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("Jmorgan5577/Morgan")
prompt = "UNICODE\u0000\u0000M\u0000e\u0000d\u0000i\u0000u\u0000m\u0000 \u0000h\u0000i\u0000g\u0000h\u0000 \u0000R\u0000e\u0000s\u0000o\u0000l\u0000u\u0000t\u0000i\u0000o\u0000n\u0000 \u0000s\u0000h\u0000o\u0000t\u0000 \u0000o\u0000f\u0000 \u0000a\u0000n\u0000 \u00001\u00008\u0000y\u0000o\u0000 \u0000S\u0000k\u0000i\u0000n\u0000n\u0000y\u0000 \u0000b\u0000l\u0000a\u0000c\u0000k\u0000 \u0000m\u0000a\u0000n\u0000 \u0000n\u0000a\u0000m\u0000e\u0000d\u0000 \u0000M\u0000o\u0000r\u0000g\u0000a\u0000n\u0000 \u0000s\u0000t\u0000a\u0000n\u0000d\u0000i\u0000n\u0000g\u0000 \u0000f\u0000a\u0000c\u0000i\u0000n\u0000g\u0000 \u0000f\u0000o\u0000r\u0000w\u0000a\u0000r\u0000d\u0000 \u0000a\u0000n\u0000d\u0000 \u0000l\u0000o\u0000o\u0000k\u0000i\u0000n\u0000g\u0000 \u0000a\u0000t\u0000 \u0000c\u0000a\u0000m\u0000e\u0000r\u0000a\u0000.\u0000"
image = pipe(prompt).images[0]Morgan
- Prompt
- UNICODEMedium high Resolution shot of an 18yo Skinny black man named Morgan standing facing forward and looking at camera.
Model description
Character named Morgan
Trigger words
You should use Morgan to trigger the image generation.
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Base model
black-forest-labs/FLUX.1-dev