Instructions to use BestWishYsh/ConsisID-preview with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BestWishYsh/ConsisID-preview with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("BestWishYsh/ConsisID-preview", 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
Upload face_encoder/glint360k_curricular_face_r101_backbone.bin with huggingface_hub
Browse files
face_encoder/glint360k_curricular_face_r101_backbone.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:aa54ae6dc9f7ac6e262809f1a81d6108e221952bf836aee4cb677ef19246c6ec
|
| 3 |
+
size 261202954
|