Instructions to use mann-e/mann-e_4_rev-0-1 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-0-1 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-0-1", torch_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:
- 1f19f60c48f19231b56cfb5f8daa35e875445a12543da92e342b72ccfff0702e
- Size of remote file:
- 335 MB
- SHA256:
- 0955a1567b20200bbf39556c99e2dee5ae89267887b0802709e92b8008e5d182
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