Instructions to use raman07/CheXGenBench-Models-Sana-e20 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use raman07/CheXGenBench-Models-Sana-e20 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("raman07/CheXGenBench-Models-Sana-e20", 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
- Draw Things
- DiffusionBee
Add model card for Sana 0.6B (CheXGenBench)
#1
by nielsr HF Staff - opened
Hi! I'm Niels, part of the community science team at Hugging Face. I noticed that this repository was missing a model card. This PR adds a README.md that:
- Links the model to its original paper: CheXGenBench: A Unified Benchmark For Fidelity, Privacy and Utility of Synthetic Chest Radiographs.
- Includes relevant metadata such as the
pipeline_tagandlibrary_name. - Provides links to the project page and official GitHub repository.
- Adds proper citation information.
This ensures the model is correctly indexed on the Hub and easier for researchers to discover and cite.
raman07 changed pull request status to merged