Instructions to use ms2stationthis/yumemonoflux with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ms2stationthis/yumemonoflux 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("ms2stationthis/yumemonoflux") prompt = "cute yumemono style girl" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
yumemonoflux

- Prompt
- cute yumemono style girl
Model description
Trained on images sourced from yumemono twitter before mint release
Trigger words
You should use yumemono 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 ms2stationthis/yumemonoflux
Base model
black-forest-labs/FLUX.1-dev