Instructions to use dataautogpt3/ProteusV0.3-Lightning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dataautogpt3/ProteusV0.3-Lightning with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dataautogpt3/ProteusV0.3-Lightning", torch_dtype=torch.bfloat16, device_map="cuda") prompt = "Anime Girl holding a sign that says 'Proteus Lighting'" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Update README.md
Browse files
README.md
CHANGED
|
@@ -14,7 +14,7 @@ license: gpl-3.0
|
|
| 14 |
<Gallery />
|
| 15 |
## ProteusV0.3-Lightning
|
| 16 |
|
| 17 |
-
using the new
|
| 18 |
|
| 19 |
## Proteus
|
| 20 |
|
|
|
|
| 14 |
<Gallery />
|
| 15 |
## ProteusV0.3-Lightning
|
| 16 |
|
| 17 |
+
using the new Lightning method released by bytedance for faster infernce with minial loss interms of quality and prompt comprehension.
|
| 18 |
|
| 19 |
## Proteus
|
| 20 |
|