Instructions to use mann-e/mann-e_5.4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mann-e/mann-e_5.4 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_5.4", 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:
- d81a32414686a59c585ffee7e475a721e85faeec3a93fbd27a76dea94a616534
- Size of remote file:
- 15.4 MB
- SHA256:
- c209c70d596b2b4a596800329d2649d9ff5f9fa3c9d4578f3efbfd265ca17846
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