Image-to-Image
Diffusers
Safetensors
Diffusion Single File
English
FluxKontextPipeline
image-generation
flux
Instructions to use fuliucansheng/FLUX.1-Kontext-dev-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fuliucansheng/FLUX.1-Kontext-dev-diffusers 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("fuliucansheng/FLUX.1-Kontext-dev-diffusers", 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] - Diffusion Single File
How to use fuliucansheng/FLUX.1-Kontext-dev-diffusers with Diffusion Single File:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 32765e5531255e8a5648ce05830cbea611e324b78c87c26322cf53236b670e96
- Size of remote file:
- 6.17 MB
- SHA256:
- ba5354462fe3f3df42609b4e96635b35ef407d85ff0196a07b62749d86fb9fa9
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