const taskData = {
    datasets: [],
    demo: {
        inputs: [
            {
                filename: "image-text-to-image-input.jpeg",
                type: "img",
            },
            {
                label: "Input",
                content: "A city above clouds, pastel colors, Victorian style",
                type: "text",
            },
        ],
        outputs: [
            {
                filename: "image-text-to-image-output.png",
                type: "img",
            },
        ],
    },
    metrics: [
        {
            description: "The Fréchet Inception Distance (FID) calculates the distance between distributions between synthetic and real samples. A lower FID score indicates better similarity between the distributions of real and generated images.",
            id: "FID",
        },
        {
            description: "CLIP Score measures the similarity between the generated image and the text prompt using CLIP embeddings. A higher score indicates better alignment with the text prompt.",
            id: "CLIP",
        },
    ],
    models: [
        {
            description: "A powerful model for image-text-to-image generation.",
            id: "black-forest-labs/FLUX.2-dev",
        },
    ],
    spaces: [
        {
            description: "An application for image-text-to-image generation.",
            id: "black-forest-labs/FLUX.2-dev",
        },
    ],
    summary: "Image-text-to-image models take an image and a text prompt as input and generate a new image based on the reference image and text instructions. These models are useful for image editing, style transfer, image variations, and guided image generation tasks.",
    widgetModels: ["black-forest-labs/FLUX.2-dev"],
    youtubeId: undefined,
};
export default taskData;
