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
- Xet hash:
- 25bc9e4aa6d03a53161546dc49cc76324d5a4d89ae723e46486f43da6ee1f715
- Size of remote file:
- 1.25 GB
- SHA256:
- dfd991d1b54ffabf22745c5885589d8f2a7bc59930d95d92bd741c4fc64454bb
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