Instructions to use joyfox/Kontext-Tim-Burton-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use joyfox/Kontext-Tim-Burton-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("joyfox/Kontext-Tim-Burton-LoRA") prompt = "turn the image into a gothic dark style anime character with pale stitched skin and large eyes, in a Tim Burton filter aesthetic." 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
- Draw Things
- Xet hash:
- 7f4f3a96e98b9841d76d9cedf6ebbd2580e6608704469b191e0aadbf2f4b316b
- Size of remote file:
- 176 MB
- SHA256:
- a319e7d32e85be7b8ca0fd0dc9e8d4090db3bbffd861d010a76a49326124e901
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.