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-plusv2_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/refs%2Fpr%2F51/ip-adapter-faceid-plusv2_sd15.bin
- Command line
-
hf download hf://h94/IP-Adapter-FaceID@refs/pr/51/ip-adapter-faceid-plusv2_sd15.bin
-
curl -L -o ip-adapter-faceid-plusv2_sd15.bin https://huggingface.co/h94/IP-Adapter-FaceID/resolve/refs%2Fpr%2F51/ip-adapter-faceid-plusv2_sd15.bin
157 MB
- Xet hash:
- 8df66e1e8a04d595a28fa1e753ce9014d7c10f1a1a0bc7ce6bf5e736e1a10ab1
- Size of remote file:
- 157 MB
- SHA256:
- 26d0d86a1d60d6cc811d3b8862178b461e1eeb651e6fe2b72ba17aa95411e313
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