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
- Xet hash:
- de5277d52e97c1d366b8bc710717f091679d559eb58daaaa536d6f5bea6d740f
- Size of remote file:
- 1.56 GB
- SHA256:
- 5b6045a1b7dc5e533c4d7f7bd75fed7937c3db4369bec7670439ea200b3771da
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