Instructions to use Vibol/Hello with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Vibol/Hello with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ByteDance/SDXL-Lightning", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Vibol/Hello") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add 2 files
Browse files- All-Khmer-Fonts-9-26-15.zip +3 -0
- images/IMG_5427.png +3 -0
All-Khmer-Fonts-9-26-15.zip
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:11f4dbb0abf1c03193a58911f1a047b4dbda0a3918efff5d621ee4fd3a035153
|
| 3 |
+
size 30410894
|
images/IMG_5427.png
ADDED
|
Git LFS Details
|