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[hot] to trigger the image generation.1from diffusers import AutoPipelineForText2Image
2import torch
3
4pipeline = AutoPipelineForText2Image.from_pretrained('camenduru/FLUX.1-dev-ungated', torch_dtype=torch.bfloat16).to('cuda')
5pipeline.load_lora_weights('resnet101/hot-art-lora', weight_name='hot-art_000000900.safetensors')
6image = pipeline('[hot]').images[0]
7image.save("my_image.png")