Instructions to use dataautogpt3/ProteusV0.4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dataautogpt3/ProteusV0.4 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/ProteusV0.4", dtype=torch.bfloat16, device_map="cuda") prompt = "3 fish in a fish tank wearing adorable outfits, best quality, hd" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Update README.md
Browse files
README.md
CHANGED
|
@@ -4,7 +4,11 @@ widget:
|
|
| 4 |
- text: >-
|
| 5 |
3 fish in a fish tank wearing adorable outfits, best quality, hd
|
| 6 |
output:
|
| 7 |
-
url: GGuziQaXYAAudCW.png
|
|
|
|
|
|
|
|
|
|
|
|
|
| 8 |
license: gpl-3.0
|
| 9 |
---
|
| 10 |
<Gallery />
|
|
|
|
| 4 |
- text: >-
|
| 5 |
3 fish in a fish tank wearing adorable outfits, best quality, hd
|
| 6 |
output:
|
| 7 |
+
url: GGuziQaXYAAudCW.png
|
| 8 |
+
- text: >-
|
| 9 |
+
a woman sitting in a wooden chair in the middle of a grass field on a farm, moonlight, best quality, hd, anime art
|
| 10 |
+
output:
|
| 11 |
+
url: upscaled_image (1).webp
|
| 12 |
license: gpl-3.0
|
| 13 |
---
|
| 14 |
<Gallery />
|