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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 715155e1a8873ac9fafd708335285d0c0826be29385aef4384268fd1ea9ad337
- Size of remote file:
- 10.6 MB
- SHA256:
- e3568f53ca95c77125edbbe56b624fb5066f64c7ddebce3397974f04e3c69195
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