lora.json

{
    "variables": {
        "prompt": "A realistic photograph of a masculine looking female mouse playing volleyball against a team of professional volleyball players.",
        "lora": "XLabs-AI/flux-RealismLora",
        "num_images_per_prompt": 1,
        "num_inference_steps": 25,
        "guidance_scale": 3.5
    },
    "id": "FluxLora",
    "description": "FLUX.1 dev with a LoRA adapter. The same 'loras' list works on any pipeline that supports adapters - on StableDiffusion3Pipeline with 'stabilityai/stable-diffusion-3.5-large' and the 'linoyts/yart_art_sd3-5_lora' adapter, for instance.",
    "steps": [
        {
            "name": "txt2img",
            "pipeline": {
                "configuration": {
                    "component_type": "FluxPipeline",
                    "offload": "model",
                    "vae": {
                        "enable_slicing": true,
                        "enable_tiling": true
                    }
                },
                "from_pretrained_arguments": {
                    "model_name": "black-forest-labs/FLUX.1-dev",
                    "torch_dtype": "torch.bfloat16"
                },
                "loras": [
                    {
                        "model_name": "variable:lora"
                    }
                ],
                "arguments": {
                    "prompt": "variable:prompt",
                    "guidance_scale": "variable:guidance_scale",
                    "num_inference_steps": "variable:num_inference_steps",
                    "num_images_per_prompt": "variable:num_images_per_prompt",
                    "max_sequence_length": 512
                }
            },
            "result": {
                "content_type": "image/jpeg",
                "embed_metadata": true,
                "save": true
            }
        }
    ]
}