Instructions to use ElChapoII/Testing13 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ElChapoII/Testing13 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/Testing13", 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:
- b5719da49de9da3d71ac45ec7413942ca4d412b00d038275784390743e05a4f0
- Size of remote file:
- 3.44 GB
- SHA256:
- 3d9a2eb48012602f7579a5740bbe56a0dc3cf45c58347ad5e278ab8e811c79b9
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