Image-to-Image
Diffusers
Safetensors
FluxKontextPipeline
flux
flux.1
kontext
flux dev
lightning
turbo
Instructions to use buildborderless/FLUX.MF-Kontext_Lightning-8s-4bit_nf4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use buildborderless/FLUX.MF-Kontext_Lightning-8s-4bit_nf4 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("buildborderless/FLUX.MF-Kontext_Lightning-8s-4bit_nf4", 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:
- 413459000fdce4c7d7c50e2a7841333f6728021970bf2d905e8b384b8decab9b
- Size of remote file:
- 246 MB
- SHA256:
- 893d67a23f4693ed42cdab4cbad7fe3e727cf59609c40da28a46b5470f9ed082
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