Instructions to use szwagros/boogu-image-0.1-edit-turbo-bf16-fp8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use szwagros/boogu-image-0.1-edit-turbo-bf16-fp8 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("szwagros/boogu-image-0.1-edit-turbo-bf16-fp8", 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

- Xet hash:
- 893f59fad63b6339e55121c010fe9f7db3d37cfed52dd64828e6f1add8e31f90
- Size of remote file:
- 5.35 MB
- SHA256:
- 38126dddf09a4e9dadb5633847f4c2a4a0d6335c15d8f872942edbaea7ab4af2
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