Instructions to use congruency/MOSS-Image-Turbo-MFD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use congruency/MOSS-Image-Turbo-MFD with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("congruency/MOSS-Image-Turbo-MFD", 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
v0.1 seems to display stylistic drift towards smooth 2D art
#1
by V33rGeer - opened
Bottom Text
nice to see this again!
specific examples include not-quite-smooth 2D art, such as this;
https://civitai.red/models/2628760/simon-bisley-style
for some reason I insist on using https://huggingface.co/akhaliq/MOSS-Image-SFT-4-steps as a backbone, not sure why but anyway


