Image-to-Image
Diffusers
Safetensors
ZoomLDMPipeline
zoomldm
histopathology
brca
latent-diffusion
custom-pipeline
arxiv:2411.16969
Instructions to use BiliSakura/ZoomLDM-brca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BiliSakura/ZoomLDM-brca with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("BiliSakura/ZoomLDM-brca", torch_dtype=torch.bfloat16, device_map="cuda") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
| { | |
| "feat_key": "ssl_feat", | |
| "mag_key": "mag", | |
| "num_layers": 12, | |
| "input_channels": 1024, | |
| "hidden_channels": 512, | |
| "vit_mlp_dim": 2048, | |
| "p_uncond": 0.1 | |
| } |