Instructions to use ElChapoII/Testing12 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ElChapoII/Testing12 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/Testing12", 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:
- d102106ad8dc2b424c988bcd9a5f666c1ece15d41e6ea0822f7cec0a3daead8b
- Size of remote file:
- 3.44 GB
- SHA256:
- 9a080e71d79460183df486b826ec1dbb1367fddc84d00acf8afd3ae5b18e2e03
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