Instructions to use starsfriday/Kontext-Labubu-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use starsfriday/Kontext-Labubu-LoRA 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("starsfriday/Kontext-Labubu-LoRA") prompt = "Turn this image into the Labubu style" 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 files using upload-large-folder tool
Browse files
README.md
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This is a model for style transfer, trained on ```black-forest-labs/FLUX.1-Kontext-dev```, and is suitable for transform the picture into the labubu style of
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## Model description
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This is a model for style transfer, trained on ```black-forest-labs/FLUX.1-Kontext-dev```, and is suitable for transform the picture into the labubu style of pop mart.For use in ```ComfyUI```.
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## Model description
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