Instructions to use BLIP3o/BLIP3o-Model-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BLIP3o/BLIP3o-Model-4B 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-4B", 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
Update README.md
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README.md
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@@ -17,7 +17,6 @@ This is BLIP3o-4B checkpoint trained on the **open source** data.
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```
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from huggingface_hub import snapshot_download
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-
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snapshot_download(
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repo_id="BLIP3o/BLIP3o-Model-4B",
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repo_type="model"
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```
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from huggingface_hub import snapshot_download
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snapshot_download(
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repo_id="BLIP3o/BLIP3o-Model-4B",
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repo_type="model"
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