Instructions to use Gemneye/M1ssy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Gemneye/M1ssy 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("Gemneye/M1ssy") prompt = "M1ssy a woman, sits in a sunlit café sketching in her journal, warm light filtering through the window onto her freckles and soft curls." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
M1ssy

- Prompt
- M1ssy a woman, sits in a sunlit café sketching in her journal, warm light filtering through the window onto her freckles and soft curls.
Model description
Model trained using AI Toolkit
Trigger words
You should use M1ssy to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for Gemneye/M1ssy
Base model
black-forest-labs/FLUX.1-dev