Image-to-Image
Diffusers
krea-2
krea2
anypaint
lora
inpainting
outpainting
arbitrary-mask
image-editing
Instructions to use yijunwang2/krea2-anypaint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use yijunwang2/krea2-anypaint 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("krea/Krea-2-Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("yijunwang2/krea2-anypaint") 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] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things

- Xet hash:
- ca04bf67daa48908f338c0a0dc650a9cf7c0a4d8b9d0c0f7f9e36a306d9cd56a
- Size of remote file:
- 147 kB
- SHA256:
- 148b15d23e1cbae3cddf424b2e64b0b716ab65df8571c29b4703e9258c0c3f25
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