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]This is BLIP3o-4B Pretrain checkpoint trained on the open source data.
Download
from huggingface_hub import snapshot_download
snapshot_download(
repo_id="jiuhai/BLIP3o-Model-4B-Pretrain",
repo_type="model"
)
Clone the repo (if you haven’t already) and install the environment:
git clone https://github.com/JiuhaiChen/BLIP3o.git
Change to the demo folder:
cd gradio
Launch with your model path:
python app.py /path/to/your/model
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