Instructions to use xuminglong/kontext-tryon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xuminglong/kontext-tryon 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("black-forest-labs/FLUX.1-Kontext-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("xuminglong/kontext-tryon") 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] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
add mytryon4
Browse files
mytryon4_comfy.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:727265399b17fbf9dcf1ed4f3f0dc3b9a93d0feb71f00fad99b2043d39125de1
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size 306593008
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