Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
medical-imaging
chest-xray
compdiff
Instructions to use mahmoudibra98/compdiff-chest-xray with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mahmoudibra98/compdiff-chest-xray with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("mahmoudibra98/compdiff-chest-xray", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 58b5bc4c4e86146765c79a8d1e58744db3b16ca074c984aac9ba8d92c4e39737
- Size of remote file:
- 7.4 MB
- SHA256:
- 5e950b324d519377942f88ce6c43f1a698856d7862df49fc4e7f8fe6767b3259
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.