Instructions to use Grigsss/clonex with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Grigsss/clonex with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Grigsss/clonex", dtype=torch.bfloat16, device_map="cuda") prompt = "clonex" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 51cc4bda97b114e6fe0ccec7c93b7629f328758ce9f06af7eecd0ade2e4b1f22
- Size of remote file:
- 3.44 GB
- SHA256:
- 1968c2eee9047d466256792c0ef725a3d2bac6a461356722f5091399fa04b099
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.