Instructions to use nitrosocke/mo-di-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nitrosocke/mo-di-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nitrosocke/mo-di-diffusion", 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
Any chance of an update?
#22
by Fox-Dude - opened
I absolutely love your model - it's my favorite among them all!
Any chance of a new version, or perhaps a similar model in the future..?
Thanks!
Guess not then..
Definitely.
Check out BB95 Furry Mix
https://civitai.com/models/17649?modelVersionId=236094
Or Indigo Furry Mix
https://civitai.com/models/34469/indigo-furry-mix
On Civitai.com
Amazing models, that honestly are a lot better than Mo-Di by now.
The difference in quality of images vary a lot, you have to know how to bring out the best in the models, so not all pics in the galleries are awesome.
I still have Mo-Di for safekeeping, it's great too.