from diffusers import AutoPipelineForText2Image
import torch

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('AhmedSHAWKI/egyptian-actor-adel-imam-elderly-version-flux-lora', weight_name='ADEL_IMAM_OLD.safetensors')
image = pipeline('`ADIMO`').images[0]

For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers

AhmedSHAWKI/egyptian-actor-adel-imam-elderly-version-flux-lora

Egyptian Actor - ADEL IMAM (ELDERLY VERSION) Flux - LoRa

Model description

This is a LORA of a ADEL IMAM ELDERLY VERSIONplease use: "ADIMO" as Trigger Word

Trigger words

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AhmedSHAWKI/
egyptian-actor-adel-imam-elderly-version-flux-lora

This is a LORA of a ADEL IMAM ELDERLY VERSION
please use: "ADIMO" as Trigger Word