Instructions to use philgram/IP-Adapter-FaceID with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use philgram/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("philgram/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
- Xet hash:
- 02ea042c6ae7f0799081e2380209965837c725ef59cabf3544fb7e71f8a08c86
- Size of remote file:
- 96.7 MB
- SHA256:
- 201344e22e6f55849cf07ca7a6e53d8c3b001327c66cb9710d69fd5da48a8da7
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