Instructions to use SJTU-DENG-Lab/Sana_600M_512px_diffusers_64channels with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Sana
How to use SJTU-DENG-Lab/Sana_600M_512px_diffusers_64channels 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://SJTU-DENG-Lab/Sana_600M_512px_diffusers_64channels") 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:
- 4747d621061ff864406560d79c8c3e355c05f2e88ba30eba88c8d5881d3d220d
- Size of remote file:
- 4.24 MB
- SHA256:
- 61a7b147390c64585d6c3543dd6fc636906c9af3865a5548f27f31aee1d4c8e2
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