Instructions to use Adapter/t2iadapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Adapter/t2iadapter with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Adapter/t2iadapter", dtype=torch.bfloat16, device_map="cuda") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Upload teaser.PNG
Browse files- .gitattributes +1 -0
- figs_SDXLV1.0/teaser.PNG +3 -0
.gitattributes
CHANGED
|
@@ -41,3 +41,4 @@ figs_SDXLV1.0/res_depth_mid.png filter=lfs diff=lfs merge=lfs -text
|
|
| 41 |
res_pose[[:space:]](9).png filter=lfs diff=lfs merge=lfs -text
|
| 42 |
res_pose.png filter=lfs diff=lfs merge=lfs -text
|
| 43 |
figs_SDXLV1.0/org_lin.jpg filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 41 |
res_pose[[:space:]](9).png filter=lfs diff=lfs merge=lfs -text
|
| 42 |
res_pose.png filter=lfs diff=lfs merge=lfs -text
|
| 43 |
figs_SDXLV1.0/org_lin.jpg filter=lfs diff=lfs merge=lfs -text
|
| 44 |
+
figs_SDXLV1.0/teaser.PNG filter=lfs diff=lfs merge=lfs -text
|
figs_SDXLV1.0/teaser.PNG
ADDED
|
|
Git LFS Details
|