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
- Xet hash:
- b90e88be813af3c4db0d57306507b9f361d6bde5d0f712655c7f01b98a7c21db
- Size of remote file:
- 4.52 GB
- SHA256:
- 971839a07e5647875e0d7c79aefbc30d05751f33e62537a24ebff2be5f8fc5fa
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