Instructions to use BeFrend/IP-Adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BeFrend/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("BeFrend/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 models/ip-adapter-plus_sd15.bin from BeFrend/IP-Adapter: direct link, hf CLI and curl.
- Browser
- Download file 158 MB
-
https://huggingface.co/BeFrend/IP-Adapter/resolve/main/models/ip-adapter-plus_sd15.bin
- Command line
-
hf download hf://BeFrend/IP-Adapter/models/ip-adapter-plus_sd15.bin
-
curl -L -o ip-adapter-plus_sd15.bin https://huggingface.co/BeFrend/IP-Adapter/resolve/main/models/ip-adapter-plus_sd15.bin
158 MB
- Xet hash:
- 98235582a4440fdd3327ec7063005c2606e0deeab2ed9f87711965c0b9e4fa60
- Size of remote file:
- 158 MB
- SHA256:
- 1cb77fc0613369b66be1531cc452b823a4af7d87ee56956000a69fc39e3817ba
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