Instructions to use nunchaku-ai/nunchaku-sana with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nunchaku-ai/nunchaku-sana with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nunchaku-ai/nunchaku-sana", 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 Settings
- Draw Things
- DiffusionBee
Upload ./README.md with huggingface_hub
Browse files
README.md
CHANGED
|
@@ -20,7 +20,7 @@ tags:
|
|
| 20 |
|
| 21 |
---
|
| 22 |
<p align="center" style="border-radius: 10px">
|
| 23 |
-
<img src="https://huggingface.co/datasets/nunchaku-tech/cdn/resolve/main/nunchaku/assets/
|
| 24 |
</p>
|
| 25 |
|
| 26 |
<div align="center">
|
|
|
|
| 20 |
|
| 21 |
---
|
| 22 |
<p align="center" style="border-radius: 10px">
|
| 23 |
+
<img src="https://huggingface.co/datasets/nunchaku-tech/cdn/resolve/main/nunchaku/assets/nunchaku_v2.png" width="30%" alt="Nunchaku Logo"/>
|
| 24 |
</p>
|
| 25 |
|
| 26 |
<div align="center">
|