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
- Draw Things
- DiffusionBee
portrait-v11 vs portrait
#39
by will-gao - opened
ip-adapter-faceid-portrait-v11 _sd15 and ip-adapter-faceid-portrait _sd15
Does anyone know the difference between these two models? THX
add more training dataset, maybe better than previous one
add more training dataset, maybe better than previous one
Got it π€
will-gao changed discussion status to closed