Instructions to use mann-e/mann-e_4-2-merged with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mann-e/mann-e_4-2-merged 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_4-2-merged", 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:
- 4f86b2fcc4fdcc704d6a174f03f217c2788cf24bd8c94d3110f7dc88cb1e2dec
- Size of remote file:
- 492 MB
- SHA256:
- 9fb19a5db2c79f57701292fd73cbe586f3d00419190b46ef0e906921c5253bdc
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