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
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# Mann-E FLUX[Dev] Edition
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library_name: diffusers
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# Mann-E FLUX[Dev] Edition
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<p align="center">
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<img src="demo.png" width=720 height=1280 />
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</p>
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## How to use the model
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_TBD_
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## Tips and Tricks
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_TBD_
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