Instructions to use mann-e/mann-e_4_rev-1-3 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-1-3 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-1-3", 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:
- 6c0c5f7f326c2756829f7c4d8f1db99c4cdd8259349115aedc57f5c604226729
- Size of remote file:
- 8.31 MB
- SHA256:
- 5b726f0893eba18ed2cff67a12e0bc8592cebe21ea8e5bf863d857106b1ca437
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