Instructions to use ElChapoII/Testing10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ElChapoII/Testing10 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ElChapoII/Testing10", torch_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
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 386c6988840b1a96dd67bc1895712cb209fd05e58a29e31a6df2e0482a8b3ff0
- Size of remote file:
- 335 MB
- SHA256:
- 6b8c30db2e7185ba7dd3320e0bdcfebdc303bf5e3d835a6d2b3de490e208cb5b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.