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", 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
Download vae/config.json from BiliSakura/ZoomLDM-brca: direct link, hf CLI and curl.
- Browser
- Download file 323 Bytes
-
https://huggingface.co/BiliSakura/ZoomLDM-brca/resolve/main/vae/config.json
- Command line
-
hf download hf://BiliSakura/ZoomLDM-brca/vae/config.json
-
curl -L -o config.json https://huggingface.co/BiliSakura/ZoomLDM-brca/resolve/main/vae/config.json
323 Bytes
| { | |
| "embed_dim": 3, | |
| "n_embed": 8192, | |
| "ddconfig": { | |
| "double_z": false, | |
| "z_channels": 3, | |
| "resolution": 256, | |
| "in_channels": 3, | |
| "out_ch": 3, | |
| "ch": 128, | |
| "ch_mult": [ | |
| 1, | |
| 2, | |
| 4 | |
| ], | |
| "num_res_blocks": 2, | |
| "attn_resolutions": [], | |
| "dropout": 0.0 | |
| }, | |
| "lossconfig": {} | |
| } |