Instructions to use heyyai/austinmichaelcraig0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use heyyai/austinmichaelcraig0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("heyyai/austinmichaelcraig0", 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:
- 985c410f5d133d768a2f0cd21f0e267561a51bcab08aec6a919180d139c9a8da
- Size of remote file:
- 492 MB
- SHA256:
- 4902f5a103f396a3639e018a7bdc2adcc6ce1b9a1436a06a3e051d7e6faf0330
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