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carol9_trani9r to trigger the image generation.1from diffusers import AutoPipelineForText2Image
2import torch
3pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.float16).to('cuda')
4pipeline.load_lora_weights('obann001/Carole_Tranier_Flux_LoRA', weight_name='carol9_trani9r_v1_flux_lora_rank64_bf16-step00750.safetensors')
5image = pipeline('your prompt').images[0]