Image-to-Image
Diffusers
English
histopathology
diffusion
image-generation
medical-imaging
latent-diffusion
semantic-synthesis
tissue-synthesis
computational-pathology
stable-diffusion
Instructions to use Saghir/HeteroTissueDiffuse with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Saghir/HeteroTissueDiffuse 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("Saghir/HeteroTissueDiffuse", 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:
- 480d3bbc9c94d06c08736ae9572b77623febd8e854f7fa0ee6455d0e7195b3b8
- Size of remote file:
- 3.67 GB
- SHA256:
- 340b5b646608edadbcb4c3bb40d631a56229b1da4f3490e1292dca66163f5f52
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