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
- Xet hash:
- 7552d300a7c6d902d12e8664a7f5236cf507dd2dc41eab7fb8a8a8de128fbdd8
- Size of remote file:
- 167 MB
- SHA256:
- 644b38e924edb2211b887fd926fb341cff6c0e9f3e59f7ff2c591ab719e3fdf3
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