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
File size: 162 Bytes
cd99f4e | 1 2 3 4 5 6 7 8 9 | {
"feat_key": "ssl_feat",
"mag_key": "mag",
"num_layers": 12,
"input_channels": 1024,
"hidden_channels": 512,
"vit_mlp_dim": 2048,
"p_uncond": 0.1
} |