Instructions to use jiuhai/BLIP3o-Model-4B-Pretrain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jiuhai/BLIP3o-Model-4B-Pretrain with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jiuhai/BLIP3o-Model-4B-Pretrain", 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
Download training_args.bin from jiuhai/BLIP3o-Model-4B-Pretrain: direct link, hf CLI and curl.
- Browser
- Download file 7.35 kB
-
https://huggingface.co/jiuhai/BLIP3o-Model-4B-Pretrain/resolve/main/training_args.bin
- Command line
-
hf download hf://jiuhai/BLIP3o-Model-4B-Pretrain/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/jiuhai/BLIP3o-Model-4B-Pretrain/resolve/main/training_args.bin
7.35 kB
- Xet hash:
- 4573012166fc86a60a50d496369e27a4fc81625cd03460fe222f376c8359bf7c
- Size of remote file:
- 7.35 kB
- SHA256:
- fdc1eea8ced4f8a0609b216bf68e5a4dc395af146be09e625283f4d22e4b28b8
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