Instructions to use ElChapoII/Testing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ElChapoII/Testing 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/Testing", 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:
- 0bfccfe91a6e06ecebb4e771fa386e1213930881b348c919545e691ed6031888
- Size of remote file:
- 3.44 GB
- SHA256:
- c6fb0412722089b5b1ba80e696dcc672be864e793c1ff0c15c5c281e77325af7
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