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
Update README.md
#27
by Renast - opened
"Deep in the forest, in dazzling greenery, a wild tiger approaches the camera lens. While the grass bends slightly with each step, the tiger's strong muscles and wild eyes are clearly visible when viewed through the camera lens. The mysterious atmosphere of the forest adds a natural wildness to every movement of the tiger."
Renast changed pull request status to closed
"Deep in the forest, in dazzling greenery, a wild tiger approaches the camera lens. While the grass bends slightly with each step, the tiger's strong muscles and wild eyes are clearly visible when viewed through the camera lens. The mysterious atmosphere of the forest adds a natural wildness to every movement of the tiger."
Renast changed pull request status to open
h94 changed pull request status to merged