Instructions to use PlixAI/BitDiffusionV0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use PlixAI/BitDiffusionV0.1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("PlixAI/BitDiffusionV0.1", dtype=torch.bfloat16, device_map="cuda") prompt = "Three cow grazing in a bay window" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,4 +1,10 @@
|
|
| 1 |
---
|
| 2 |
-
|
| 3 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 4 |
---
|
|
|
|
|
|
| 1 |
---
|
| 2 |
+
pipeline_tag: text-to-image
|
| 3 |
+
widget:
|
| 4 |
+
- text: >-
|
| 5 |
+
Three cow grazing in a bay window
|
| 6 |
+
output:
|
| 7 |
+
url: cow.png
|
| 8 |
+
license: gpl-3.0
|
| 9 |
---
|
| 10 |
+
<Gallery />
|