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
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Improve model card: add library\_name, pipeline\_tag, and links
Verified signatureThis PR improves the model card by: * Adding the `library_name` to the metadata. * Adding the `pipeline_tag` to the metadata, ensuring the model can be found at [https://huggingface.co/models?pipeline\_tag=image-text-to-text](https://huggingface.co/models?pipeline_tag=image-text-to-text). * Linking to the paper. * Adding a brief description of the model.48d5712
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