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:
- 6b0b25d56d1dae0ba5a7eddafeab4dae90c809b89b32e964e9aba84f4db7cdf7
- Size of remote file:
- 2.13 GB
- SHA256:
- 8478479b643d32479f4c48ade988de043119d2e503a7b7eba7de2613e1bfae17
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.