Instructions to use JCTN/IP-Adapter-FaceID with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JCTN/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("JCTN/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 provee from JCTN/IP-Adapter-FaceID: direct link, hf CLI and curl.
- Browser
- Download file 107 Bytes
-
https://huggingface.co/JCTN/IP-Adapter-FaceID/resolve/main/provee
- Command line
-
hf download hf://JCTN/IP-Adapter-FaceID/provee
-
curl -L -o provee https://huggingface.co/JCTN/IP-Adapter-FaceID/resolve/main/provee
107 Bytes
| - https://huggingface.co/h94/IP-Adapter-FaceID/tree/main | |
| - https://github.com/Navezjt/cog-IP-Adapter-FaceID |