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("rorito/perfecthandFlux")
prompt = "UNICODE\u0000\u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000H\u0000a\u0000n\u0000d\u0000 \u0000v\u00002\u0000:\u00001\u0000>\u0000"
image = pipe(prompt).images[0]fluxhand

- Prompt
- UNICODE<lora:Hand v2:1>
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