Instructions to use BestWishYsh/Helios-Distilled with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BestWishYsh/Helios-Distilled with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("BestWishYsh/Helios-Distilled", 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
Update README.md
Browse files
README.md
CHANGED
|
@@ -12,7 +12,7 @@ base_model_relation: finetune
|
|
| 12 |
<img src="https://github.com/PKU-YuanGroup/Helios-Page/blob/main/figures/logo_white.png?raw=true" width="300px">
|
| 13 |
</div>
|
| 14 |
|
| 15 |
-
<
|
| 16 |
|
| 17 |
<h5 align="center">⭐ 14B Real-Time Long Video Generation Model can be Cheaper, Faster but Keep Stronger than 1.3B ones ⭐</h5>
|
| 18 |
|
|
|
|
| 12 |
<img src="https://github.com/PKU-YuanGroup/Helios-Page/blob/main/figures/logo_white.png?raw=true" width="300px">
|
| 13 |
</div>
|
| 14 |
|
| 15 |
+
<h1 align="center">Helios: Real Real-Time Long Video Generation Model</h1>
|
| 16 |
|
| 17 |
<h5 align="center">⭐ 14B Real-Time Long Video Generation Model can be Cheaper, Faster but Keep Stronger than 1.3B ones ⭐</h5>
|
| 18 |
|