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:
- 0a30848fd692bc6fcd4cc0724287b8242766ecabba8587466d941832448f8053
- Size of remote file:
- 492 MB
- SHA256:
- 0f4356eebe9ac70535c5f4dad4fda8288b7da655d9956de681ed22deae7d8094
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