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
- Draw Things
- DiffusionBee

- Xet hash:
- f14cb5c1eeb06ed97f53f47e4969513de395a36f3cc52911c4a0d813406867d8
- Size of remote file:
- 1.84 MB
- SHA256:
- 2b34d90b85597ad0356f610c060d17b5125574751c0784e51680971031f6d56d
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