Instructions to use ElChapoII/Testing9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ElChapoII/Testing9 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/Testing9", 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:
- f166df8471662428f364cc7e08707b0e46c8976dabac52ac6e65473bdc40be86
- Size of remote file:
- 492 MB
- SHA256:
- 134a3bb51cf4f40af5e7ad1541f18ffae02aadc9ee1cdc82db82ba0c32c58a5a
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