Instructions to use mann-e/mann-e_flux with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mann-e/mann-e_flux 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_flux", 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:
- 413459000fdce4c7d7c50e2a7841333f6728021970bf2d905e8b384b8decab9b
- Size of remote file:
- 246 MB
- SHA256:
- 893d67a23f4693ed42cdab4cbad7fe3e727cf59609c40da28a46b5470f9ed082
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