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/Neonfantasy")
prompt = "UNICODE\u0000\u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000N\u0000e\u0000o\u0000n\u0000F\u0000a\u0000n\u0000t\u0000a\u0000s\u0000y\u0000P\u0000r\u0000i\u0000m\u0000e\u0000F\u0000L\u0000U\u0000X\u0000-\u00000\u00000\u00000\u00000\u00004\u00009\u0000:\u00001\u0000>\u0000 \u0000n\u0000e\u00000\u0000n\u0000f\u0000a\u0000n\u0000t\u00004\u0000s\u0000y\u0000,\u0000"
image = pipe(prompt).images[0]Neonfantasy
- Prompt
- UNICODE<lora:NeonFantasyPrimeFLUX-000049:1> ne0nfant4sy,
Trigger words
You should use ne0nfant4sy to trigger the image generation.
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Base model
black-forest-labs/FLUX.1-dev