verified signatureb3a2434