Instructions to use diffusionai/diffusionbrush with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusionai/diffusionbrush with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("diffusionai/diffusionbrush", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
---
|
| 2 |
license: creativeml-openrail-m
|
| 3 |
-
---
|
| 4 |
widget:
|
| 5 |
- text: "picture of a futuristic tiger, artstation"
|
| 6 |
output:
|
| 7 |
-
url: images/tiger.jpg
|
|
|
|
|
|
| 1 |
---
|
| 2 |
license: creativeml-openrail-m
|
|
|
|
| 3 |
widget:
|
| 4 |
- text: "picture of a futuristic tiger, artstation"
|
| 5 |
output:
|
| 6 |
+
url: images/tiger.jpg
|
| 7 |
+
---
|