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/Onepiecestyle")
prompt = "UNICODE\u0000\u0000a\u0000 \u0000m\u0000i\u0000n\u0000i\u0000o\u0000n\u0000 \u0000,\u0000 \u0000m\u0000a\u0000s\u0000t\u0000e\u0000r\u0000p\u0000i\u0000e\u0000c\u0000e\u0000,\u0000h\u0000o\u0000l\u0000d\u0000i\u0000n\u0000g\u0000 \u0000u\u0000p\u0000 \u0000a\u0000 \u0000s\u0000i\u0000g\u0000n\u0000 \u0000w\u0000i\u0000t\u0000h\u0000 \u0000t\u0000h\u0000e\u0000 \u0000w\u0000o\u0000r\u0000d\u0000 \u0000\"\u0000C\u0000i\u0000v\u0000i\u0000t\u0000a\u0000i\u0000\"\u0000 \u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000O\u0000n\u0000e\u0000P\u0000i\u0000e\u0000c\u0000e\u0000S\u0000t\u0000y\u0000l\u0000e\u0000L\u0000o\u0000r\u0000a\u0000F\u0000l\u0000u\u0000x\u0000v\u00001\u0000:\u00001\u0000>\u0000 \u0000o\u0000n\u00003\u0000p\u0000i\u00003\u0000c\u00003\u0000s\u0000t\u0000y\u0000l\u00003\u0000"
image = pipe(prompt).images[0]OnePieceMangaStyle
- Prompt
- UNICODEa minion , masterpiece,holding up a sign with the word "Civitai" <lora:OnePieceStyleLoraFluxv1:1> on3pi3c3styl3
Trigger words
You should use on3pi3c3styl3 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/Onepiecestyle
Base model
black-forest-labs/FLUX.1-dev