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
- Xet hash:
- 6ead65788cd92cb1b3a2f85f6941beb7e46075baa89894cec2c8294d68fd38d9
- Size of remote file:
- 155 MB
- SHA256:
- a1f294255b4b26a33fc72eb1819cf98032e9bcc0cfb2e308cf8376d58921bed8
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