import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Raw", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Rand000mGuy/camille")
prompt = "UNICODE\u0000\u0000C\u0000A\u0000M\u0000I\u0000L\u0000L\u0000E\u0000L\u0000D\u0000C\u0000,\u0000 \u0000c\u0000l\u0000o\u0000s\u0000e\u0000-\u0000u\u0000p\u0000 \u0000p\u0000o\u0000r\u0000t\u0000r\u0000a\u0000i\u0000t\u0000,\u0000 \u0000d\u0000a\u0000r\u0000k\u0000 \u0000s\u0000h\u0000o\u0000u\u0000l\u0000d\u0000e\u0000r\u0000-\u0000l\u0000e\u0000n\u0000g\u0000t\u0000h\u0000 \u0000w\u0000a\u0000v\u0000y\u0000 \u0000h\u0000a\u0000i\u0000r\u0000,\u0000 \u0000n\u0000e\u0000u\u0000t\u0000r\u0000a\u0000l\u0000 \u0000m\u0000a\u0000k\u0000e\u0000u\u0000p\u0000,\u0000 \u0000b\u0000l\u0000a\u0000c\u0000k\u0000 \u0000t\u0000u\u0000r\u0000t\u0000l\u0000e\u0000n\u0000e\u0000c\u0000k\u0000,\u0000 \u0000l\u0000o\u0000o\u0000k\u0000i\u0000n\u0000g\u0000 \u0000d\u0000i\u0000r\u0000e\u0000c\u0000t\u0000l\u0000y\u0000 \u0000a\u0000t\u0000 \u0000t\u0000h\u0000e\u0000 \u0000c\u0000a\u0000m\u0000e\u0000r\u0000a\u0000 \u0000w\u0000i\u0000t\u0000h\u0000 \u0000a\u0000 \u0000r\u0000e\u0000l\u0000a\u0000x\u0000e\u0000d\u0000 \u0000e\u0000x\u0000p\u0000r\u0000e\u0000s\u0000s\u0000i\u0000o\u0000n\u0000,\u0000 \u0000o\u0000v\u0000e\u0000r\u0000c\u0000a\u0000s\u0000t\u0000 \u0000o\u0000u\u0000t\u0000d\u0000o\u0000o\u0000r\u0000 \u0000d\u0000a\u0000y\u0000l\u0000i\u0000g\u0000h\u0000t\u0000,\u0000 \u0000b\u0000l\u0000u\u0000r\u0000r\u0000e\u0000d\u0000 \u0000u\u0000r\u0000b\u0000a\u0000n\u0000 \u0000b\u0000a\u0000c\u0000k\u0000g\u0000r\u0000o\u0000u\u0000n\u0000d\u0000.\u0000"
image = pipe(prompt).images[0]camille_Q
- Prompt
- UNICODECAMILLELDC, close-up portrait, dark shoulder-length wavy hair, neutral makeup, black turtleneck, looking directly at the camera with a relaxed expression, overcast outdoor daylight, blurred urban background.
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Base model
krea/Krea-2-Raw