Instructions to use open-gigaai/GigaBrain-0.7-3.5B-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use open-gigaai/GigaBrain-0.7-3.5B-Base with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("open-gigaai/GigaBrain-0.7-3.5B-Base", 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:
- fce9ed132297c2939d1df40fb2a6729c7cffb07ead14f60a650795373c9d8438
- Size of remote file:
- 2.31 MB
- SHA256:
- 39da636610838adf05a303a25caea3e6ea572c79095fc129798457a18957168d
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