Instructions to use mann-e/mann-e_4-2-merged with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mann-e/mann-e_4-2-merged 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_4-2-merged", 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:
- ae2257d0a12daf920075144867b7196b72f1d015fc6db39091104da720c71e61
- Size of remote file:
- 3.44 GB
- SHA256:
- 02a8259b1ca66c43a1c0b628e355d3cb51accae721dea1125c5b5ceda70e6ef3
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