Image-to-Image
Diffusers
Safetensors
FluxKontextPipeline
flux
flux.1
kontext
flux dev
lightning
turbo
Instructions to use camenduru/FLUX.1_Kontext-Lightning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use camenduru/FLUX.1_Kontext-Lightning 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("camenduru/FLUX.1_Kontext-Lightning", 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:
- 65b0cc40f50cac5edf11f8b6b89fb03c51e097cac28cc3ccc992d3756864e072
- Size of remote file:
- 4.53 GB
- SHA256:
- a5640855b301fcdbceddfa90ae8066cd9414aff020552a201a255ecf2059da00
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