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("leonel4rd/BSStyle")
prompt = "UNICODE\u0000\u0000N\u0000L\u0000S\u0000T\u0000N\u0000.\u0000 \u0000T\u0000h\u0000i\u0000s\u0000 \u0000i\u0000s\u0000 \u0000a\u0000 \u0000v\u0000i\u0000b\u0000r\u0000a\u0000n\u0000t\u0000,\u0000 \u0000d\u0000a\u0000r\u0000k\u0000 \u0000a\u0000n\u0000d\u0000 \u0000i\u0000n\u0000t\u0000e\u0000n\u0000s\u0000e\u0000 \u0000d\u0000i\u0000g\u0000i\u0000t\u0000a\u0000l\u0000 \u0000d\u0000r\u0000a\u0000w\u0000i\u0000n\u0000g\u0000 \u0000i\u0000n\u0000 \u0000a\u0000 \u0000n\u0000e\u0000o\u0000n\u0000-\u0000l\u0000i\u0000t\u0000 \u0000N\u0000L\u0000S\u0000T\u0000N\u0000 \u0000a\u0000n\u0000i\u0000m\u0000e\u0000 \u0000s\u0000t\u0000y\u0000l\u0000e\u0000.\u0000 \u0000T\u0000h\u0000e\u0000 \u0000a\u0000r\u0000t\u0000w\u0000o\u0000r\u0000k\u0000 \u0000f\u0000e\u0000a\u0000t\u0000u\u0000r\u0000e\u0000s\u0000 \u0000a\u0000 \u0000y\u0000o\u0000u\u0000n\u0000g\u0000 \u0000w\u0000o\u0000m\u0000a\u0000n\u0000 \u0000w\u0000i\u0000t\u0000h\u0000 \u0000s\u0000t\u0000r\u0000i\u0000k\u0000i\u0000n\u0000g\u0000 \u0000r\u0000e\u0000d\u0000 \u0000h\u0000a\u0000i\u0000r\u0000 \u0000s\u0000t\u0000y\u0000l\u0000e\u0000d\u0000 \u0000i\u0000n\u0000 \u0000a\u0000 \u0000b\u0000o\u0000b\u0000 \u0000w\u0000i\u0000t\u0000h\u0000 \u0000a\u0000 \u0000f\u0000e\u0000w\u0000 \u0000s\u0000t\u0000r\u0000a\u0000n\u0000d\u0000s\u0000 \u0000h\u0000a\u0000n\u0000g\u0000i\u0000n\u0000g\u0000 \u0000d\u0000o\u0000w\u0000n\u0000.\u0000 \u0000H\u0000e\u0000r\u0000 \u0000e\u0000y\u0000e\u0000s\u0000 \u0000a\u0000r\u0000e\u0000 \u0000a\u0000 \u0000s\u0000t\u0000r\u0000i\u0000k\u0000i\u0000n\u0000g\u0000,\u0000 \u0000g\u0000l\u0000o\u0000w\u0000i\u0000n\u0000g\u0000 \u0000r\u0000e\u0000d\u0000,\u0000 \u0000g\u0000i\u0000v\u0000i\u0000n\u0000g\u0000 \u0000a\u0000n\u0000 \u0000e\u0000e\u0000r\u0000i\u0000e\u0000,\u0000 \u0000a\u0000l\u0000m\u0000o\u0000s\u0000t\u0000 \u0000d\u0000e\u0000m\u0000o\u0000n\u0000i\u0000c\u0000 \u0000a\u0000p\u0000p\u0000e\u0000a\u0000r\u0000a\u0000n\u0000c\u0000e\u0000.\u0000 \u0000S\u0000h\u0000e\u0000 \u0000h\u0000a\u0000s\u0000 \u0000a\u0000 \u0000w\u0000i\u0000d\u0000e\u0000,\u0000 \u0000t\u0000o\u0000o\u0000t\u0000h\u0000y\u0000 \u0000g\u0000r\u0000i\u0000n\u0000,\u0000 \u0000s\u0000h\u0000o\u0000w\u0000i\u0000n\u0000g\u0000 \u0000s\u0000h\u0000a\u0000r\u0000p\u0000,\u0000 \u0000p\u0000o\u0000i\u0000n\u0000t\u0000y\u0000 \u0000t\u0000e\u0000e\u0000t\u0000h\u0000,\u0000 \u0000a\u0000d\u0000d\u0000i\u0000n\u0000g\u0000 \u0000t\u0000o\u0000 \u0000t\u0000h\u0000e\u0000 \u0000m\u0000e\u0000n\u0000a\u0000c\u0000i\u0000n\u0000g\u0000 \u0000l\u0000o\u0000o\u0000k\u0000.\u0000"
image = pipe(prompt).images[0]BSSTYLE
- Prompt
- UNICODENLSTN. This is a vibrant, dark and intense digital drawing in a neon-lit NLSTN anime style. The artwork features a young woman with striking red hair styled in a bob with a few strands hanging down. Her eyes are a striking, glowing red, giving an eerie, almost demonic appearance. She has a wide, toothy grin, showing sharp, pointy teeth, adding to the menacing look.
Trigger words
You should use in a neon-lit NLSTN anime style to trigger the image generation.
You should use NLSTN to trigger the image generation.
You should use glowing to trigger the image generation.
You should use neon 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 leonel4rd/BSStyle
Base model
black-forest-labs/FLUX.1-dev