Instructions to use mann-e/mann-e_5.4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mann-e/mann-e_5.4 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_5.4", 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
- Draw Things
- DiffusionBee
- Xet hash:
- edefdeb755e16dda6d7eb0c2a2a59ceaa2c418ed62a8fc7fdf2727aa25b6b483
- Size of remote file:
- 14.4 MB
- SHA256:
- cad5966008a5ccd320df32fce39cb95287cba88e84db3b5be62663c77c5983ef
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