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
- Draw Things
- DiffusionBee
- Xet hash:
- 880486a311aa0d3d497c7d054d430d4cea08682b34a94a32e4251fa734a80c5c
- Size of remote file:
- 3.44 GB
- SHA256:
- 08959aeffbc4d7301e1d7dfdd2f275fb86cbfd4e461cee878ac929fd3204132c
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