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

- Xet hash:
- 33135c3fae7d0680b7b1a0b6e93856be9b5ae79e5c11a07a03f77c6e1c7225cb
- Size of remote file:
- 602 kB
- SHA256:
- 550a5f53f53dcc6b3f264118cce793e70cef5b29828ce624027644b75209291e
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