Instructions to use mann-e/mann-e_4_rev-1-3 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-1-3 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-1-3", 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
Commit History
-
Update README.md
5e3959f -
Update README.md
260dc6d
-
pt - camenduru/converter
4c7c852 -
Update README.md
18d3cef -
Upload 6 files
66961d2 -
Update README.md
ccadf0f -
Upload mountains-1.png
98e77e8 -
Lora model for Offset Noise
aeb2232 -
Checkpoints added
eb2cab7 -
initial commit
b3535ad