Instructions to use mann-e/mann-e_4_rev-0-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mann-e/mann-e_4_rev-0-3 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_4_rev-0-3", 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:
- 8f62f3a9e8f5a407cda2441d0025ebc15040b627bea1ddf3bb01734088e107e4
- Size of remote file:
- 2.13 GB
- SHA256:
- b3f3a7d08a7c7486749ba0ff321ec6c60d9d9af86e008c4bad023303f9859c81
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