Instructions to use h94/IP-Adapter-FaceID with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use h94/IP-Adapter-FaceID 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-FaceID", 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 ip-adapter-faceid-plus_sd15.bin from h94/IP-Adapter-FaceID: direct link, hf CLI and curl.
- Browser
- Download file 157 MB
-
https://huggingface.co/h94/IP-Adapter-FaceID/resolve/fa2b47b56af60dd4b28fdf1fb47384e65de49e4b/ip-adapter-faceid-plus_sd15.bin
- Command line
-
hf download hf://h94/IP-Adapter-FaceID@fa2b47b56af60dd4b28fdf1fb47384e65de49e4b/ip-adapter-faceid-plus_sd15.bin
-
curl -L -o ip-adapter-faceid-plus_sd15.bin https://huggingface.co/h94/IP-Adapter-FaceID/resolve/fa2b47b56af60dd4b28fdf1fb47384e65de49e4b/ip-adapter-faceid-plus_sd15.bin
157 MB
- Xet hash:
- 0ea94e914108fb901f46fa7f5020eac3154ccfbfc7da97836fefcf320c8f90aa
- Size of remote file:
- 157 MB
- SHA256:
- 252fb53e0d018489d9e7f9b9e2001a52ff700e491894011ada7cfb471e0fadf2
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