Instructions to use yijunwang2/krea2-outpaint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use yijunwang2/krea2-outpaint 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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("yijunwang2/krea2-outpaint") 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:
- f0b9685ee92da4db60a29ab45c067a44e8a11d4d1a5cf20663efa4ca52a81b5e
- Size of remote file:
- 179 kB
- SHA256:
- 6f0b4f20d16e505f55f9972d0e31f1bbc4de4040f5c7693e410c23f7b569a49d
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