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:
- dc9e9280a80f4b7556391eae2c58ca91819d64bdb7e526b04c610190f347a546
- Size of remote file:
- 167 MB
- SHA256:
- 2741af7e84fe3b0a7aee02f89fa34c0858ed55f5782aab5931b94938983652da
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