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("aiPhone13/Jewell")
prompt = "UNICODE\u0000\u0000J\u0000e\u0000w\u0000e\u0000l\u0000l\u0000 \u0000a\u0000n\u0000d\u0000 \u0000S\u0000a\u0000s\u0000h\u0000a\u0000 \u0000s\u0000i\u0000t\u0000t\u0000i\u0000n\u0000g\u0000 \u0000o\u0000n\u0000 \u0000a\u0000 \u0000b\u0000e\u0000n\u0000c\u0000h\u0000 \u0000i\u0000n\u0000 \u0000t\u0000h\u0000e\u0000 \u0000p\u0000a\u0000r\u0000k\u0000.\u0000"
image = pipe(prompt).images[0] A newer version of this model is available: black-forest-labs/FLUX.1-schnell
SashaJ
- Prompt
- UNICODEJewell and Sasha sitting on a bench in the park.
- Prompt
- UNICODEJewell and Sasha sitting on a bench in the park.
- Prompt
- UNICODEPerson 1: Sasha. Person 2: Jewell. A couple of brides, a man and a woman, pose for a photo. Portrait photo.
- Prompt
- UNICODEPerson 1: Sasha. Person 2: Jewell. A couple of brides, a man and a woman, pose for a photo. Portrait photo.
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Base model
black-forest-labs/FLUX.1-dev