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", 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:
- 584a72978016771ff79e7250224617657a21f477fe8d16d33cfecf9da3e61d3d
- Size of remote file:
- 3.44 GB
- SHA256:
- fc839d4be9942e359300d7d07bfd5d465ecc6bb98a19fa172d17f4e2fa2d771f
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