Instructions to use AkiKagura/mkgen-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AkiKagura/mkgen-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("AkiKagura/mkgen-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
A stable diffusion model used to generate Marco's pictures by the prompt 'mkmk woman'
Based on runwayml/stable-diffusion-v1-5 trained by Dreambooth
Trained on 39 pics, 3000 steps
What is Marco like?

Some samples generated by this model:

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