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
can we get a quantized nvfp4 mixed version of this ?
#8
by rththr - opened
hello is it possibe for you to make a nvfp4 format of this , i have recently found that i get 2x speed boost from going from gguf to nvfp4 . anyways love the model . thanks
Hi, thanks a lot for your support!
ComfyUI has released the nvfp4 support for Boogu-Image. You may try this: https://huggingface.co/Comfy-Org/Boogu-Image
Hi, thanks a lot for your support!
ComfyUI has released the nvfp4 support for Boogu-Image. You may try this: https://huggingface.co/Comfy-Org/Boogu-Image
can we also have multi image input . so far the realastic model i have seen , such a great work .
rththr changed discussion status to closed