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:
- 6f1a6a9310d1425d52b7e397764967ea20f031b89d186f77405d21a0f142797b
- Size of remote file:
- 2.13 GB
- SHA256:
- b4391b7978d973427a4a2a3ed0e67b18ebe34e213904575043d6c9faec75c22d
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