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
Download showcase/03_3d_outpaint_source.webp from yijunwang2/krea2-anypaint: direct link, hf CLI and curl.
- Browser
- Download file 119 kB
-
https://huggingface.co/yijunwang2/krea2-anypaint/resolve/main/showcase/03_3d_outpaint_source.webp
- Command line
-
hf download hf://yijunwang2/krea2-anypaint/showcase/03_3d_outpaint_source.webp
-
curl -L -o 03_3d_outpaint_source.webp https://huggingface.co/yijunwang2/krea2-anypaint/resolve/main/showcase/03_3d_outpaint_source.webp
119 kB

- Xet hash:
- 827e654bd13e81c3d9bb21ee25aa28220af83c4d6387d329a83ed0790af80617
- Size of remote file:
- 119 kB
- SHA256:
- 447be13e6afb4f534fb3520e8649ee380eba5da12cdb3e9538fdecc2bd5b8578
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