Instructions to use maximalmargin/aem100 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use maximalmargin/aem100 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("maximalmargin/aem100", 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
- Draw Things
- DiffusionBee
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Abstract Expression Machine 100 (AEM100):
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Stable Diffusion 2 from Stability AI fine-tuned 100 steps on [maximalmargin/mitchell](https://huggingface.co/datasets/maximalmargin/mitchell) dataset.
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