Instructions to use Boogu/Boogu-Image-0.1-Edit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Boogu/Boogu-Image-0.1-Edit with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Boogu/Boogu-Image-0.1-Edit", dtype=torch.bfloat16, device_map="cuda") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
no stability for 2k + nor consistence ..
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#6 opened about 1 month ago
by
MAHKON1
why rely on FLUX 1 VAE ? wouldn't it be beter to upgrade to FLUX2 VAE ?
❤️ 1
2
#4 opened about 2 months ago
by
LeFourbe
awesome model
2
#3 opened about 2 months ago
by
Hellrunner
More Language Support
➕ 1
2
#2 opened about 2 months ago
by
SquatchDev
Chinese Traditional Characters Un-supported?
2
#1 opened about 2 months ago
by
mk4228