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-face_sd15.bin from BeFrend/IP-Adapter: direct link, hf CLI and curl.
- Browser
- Download file 98.2 MB
-
https://huggingface.co/BeFrend/IP-Adapter/resolve/main/models/ip-adapter-plus-face_sd15.bin
- Command line
-
hf download hf://BeFrend/IP-Adapter/models/ip-adapter-plus-face_sd15.bin
-
curl -L -o ip-adapter-plus-face_sd15.bin https://huggingface.co/BeFrend/IP-Adapter/resolve/main/models/ip-adapter-plus-face_sd15.bin
98.2 MB
- Xet hash:
- 901d2f31429feb0049a11b7ff968025f051292441d855e04196fae618dc04053
- Size of remote file:
- 98.2 MB
- SHA256:
- aa09c22b49ef63474dcde12f26a35b8b8e9b755b716a553aa29e8dbe8d21e0c9
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