import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("city96/FLUX.1-dev-gguf", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("sanoxd/Szspdl")
prompt = "UNICODE\u0000\u0000K\u0000a\u0000l\u0000i\u0000k\u0000 \u0000a\u0000m\u0000a\u0000t\u0000e\u0000u\u0000r\u0000 \u0000p\u0000h\u0000o\u0000t\u0000o\u0000,\u0000 \u0000l\u0000o\u0000w\u0000-\u0000l\u0000i\u0000t\u0000,\u0000 \u0000L\u0000o\u0000w\u0000-\u0000r\u0000e\u0000s\u0000o\u0000l\u0000u\u0000t\u0000i\u0000o\u0000n\u0000 \u0000p\u0000h\u0000o\u0000t\u0000o\u0000,\u0000 \u0000s\u0000h\u0000o\u0000t\u0000 \u0000o\u0000n\u0000 \u0000a\u0000 \u0000m\u0000o\u0000b\u0000i\u0000l\u0000e\u0000 \u0000p\u0000h\u0000o\u0000n\u0000e\u0000,\u0000 \u0000n\u0000i\u0000g\u0000h\u0000t\u0000t\u0000i\u0000m\u0000e\u0000,\u0000 \u0000n\u0000o\u0000t\u0000i\u0000c\u0000e\u0000a\u0000b\u0000l\u0000e\u0000 \u0000n\u0000o\u0000i\u0000s\u0000e\u0000 \u0000i\u0000n\u0000 \u0000d\u0000a\u0000r\u0000k\u0000 \u0000a\u0000r\u0000e\u0000a\u0000s\u0000.\u0000 \u0000 \u0000s\u0000l\u0000i\u0000m\u0000 \u0000t\u0000h\u0000i\u0000c\u0000k\u0000 \u0000L\u0000a\u0000t\u0000i\u0000n\u0000a\u0000 \u0000b\u0000o\u0000d\u0000y\u0000,\u0000 \u0000h\u0000u\u0000g\u0000e\u0000 \u0000b\u0000r\u0000e\u0000a\u0000s\u0000t\u0000s\u0000,\u0000 \u0000d\u0000r\u0000e\u0000s\u0000s\u0000e\u0000d\u0000 \u0000i\u0000n\u0000 \u0000a\u0000n\u0000 \u0000b\u0000i\u0000k\u0000i\u0000n\u0000i\u0000,\u0000 \u0000h\u0000e\u0000r\u0000 \u0000g\u0000a\u0000z\u0000e\u0000 \u0000d\u0000i\u0000r\u0000e\u0000c\u0000t\u0000e\u0000d\u0000 \u0000t\u0000o\u0000 \u0000t\u0000h\u0000e\u0000 \u0000s\u0000i\u0000d\u0000e\u0000,\u0000 \u0000s\u0000a\u0000d\u0000 \u0000e\u0000x\u0000p\u0000r\u0000e\u0000s\u0000s\u0000i\u0000o\u0000n\u0000,\u0000 \u0000h\u0000o\u0000l\u0000d\u0000 \u0000c\u0000u\u0000p\u0000 \u0000o\u0000f\u0000 \u0000c\u0000o\u0000f\u0000f\u0000e\u0000e\u0000,\u0000H\u0000e\u0000r\u0000 \u0000f\u0000a\u0000c\u0000e\u0000 \u0000p\u0000a\u0000r\u0000t\u0000i\u0000a\u0000l\u0000l\u0000y\u0000 \u0000s\u0000h\u0000a\u0000d\u0000o\u0000w\u0000e\u0000d\u0000.\u0000 \u0000s\u0000h\u0000e\u0000 \u0000i\u0000s\u0000 \u0000s\u0000t\u0000a\u0000n\u0000d\u0000i\u0000n\u0000g\u0000 \u0000o\u0000n\u0000 \u0000t\u0000h\u0000e\u0000 \u0000s\u0000t\u0000r\u0000e\u0000e\u0000t\u0000 \u0000n\u0000e\u0000a\u0000r\u0000 \u0000s\u0000o\u0000v\u0000i\u0000e\u0000t\u0000-\u0000e\u0000r\u0000a\u0000 \u0000s\u0000t\u0000o\u0000r\u0000e\u0000y\u0000 \u0000b\u0000u\u0000i\u0000l\u0000d\u0000i\u0000n\u0000g\u0000s\u0000,\u0000 \u0000t\u0000r\u0000e\u0000e\u0000s\u0000,\u0000 \u0000p\u0000a\u0000r\u0000k\u0000e\u0000d\u0000 \u0000c\u0000a\u0000r\u0000s\u0000 \u0000n\u0000e\u0000a\u0000r\u0000.\u0000 \u0000D\u0000u\u0000l\u0000l\u0000,\u0000 \u0000o\u0000v\u0000e\u0000r\u0000c\u0000a\u0000s\u0000t\u0000 \u0000l\u0000i\u0000g\u0000h\u0000t\u0000i\u0000n\u0000g\u0000"
image = pipe(prompt).images[0]Kalik
- Prompt
- UNICODEKalik amateur photo, low-lit, Low-resolution photo, shot on a mobile phone, nighttime, noticeable noise in dark areas. slim thick Latina body, huge breasts, dressed in an bikini, her gaze directed to the side, sad expression, hold cup of coffee,Her face partially shadowed. she is standing on the street near soviet-era storey buildings, trees, parked cars near. Dull, overcast lighting
Trigger words
You should use Kalik to trigger the image generation.
Download model
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