import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Lakonik/AsymFLUX.2-klein-9B", torch_dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Rand000mGuy/shoshi")
prompt = "UNICODE\u0000\u0000t\u0000h\u0000r\u0000e\u0000e\u0000-\u0000q\u0000u\u0000a\u0000r\u0000t\u0000e\u0000r\u0000 \u0000p\u0000o\u0000r\u0000t\u0000r\u0000a\u0000i\u0000t\u0000 \u0000o\u0000f\u0000 \u0000s\u0000h\u0000o\u0000s\u0000h\u0000i\u0000c\u0000 \u0000b\u0000y\u0000 \u0000a\u0000 \u0000w\u0000i\u0000n\u0000d\u0000o\u0000w\u0000 \u0000i\u0000n\u0000 \u0000a\u0000 \u0000q\u0000u\u0000i\u0000e\u0000t\u0000 \u0000c\u0000a\u0000f\u0000e\u0000,\u0000 \u0000h\u0000e\u0000a\u0000d\u0000 \u0000t\u0000u\u0000r\u0000n\u0000e\u0000d\u0000 \u0000s\u0000l\u0000i\u0000g\u0000h\u0000t\u0000l\u0000y\u0000 \u0000a\u0000w\u0000a\u0000y\u0000 \u0000f\u0000r\u0000o\u0000m\u0000 \u0000t\u0000h\u0000e\u0000 \u0000c\u0000a\u0000m\u0000e\u0000r\u0000a\u0000,\u0000 \u0000s\u0000o\u0000f\u0000t\u0000 \u0000n\u0000a\u0000t\u0000u\u0000r\u0000a\u0000l\u0000 \u0000d\u0000a\u0000y\u0000l\u0000i\u0000g\u0000h\u0000t\u0000,\u0000 \u0000c\u0000a\u0000l\u0000m\u0000 \u0000e\u0000x\u0000p\u0000r\u0000e\u0000s\u0000s\u0000i\u0000o\u0000n\u0000,\u0000 \u0000r\u0000e\u0000a\u0000l\u0000i\u0000s\u0000t\u0000i\u0000c\u0000 \u0000p\u0000h\u0000o\u0000t\u0000o\u0000g\u0000r\u0000a\u0000p\u0000h\u0000y\u0000,\u0000 \u0000h\u0000i\u0000g\u0000h\u0000l\u0000y\u0000 \u0000d\u0000e\u0000t\u0000a\u0000i\u0000l\u0000e\u0000d\u0000 \u0000f\u0000a\u0000c\u0000i\u0000a\u0000l\u0000 \u0000s\u0000t\u0000r\u0000u\u0000c\u0000t\u0000u\u0000r\u0000e\u0000"
image = pipe(prompt).images[0]shoshi
- Prompt
- UNICODEthree-quarter portrait of shoshic by a window in a quiet cafe, head turned slightly away from the camera, soft natural daylight, calm expression, realistic photography, highly detailed facial structure
Download model
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Model tree for Rand000mGuy/shoshi
Base model
black-forest-labs/FLUX.2-klein-base-9B Finetuned
Lakonik/AsymFLUX.2-klein-9B