Instructions to use yc4ny/SVAD-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use yc4ny/SVAD-models with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("yc4ny/SVAD-models", 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 submodules/MusePose/pretrained_weights/dwpose/yolox_l_8x8_300e_coco.pth with huggingface_hub
Browse files
submodules/MusePose/pretrained_weights/dwpose/yolox_l_8x8_300e_coco.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d3bd2b23e4cd178bfcc756df67e0d0949f3d77e0a73482f6da694c580ed54da1
|
| 3 |
+
size 217289556
|