Instructions to use michaelreborn/MKMYO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use michaelreborn/MKMYO with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("michaelreborn/MKMYO") prompt = "A man mkmyo" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
MKMYO

- Prompt
- A man mkmyo
Trigger words
You should use mkmyo to trigger the image generation.
You should use mk11yo to trigger the image generation.
You should use mk5yo to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for michaelreborn/MKMYO
Base model
black-forest-labs/FLUX.1-dev