pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.float16).to('cuda') pipeline.load_lora_weights('sahirp/flux-model-19dc62bc-6ca2-423f-b2d2-28c870fd5c3d', weight_name='lora.safetensors') image = pipeline('your prompt').images[0]

For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)