Instructions to use Shio-Koube/SANA-Gemma3-270m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Shio-Koube/SANA-Gemma3-270m with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Shio-Koube/SANA-Gemma3-270m", 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:
- 12e89a3ebce1bec68fd7e28b95ae9309557a4b58f298adea918e151aede3822f
- Size of remote file:
- 1.07 GB
- SHA256:
- 2ce9b58c570eb52fc0dbfb6fe99349d72f864f163912196bcb3df3d80d1a5652
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.