Instructions to use CiaraRowles/IP-Adapter-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CiaraRowles/IP-Adapter-Instruct 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("CiaraRowles/IP-Adapter-Instruct", dtype=torch.bfloat16, device_map="cuda") 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
Link models to paper (#1)
Browse files- Link models to paper (53109fc755fcc423623ad6ae7b4a621aa35618e8)
Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>
README.md
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see github: https://github.com/unity-research/IP-Adapter-Instruct
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see github: https://github.com/unity-research/IP-Adapter-Instruct
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Paper: https://arxiv.org/abs/2408.03209
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