Instructions to use AiArtLab/temp2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AiArtLab/temp2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AiArtLab/temp2", 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
- Xet hash:
- f42415d3e0282250ca41119fe11c3cab6cec39e9483e64b99e4d26772c19e3d6
- Size of remote file:
- 2.79 GB
- SHA256:
- 810adf809186d7f37e0e4931d8d62c6e31488f6df75510a314a5ca38b5671185
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