Instructions to use opencli/sana-0.6b-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use opencli/sana-0.6b-4bit with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("opencli/sana-0.6b-4bit", 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
| { | |
| "generated_at" : "2026-04-20T07:10:29Z", | |
| "variants" : [ | |
| { | |
| "display_name" : "Sana 0.6B 4-bit 路 1024px", | |
| "manifest_path" : "variants\/sana-0.6b-4bit-1024\/manifest.json", | |
| "relative_path" : "variants\/sana-0.6b-4bit-1024", | |
| "resolution" : 1024, | |
| "variant_id" : "sana-0.6b-4bit-1024" | |
| }, | |
| { | |
| "display_name" : "Sana 0.6B 4-bit 路 512px", | |
| "manifest_path" : "variants\/sana-0.6b-4bit-512\/manifest.json", | |
| "relative_path" : "variants\/sana-0.6b-4bit-512", | |
| "resolution" : 512, | |
| "variant_id" : "sana-0.6b-4bit-512" | |
| } | |
| ], | |
| "version" : 1 | |
| } |