Instructions to use maximalmargin/aem30 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use maximalmargin/aem30 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("maximalmargin/aem30", 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
Commit ·
7aa8ab8
1
Parent(s): de81879
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,3 +1,7 @@
|
|
| 1 |
---
|
| 2 |
license: cc-by-sa-4.0
|
| 3 |
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
---
|
| 2 |
license: cc-by-sa-4.0
|
| 3 |
---
|
| 4 |
+
|
| 5 |
+
Abstract Expression Machine 30 (AEM30):
|
| 6 |
+
|
| 7 |
+
Stable Diffusion 2 from Stability AI fine-tuned 30 steps on [maximalmargin/mitchell](https://huggingface.co/datasets/maximalmargin/mitchell) dataset.
|