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
Browse files
README.md
CHANGED
|
@@ -15,7 +15,7 @@ This is BLIP3o-4B checkpoint trained on the **open source** data.
|
|
| 15 |
|
| 16 |
### Download
|
| 17 |
|
| 18 |
-
```
|
| 19 |
from huggingface_hub import snapshot_download
|
| 20 |
|
| 21 |
snapshot_download(
|
|
|
|
| 15 |
|
| 16 |
### Download
|
| 17 |
|
| 18 |
+
```
|
| 19 |
from huggingface_hub import snapshot_download
|
| 20 |
|
| 21 |
snapshot_download(
|