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("hgutjh/WA")
prompt = "UNICODE\u0000\u0000h\u0000y\u0000p\u0000e\u0000r\u0000 \u0000r\u0000e\u0000a\u0000l\u0000i\u0000s\u0000t\u0000i\u0000c\u0000 \u0000p\u0000h\u0000o\u0000t\u0000o\u0000g\u0000r\u0000a\u0000p\u0000h\u0000y\u0000 \u0000p\u0000o\u0000r\u0000t\u0000r\u0000a\u0000i\u0000t\u0000 \u0000o\u0000f\u0000 \u0000h\u0000e\u0000r\u0000o\u0000i\u0000c\u0000 \u0000w\u0000a\u0000r\u0000h\u0000a\u0000m\u0000m\u0000e\u0000r\u0000 \u0000m\u0000a\u0000c\u0000h\u0000i\u0000n\u0000e\u0000 \u0000r\u0000o\u0000b\u0000o\u0000t\u0000i\u0000c\u0000 \u0000a\u0000n\u0000d\u0000r\u0000o\u0000i\u0000d\u0000 \u0000g\u0000i\u0000r\u0000l\u0000,\u0000 \u0000e\u0000v\u0000a\u0000 \u0000g\u0000r\u0000e\u0000e\u0000n\u0000,\u0000 \u0000w\u0000e\u0000d\u0000n\u0000e\u0000s\u0000d\u0000a\u0000y\u0000 \u0000a\u0000d\u0000d\u0000a\u0000m\u0000s\u0000,\u0000 \u0000c\u0000i\u0000n\u0000e\u0000m\u0000a\u0000t\u0000i\u0000c\u0000,\u0000 \u0000c\u0000h\u0000a\u0000o\u0000s\u0000 \u0000m\u0000a\u0000r\u0000i\u0000n\u0000e\u0000,\u0000 \u0000a\u0000r\u0000t\u0000s\u0000t\u0000a\u0000t\u0000i\u0000o\u0000n\u0000,\u0000 \u0000c\u0000g\u0000s\u0000o\u0000c\u0000i\u0000e\u0000t\u0000y\u0000,\u0000 \u0000f\u0000u\u0000l\u0000l\u0000 \u0000h\u0000e\u0000a\u0000d\u0000 \u0000a\u0000n\u0000d\u0000 \u0000s\u0000h\u0000o\u0000u\u0000l\u0000d\u0000e\u0000r\u0000s\u0000,\u0000 \u0000g\u0000r\u0000e\u0000g\u0000 \u0000r\u0000u\u0000t\u0000k\u0000o\u0000w\u0000s\u0000k\u0000i\u0000,\u0000 \u0000j\u0000a\u0000m\u0000e\u0000s\u0000 \u0000g\u0000u\u0000r\u0000n\u0000e\u0000y\u0000,\u0000 \u0000m\u0000i\u0000g\u0000n\u0000o\u0000l\u0000a\u0000,\u0000 \u0000c\u0000r\u0000a\u0000i\u0000g\u0000 \u0000m\u0000u\u0000l\u0000l\u0000i\u0000n\u0000s\u0000,\u0000 \u0000b\u0000r\u0000o\u0000m\u0000 \u0000r\u0000e\u0000d\u0000s\u0000h\u0000i\u0000f\u0000t\u0000,\u0000 \u0000v\u0000r\u0000a\u0000y\u0000,\u0000 \u0000o\u0000c\u0000t\u0000a\u0000n\u0000e\u0000 \u0000r\u0000e\u0000n\u0000d\u0000e\u0000r\u0000 \u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000w\u0000e\u0000d\u0000n\u0000e\u0000s\u0000d\u0000a\u0000y\u0000_\u0000a\u0000d\u0000d\u0000a\u0000m\u0000s\u0000_\u0000f\u0000l\u0000u\u0000x\u0000_\u0000l\u0000o\u0000r\u0000a\u0000_\u0000v\u00001\u0000_\u00000\u00000\u00000\u00000\u00000\u00001\u00006\u00000\u00000\u0000:\u00001\u0000>\u0000"
image = pipe(prompt).images[0]WA
- Prompt
- UNICODEhyper realistic photography portrait of heroic warhammer machine robotic android girl, eva green, wednesday addams, cinematic, chaos marine, artstation, cgsociety, full head and shoulders, greg rutkowski, james gurney, mignola, craig mullins, brom redshift, vray, octane render <lora:wednesday_addams_flux_lora_v1_000001600:1>
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Base model
black-forest-labs/FLUX.1-dev