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/crimeflux")
prompt = "A vibrant illustration of an enigmatic character engrossed in analyzing crypto trends. The aura of crime lingering in the background."
image = pipe(prompt).images[0]crimeflux
- Prompt
- A vibrant illustration of an enigmatic character engrossed in analyzing crypto trends. The aura of crime lingering in the background.
Model description
This LoRA was trained using high-quality internal pipelines developed by the StationThis project — a creative AI ecosystem powered by the $MS2 token and operated through the Telegram bot @stationthisbot.
It is optimized for use with the FLUX base model and performs best when paired with the trigger crime.
StationThis is built by Arthurt for the Milady community, providing on-demand AI generation and LoRA training via miladystation2.net. This model is part of a growing suite of tools focused on aesthetic fluency, meme magic, and expressive fine-tuning.
Trigger words
You should use crime to activate the LoRA style.
Preview Image Prompt
A vibrant illustration of an enigmatic character engrossed in analyzing crypto trends. The aura of crime lingering in the background.
Example Prompts
- A vibrant illustration of an enigmatic character engrossed in analyzing crypto trends. The aura of crime lingering in the background.
- A meme character comically trading crypto in a dark, crime-infested underground world, embodying the essence of crime in every smirk.
- Artistic depiction of a legendary figure from Crypto Twitter, engrossed in the world of trade but shrouded in a veil of crime and mystery.
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/crimeflux
Base model
black-forest-labs/FLUX.1-dev