Instructions to use KORMo-VL/KORMo-VL-Diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use KORMo-VL/KORMo-VL-Diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("KORMo-VL/KORMo-VL-Diffusion", 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
|
@@ -47,6 +47,14 @@ KORMo-VL은 KAIST MLP 연구실에서 **from scratch로 개발한 시각-언어
|
|
| 47 |
## 📈 T2I Performance
|
| 48 |
결과 사진 추가 예정
|
| 49 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 50 |
|
| 51 |
## 📦 Installation
|
| 52 |
|
|
|
|
| 47 |
## 📈 T2I Performance
|
| 48 |
결과 사진 추가 예정
|
| 49 |
|
| 50 |
+
## KORMo-VL-Diffusion Demo
|
| 51 |
+
|
| 52 |
+
`prompt: 아름다운 정원의 꽃들`
|
| 53 |
+
|
| 54 |
+
<video width="640" height="360" controls>
|
| 55 |
+
<source src="https://huggingface.co/KORMo-VL/KORMo-VL-Diffusion/resolve/main/kormo_diffusion_assets/kormo_t2i.mp4" type="video/mp4">
|
| 56 |
+
</video>
|
| 57 |
+
|
| 58 |
|
| 59 |
## 📦 Installation
|
| 60 |
|