Instructions to use Gemneye/Shawty with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Gemneye/Shawty with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Wan-AI/Wan2.2-T2V-A14B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Gemneye/Shawty") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Update README.md
Browse files
README.md
CHANGED
|
@@ -9,7 +9,7 @@ tags:
|
|
| 9 |
- template:diffusion-lora
|
| 10 |
widget:
|
| 11 |
- output:
|
| 12 |
-
url: Shawty-Wan2Image-007.png
|
| 13 |
text: '-'
|
| 14 |
base_model:
|
| 15 |
- Wan-AI/Wan2.2-T2V-A14B
|
|
|
|
| 9 |
- template:diffusion-lora
|
| 10 |
widget:
|
| 11 |
- output:
|
| 12 |
+
url: images/Shawty-Wan2Image-007.png
|
| 13 |
text: '-'
|
| 14 |
base_model:
|
| 15 |
- Wan-AI/Wan2.2-T2V-A14B
|