Datasets, models and summary added to text-to-image task

tasks/src/text-to-image/data.ts

@@ -0,0 +1,34 @@
+import type { TaskDataCustom } from "../Types";
+
+const taskData: TaskDataCustom = {
+    datasets: [
+        {
+            description: "RedCaps is a large-scale dataset of 12M image-text pairs collected from Reddit.",
+            id:          "red_caps",
+        },
+        {
+            description: "Conceptual Captions is a dataset consisting of ~3.3M images annotated with captions.",
+            id:          "conceptual_captions",
+        },
+    ],
+    demo: {
+        inputs: [],
+        outputs: [],
+    },
+    metrics: [],
+    models: [
+        {
+            description: "A model that can be used to generate images based on text prompts. The DALL·E Mega model is the largest version of DALLE Mini.",
+            id:          "dalle-mini/dalle-mega",
+        },
+        {
+            description: "A latent text-to-image diffusion model capable of generating photo-realistic images given any text input.",
+            id:          "CompVis/stable-diffusion-v1-4",
+        },
+    ],
+    summary:      "Generates images from input text. These models can be used to generate and modify images based on text prompts.",
+    widgetModels: [],
+    youtubeId:    "",
+};
+
+export default taskData;