Instructions to use h94/IP-Adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use h94/IP-Adapter with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("h94/IP-Adapter", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download fig1.png from h94/IP-Adapter: direct link, hf CLI and curl.
- Browser
- Download file 470 kB
-
https://huggingface.co/h94/IP-Adapter/resolve/refs%2Fpr%2F49/fig1.png
- Command line
-
hf download hf://h94/IP-Adapter@refs/pr/49/fig1.png
-
curl -L -o fig1.png https://huggingface.co/h94/IP-Adapter/resolve/refs%2Fpr%2F49/fig1.png
470 kB
