Text-to-Image
Diffusers
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use anic87/crc-tumor-text with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use anic87/crc-tumor-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-text", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of sks tumor-tissue-histology" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download image_0.png from anic87/crc-tumor-text: direct link, hf CLI and curl.
- Browser
- Download file 378 kB
-
https://huggingface.co/anic87/crc-tumor-text/resolve/main/image_0.png
- Command line
-
hf download hf://anic87/crc-tumor-text/image_0.png
-
curl -L -o image_0.png https://huggingface.co/anic87/crc-tumor-text/resolve/main/image_0.png
378 kB
