Instructions to use ElChapoII/Testing8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ElChapoII/Testing8 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/Testing8", 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:
- 34205471714e13d682d1e2a6d9cd84de31fc4b52ba9b22198123d21854963e27
- Size of remote file:
- 335 MB
- SHA256:
- 86da202bf0ef3aa5302ebad0f03465f5073aabdd44521b6fc9c9358f258e4c98
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.