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("sridevshenoy/laxman")
prompt = "UNICODE\u0000\u0000c\u0000l\u0000o\u0000s\u0000e\u0000u\u0000p\u0000 \u0000p\u0000o\u0000r\u0000t\u0000r\u0000a\u0000i\u0000t\u0000 \u0000s\u0000h\u0000o\u0000t\u0000,\u0000 \u0000i\u0000n\u0000d\u0000i\u0000a\u0000n\u0000 \u0000m\u0000a\u0000l\u0000e\u0000 \u0000m\u0000o\u0000d\u0000e\u0000l\u0000,\u0000 \u00001\u00009\u0000 \u0000y\u0000e\u0000a\u0000r\u0000s\u0000 \u0000o\u0000l\u0000d\u0000,\u0000 \u0000s\u0000t\u0000u\u0000b\u0000b\u0000l\u0000e\u0000,\u0000 \u0000b\u0000u\u0000s\u0000h\u0000y\u0000 \u0000e\u0000y\u0000e\u0000b\u0000r\u0000o\u0000w\u0000s\u0000,\u0000 \u0000s\u0000t\u0000y\u0000l\u0000e\u0000d\u0000 \u0000h\u0000a\u0000i\u0000r\u0000 \u0000s\u0000h\u0000i\u0000r\u0000t\u0000l\u0000e\u0000s\u0000s\u0000,\u0000 \u0000c\u0000h\u0000e\u0000s\u0000t\u0000 \u0000h\u0000a\u0000i\u0000r\u0000,\u0000 \u0000s\u0000h\u0000a\u0000l\u0000l\u0000o\u0000w\u0000 \u0000d\u0000e\u0000p\u0000t\u0000h\u0000 \u0000o\u0000f\u0000 \u0000f\u0000i\u0000e\u0000l\u0000d\u0000,\u0000 \u0000K\u0000o\u0000d\u0000a\u0000c\u0000h\u0000r\u0000o\u0000m\u0000e\u0000,\u0000 \u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000m\u0000l\u0000m\u0000d\u0000l\u0000s\u0000_\u0000i\u0000n\u0000d\u0000i\u0000a\u0000n\u0000X\u0000L\u0000:\u00001\u0000>\u0000,\u0000 \u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000J\u0000u\u0000g\u0000g\u0000e\u0000r\u0000C\u0000i\u0000n\u0000e\u0000X\u0000L\u00002\u0000:\u00001\u0000>\u0000 \u0000"
image = pipe(prompt).images[0]laxman
- Prompt
- UNICODEcloseup portrait shot, indian male model, 19 years old, stubble, bushy eyebrows, styled hair shirtless, chest hair, shallow depth of field, Kodachrome, <lora:mlmdls_indianXL:1>, <lora:JuggerCineXL2:1>
Trigger words
You should use indian male model to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for sridevshenoy/laxman
Base model
black-forest-labs/FLUX.1-dev