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", 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:
- 2f7f8fe5fdf4234deb6652cdf045fae3470be4d6df22e284151cdf1d96c0edd3
- Size of remote file:
- 492 MB
- SHA256:
- 75bfefb54479b1bf2061dd9922068fda7f13bd844d07a124899f4fb492c3fe48
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