Instructions to use Muhammadreza/mann-e_6-base-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muhammadreza/mann-e_6-base-model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Muhammadreza/mann-e_6-base-model", 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
- Xet hash:
- 1104884ed112274d0c24b375fcae3ded442d4bd2746042a89ca20eee9bbc6859
- Size of remote file:
- 492 MB
- SHA256:
- d09ae8cf035f74c4251b7973799014ed887958a6ee0f7206708aeb22e1bfc937
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