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
Upload sdxl_faceid.jpg
Browse files- .gitattributes +1 -0
- sdxl_faceid.jpg +3 -0
.gitattributes
CHANGED
|
@@ -35,3 +35,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
ip-adapter-faceid.jpg filter=lfs diff=lfs merge=lfs -text
|
| 37 |
faceid_plusv2.jpg filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
ip-adapter-faceid.jpg filter=lfs diff=lfs merge=lfs -text
|
| 37 |
faceid_plusv2.jpg filter=lfs diff=lfs merge=lfs -text
|
| 38 |
+
sdxl_faceid.jpg filter=lfs diff=lfs merge=lfs -text
|
sdxl_faceid.jpg
ADDED
|
Git LFS Details
|