Instructions to use Muhammadreza/mann-e-4-2-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muhammadreza/mann-e-4-2-base 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-4-2-base", 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:
- 7b67e66b81d445c8ba8500886682da1f2e912998cc79d8d10a8a83fb5b810d16
- Size of remote file:
- 246 MB
- SHA256:
- e02207ac03e25730e2771d2943914afbbe2c80631d25f6c18a93b460e9d56064
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.