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sammiedanielsflux to trigger the image generation.1from diffusers import AutoPipelineForText2Image
2import torch
3
4device = "cuda" if torch.cuda.is_available() else "cpu"
5
6pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
7pipeline.load_lora_weights('Keltezaa/sammie-daniels', weight_name='sammiedanielsflux.safetensors')
8image = pipeline('photo of sammiedanielsflux, blonde, Chef's Coat at Cooking Class, ').images[0]