Instructions to use Efficient-Large-Model/Sana_600M_512px_diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Sana
How to use Efficient-Large-Model/Sana_600M_512px_diffusers with Sana:
# Load the model and infer image from text import torch from app.sana_pipeline import SanaPipeline from torchvision.utils import save_image sana = SanaPipeline("configs/sana_config/1024ms/Sana_1600M_img1024.yaml") sana.from_pretrained("hf://Efficient-Large-Model/Sana_600M_512px_diffusers") image = sana( prompt='a cyberpunk cat with a neon sign that says "Sana"', height=1024, width=1024, guidance_scale=5.0, pag_guidance_scale=2.0, num_inference_steps=18, ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8e91635d25dc152a36592ba28ae4f6826fcb243bb6113b1da0b3b14d43b5f4a7
- Size of remote file:
- 2.37 GB
- SHA256:
- d8f492d7a2d6128bcbd8de7a00833a0d6a1fbcf8a8b84e65f3e783e9639a02d7
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