Instructions to use Efficient-Large-Model/SANA-Streaming with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Efficient-Large-Model/SANA-Streaming with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Efficient-Large-Model/SANA-Streaming", 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
File size: 133 Bytes
534c946 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:1accb4e89df91389d74bf31ae1850567c5f6d514c32ca28dbbbc43ee8ca81564
size 16472896
|