import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("MarkBW/polaroid-vision")
prompt = "UNICODE\u0000\u00001\u0000g\u0000i\u0000r\u0000l\u0000,\u0000 \u0000b\u0000l\u0000u\u0000r\u0000r\u0000y\u0000,\u0000 \u0000b\u0000l\u0000u\u0000r\u0000r\u0000y\u0000 \u0000b\u0000a\u0000c\u0000k\u0000g\u0000r\u0000o\u0000u\u0000n\u0000d\u0000,\u0000 \u0000c\u0000i\u0000t\u0000y\u0000s\u0000c\u0000a\u0000p\u0000e\u0000,\u0000 \u0000l\u0000e\u0000n\u0000s\u0000 \u0000f\u0000l\u0000a\u0000r\u0000e\u0000,\u0000 \u0000l\u0000o\u0000o\u0000k\u0000i\u0000n\u0000g\u0000 \u0000a\u0000t\u0000 \u0000v\u0000i\u0000e\u0000w\u0000e\u0000r\u0000,\u0000 \u0000m\u0000o\u0000t\u0000i\u0000o\u0000n\u0000 \u0000b\u0000l\u0000u\u0000r\u0000,\u0000 \u0000o\u0000u\u0000t\u0000d\u0000o\u0000o\u0000r\u0000s\u0000,\u0000 \u0000p\u0000h\u0000o\u0000t\u0000o\u0000 \u0000\\\u0000(\u0000m\u0000e\u0000d\u0000i\u0000u\u0000m\u0000\\\u0000)\u0000,\u0000 \u0000p\u0000h\u0000o\u0000t\u0000o\u0000r\u0000e\u0000a\u0000l\u0000i\u0000s\u0000t\u0000i\u0000c\u0000,\u0000 \u0000p\u0000o\u0000l\u0000a\u0000r\u0000o\u0000i\u0000d\u0000_\u0000s\u0000t\u0000y\u0000l\u0000e\u0000,\u0000 \u0000r\u0000e\u0000a\u0000l\u0000i\u0000s\u0000t\u0000i\u0000c\u0000,\u0000 \u0000s\u0000h\u0000o\u0000r\u0000t\u0000 \u0000h\u0000a\u0000i\u0000r\u0000,\u0000 \u0000s\u0000o\u0000l\u0000o\u0000"
image = pipe(prompt).images[0]polaroid-vision
- Prompt
- UNICODE1girl, blurry, blurry background, cityscape, lens flare, looking at viewer, motion blur, outdoors, photo \(medium\), photorealistic, polaroid_style, realistic, short hair, solo
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