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
- Draw Things
- DiffusionBee
- Xet hash:
- 783d8d8432928eaf682940db6803feea74cb42e10da2f1c69f292d6c674df6fd
- Size of remote file:
- 2.13 GB
- SHA256:
- a26a5c65cb0215ec557d2ffe82908b287f3666608a4a6843ab821c116553b13b
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