Text-to-Image
Diffusers
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use anic87/crc-tumor-normal-text with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use anic87/crc-tumor-normal-text with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("anic87/crc-tumor-normal-text", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of sks tissue-histology-without-tumor" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download vae/diffusion_pytorch_model.bin from anic87/crc-tumor-normal-text: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/anic87/crc-tumor-normal-text/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://anic87/crc-tumor-normal-text/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/anic87/crc-tumor-normal-text/resolve/main/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- 9148b10af153e227c0ad0791ca67828a16f2f4065efcf6e0fb1a4fe0d28c6034
- Size of remote file:
- 335 MB
- SHA256:
- 1b4889b6b1d4ce7ae320a02dedaeff1780ad77d415ea0d744b476155c6377ddc
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.