Instructions to use mann-e/Mann-E_Art with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mann-e/Mann-E_Art with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("mann-e/Mann-E_Art", 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
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Browse files
README.md
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# Mann-E Art
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This is the
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<p align="center">
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<img src="collage.png" width=416 height=608/>
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# Mann-E Art
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This is the new _Stable Diffusion XL_ based model from our company [Mann-E](https://mann-e.com) with more focus on artistic results closer to midjourney.
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<p align="center">
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<img src="collage.png" width=416 height=608/>
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