Use Hugging Face HTTP API to determine task types

src/index.ts

@@ -5,6 +5,7 @@ import HFInferenceProviderClient from './hf.js';
 
 const hf = new HFInferenceProviderClient({provider: 'replicate'});
 
+// Hit the Replicate API to get the warm/cold status for the given model
 const getModelStatus = async (model: InferenceModel) => {
 	try {
 		const [modelName, _modelVersion] = model.providerModel.split(":");
@@ -19,13 +20,25 @@ const getModelStatus = async (model: InferenceModel) => {
 	}
 };
 
-// Get Replicate model warm/cold statuses in parallel
-const statuses = await Promise.all(inferenceModels.map(getModelStatus));
+// Hit the Hugging Face API to get the Task™ type for the given model,
+// e.g. "text-to-image", "image-to-image", "text-to-video", etc.
+const getModelTask = async (model: InferenceModel) => {
+	const response = await fetch(`https://huggingface.co/api/models/${model.hfModel}`);
+	const data = await response.json() as { pipeline_tag: string };
+	return data.pipeline_tag;
+};
+
+// Get Replicate model warm/cold statuses and Hugging Face tasks in parallel
+const [statuses, tasks] = await Promise.all([
+	Promise.all(inferenceModels.map(getModelStatus)),
+	Promise.all(inferenceModels.map(getModelTask))
+]);
 
-// Set status (unless it's already manually defined on the model object)
+// Set status and task (unless they're already manually defined on the model object)
 const replicateModels = inferenceModels.map((model, index) => ({
     ...model,
     status: model.status ?? statuses[index],
+    task: model.task ?? tasks[index],
 }));
 
 console.log("\n\nReplicate model mappings:");

src/models.ts

@@ -1,7 +1,7 @@
 export interface InferenceModel {
     hfModel: string;
     providerModel: string;
-    task: string;
+    task?: string;
 
     // You can set this to force the value, e.g. to keep a model as 'staging' even if it's
     // warm/live on Replicate. If not set, the status will be inferred from the provider model
@@ -12,68 +12,55 @@ export const inferenceModels: InferenceModel[] = [
     {
         hfModel: "deepseek-ai/DeepSeek-R1",
         providerModel: "deepseek-ai/deepseek-r1",
-        task: "conversational",
         status: "staging",
     },
     {
         hfModel: "black-forest-labs/FLUX.1-dev",
         providerModel: "black-forest-labs/flux-dev",
-        task: "text-to-image",
     },
     {
         hfModel: "black-forest-labs/FLUX.1-schnell",
         providerModel: "black-forest-labs/flux-schnell",
-        task: "text-to-image",
     },
     {
         hfModel: "ByteDance/Hyper-SD",
         providerModel: "bytedance/hyper-flux-16step:382cf8959fb0f0d665b26e7e80b8d6dc3faaef1510f14ce017e8c732bb3d1eb7",
-        task: "text-to-image",
     },
     {
         hfModel: "ByteDance/SDXL-Lightning",
         providerModel: "bytedance/sdxl-lightning-4step:5599ed30703defd1d160a25a63321b4dec97101d98b4674bcc56e41f62f35637",
-        task: "text-to-image",
     },
     {
         hfModel: "playgroundai/playground-v2.5-1024px-aesthetic",
         providerModel: "playgroundai/playground-v2.5-1024px-aesthetic:a45f82a1382bed5c7aeb861dac7c7d191b0fdf74d8d57c4a0e6ed7d4d0bf7d24",
-        task: "text-to-image",
     },
     {
         hfModel: "stabilityai/stable-diffusion-3.5-large-turbo",
         providerModel: "stability-ai/stable-diffusion-3.5-large-turbo",
-        task: "text-to-image",
     },
     {
         hfModel: "stabilityai/stable-diffusion-3.5-large",
         providerModel: "stability-ai/stable-diffusion-3.5-large",
-        task: "text-to-image",
     },
     {
         hfModel: "stabilityai/stable-diffusion-3.5-medium",
         providerModel: "stability-ai/stable-diffusion-3.5-medium",
-        task: "text-to-image",
     },
     {
         hfModel: "stabilityai/stable-diffusion-xl-base-1.0",
         providerModel: "stability-ai/sdxl:7762fd07cf82c948538e41f63f77d685e02b063e37e496e96eefd46c929f9bdc",
-        task: "text-to-image",
     },
     {
         hfModel: "Efficient-Large-Model/Sana_Sprint_1.6B_1024px_diffusers",
         providerModel: "nvidia/sana-sprint-1.6b",
-        task: "text-to-image",
     },
     {
         hfModel: "OuteAI/OuteTTS-0.3-500M",
         providerModel: "jbilcke/oute-tts:39a59319327b27327fa3095149c5a746e7f2aee18c75055c3368237a6503cd26",
-        task: "text-to-speech",
     },
     {
         hfModel: "genmo/mochi-1-preview",
         providerModel: "genmoai/mochi-1:1944af04d098ef69bed7f9d335d102e652203f268ec4aaa2d836f6217217e460",
-        task: "text-to-video",
     },
     {
         hfModel: "Wan-AI/Wan2.1-T2V-14B",
@@ -93,21 +80,17 @@ export const inferenceModels: InferenceModel[] = [
     {
         hfModel: "Wan-AI/Wan2.1-T2V-1.3B",
         providerModel: "wan-video/wan-2.1-1.3b",
-        task: "text-to-video",
     },
     {
         hfModel: "Lightricks/LTX-Video",
         providerModel: "lightricks/ltx-video:8c47da666861d081eeb4d1261853087de23923a268a69b63febdf5dc1dee08e4",
-        task: "text-to-video",
     },
     {
         hfModel: "zeke/rider-waite-tarot-flux",
         providerModel: "tarot-cards/rider-waite:6d77a07ef88e8a09389385cb14d98b12629a4b23b0537b01dfeb833c32827546",
-        task: "text-to-image",
     },
     {
         hfModel: "stepfun-ai/Step1X-Edit",
         providerModel: "zsxkib/step1x-edit",
-        task: "image-to-image",
     },
 ];