Duplicated from unsloth/FLUX.1-Kontext-dev
How to use Jinstudio/FLUX.1-Kontext-dev 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("Jinstudio/FLUX.1-Kontext-dev", 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]
How to use Jinstudio/FLUX.1-Kontext-dev 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
https://huggingface.co/Jinstudio/FLUX.1-Kontext-dev/resolve/main/tokenizer_2/tokenizer.json
hf download hf://Jinstudio/FLUX.1-Kontext-dev/tokenizer_2/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/Jinstudio/FLUX.1-Kontext-dev/resolve/main/tokenizer_2/tokenizer.json
