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('Purz/fat-nugs', weight_name='purz-f4t_nug5.safetensors')
image = pipeline('f4t_nug5, the word "Civitai" made out of marijuana buds').images[0]
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