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/Zerocomix")
prompt = "UNICODE\u0000\u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000v\u00001\u00005\u0000_\u0000z\u0000z\u0000z\u0000_\u0000c\u0000o\u0000m\u0000i\u0000x\u00002\u0000_\u00000\u00000\u00000\u00000\u00000\u00005\u00007\u00005\u00000\u0000:\u00001\u0000>\u0000 \u0000z\u0000z\u0000z\u0000g\u0000a\u0000m\u0000e\u0000c\u0000o\u0000m\u0000i\u0000x\u0000 \u0000s\u0000t\u0000y\u0000l\u0000e\u0000,\u0000 \u0000s\u0000k\u0000y\u0000r\u0000i\u0000m\u0000 \u0000t\u0000h\u0000e\u0000m\u0000e\u0000d\u0000,\u0000 \u0000a\u0000 \u0000w\u0000a\u0000r\u0000r\u0000i\u0000o\u0000r\u0000 \u0000w\u0000e\u0000a\u0000r\u0000i\u0000n\u0000g\u0000 \u0000l\u0000e\u0000a\u0000t\u0000h\u0000e\u0000r\u0000 \u0000a\u0000r\u0000m\u0000o\u0000r\u0000 \u0000a\u0000n\u0000d\u0000 \u0000h\u0000o\u0000r\u0000n\u0000e\u0000d\u0000 \u0000h\u0000e\u0000l\u0000m\u0000e\u0000t\u0000,\u0000 \u00002\u0000 \u0000s\u0000w\u0000o\u0000r\u0000d\u0000s\u0000 \u0000i\u0000n\u0000 \u0000h\u0000a\u0000n\u0000d\u0000,\u0000 \u0000l\u0000o\u0000o\u0000k\u0000i\u0000n\u0000g\u0000 \u0000u\u0000p\u0000 \u0000a\u0000t\u0000 \u0000t\u0000h\u0000e\u0000 \u0000s\u0000k\u0000y\u0000,\u0000 \u0000a\u0000 \u0000d\u0000a\u0000r\u0000k\u0000 \u0000d\u0000e\u0000m\u0000o\u0000n\u0000i\u0000c\u0000 \u0000d\u0000r\u0000a\u0000g\u0000o\u0000n\u0000 \u0000i\u0000s\u0000 \u0000f\u0000l\u0000y\u0000i\u0000n\u0000g\u0000 \u0000i\u0000n\u0000 \u0000t\u0000h\u0000e\u0000 \u0000a\u0000i\u0000r\u0000 \u0000i\u0000n\u0000 \u0000c\u0000i\u0000r\u0000c\u0000l\u0000e\u0000s\u0000,\u0000 \u0000s\u0000n\u0000o\u0000w\u0000 \u0000p\u0000e\u0000a\u0000k\u0000e\u0000d\u0000 \u0000m\u0000o\u0000u\u0000n\u0000t\u0000a\u0000i\u0000n\u0000s\u0000 \u0000i\u0000n\u0000 \u0000b\u0000a\u0000c\u0000k\u0000g\u0000r\u0000o\u0000u\u0000n\u0000d\u0000,\u0000 \u0000s\u0000m\u0000a\u0000l\u0000l\u0000 \u0000v\u0000i\u0000l\u0000l\u0000a\u0000g\u0000e\u0000,\u0000 \u0000v\u0000e\u0000r\u0000y\u0000 \u0000d\u0000e\u0000t\u0000a\u0000i\u0000l\u0000e\u0000d\u0000,\u0000 \u0000m\u0000a\u0000s\u0000t\u0000e\u0000r\u0000p\u0000i\u0000e\u0000c\u0000e\u0000,\u0000 \u0000a\u0000d\u0000v\u0000e\u0000n\u0000t\u0000u\u0000r\u0000o\u0000u\u0000s\u0000,\u0000 \u0000c\u0000l\u0000o\u0000u\u0000d\u0000y\u0000 \u0000s\u0000k\u0000y\u0000,\u0000 \u0000h\u0000y\u0000e\u0000n\u0000a \u000b \u000b \u000b\u0000"
image = pipe(prompt).images[0]Zerocomix
- Prompt
- UNICODE<lora:v15_zzz_comix2_000005750:1> zzzgamecomix style, skyrim themed, a warrior wearing leather armor and horned helmet, 2 swords in hand, looking up at the sky, a dark demonic dragon is flying in the air in circles, snow peaked mountains in background, small village, very detailed, masterpiece, adventurous, cloudy sky, hyena
Trigger words
You should use zzzgamecomix style 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/Zerocomix
Base model
black-forest-labs/FLUX.1-dev