Instructions to use BLIP3o/BLIP3o-Model-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BLIP3o/BLIP3o-Model-8B with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("BLIP3o/BLIP3o-Model-8B", 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:
- baf8b421d15fcbcf3c02f3cbc2a7476c1f168299720fd5c55914853c43e111f1
- Size of remote file:
- 7.35 kB
- SHA256:
- 0c23d9d84e1fa554f76ecbadd643d84a84a89aa5a6c6b2514ae8e46bfa091c4b
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