diff --git a/packages/inference/src/lib/getProviderHelper.ts b/packages/inference/src/lib/getProviderHelper.ts
index d7cc87fb59..ff15172d20 100644
--- a/packages/inference/src/lib/getProviderHelper.ts
+++ b/packages/inference/src/lib/getProviderHelper.ts
@@ -140,6 +140,7 @@ export const PROVIDERS: Record<InferenceProvider, Partial<Record<InferenceTask,
 		"text-to-speech": new Replicate.ReplicateTextToSpeechTask(),
 		"text-to-video": new Replicate.ReplicateTextToVideoTask(),
 		"image-to-image": new Replicate.ReplicateImageToImageTask(),
+		"image-to-video": new Replicate.ReplicateImageToVideoTask(),
 	},
 	sambanova: {
 		conversational: new Sambanova.SambanovaConversationalTask(),
diff --git a/packages/inference/src/providers/replicate.ts b/packages/inference/src/providers/replicate.ts
index 97a6282769..f3073d08cf 100644
--- a/packages/inference/src/providers/replicate.ts
+++ b/packages/inference/src/providers/replicate.ts
@@ -213,3 +213,50 @@ export class ReplicateImageToImageTask extends ReplicateTask implements ImageToI
 		throw new InferenceClientProviderOutputError("Received malformed response from Replicate image-to-image API");
 	}
 }
+
+export class ReplicateImageToVideoTask extends ReplicateTask {
+	// Synchronous: expects base64 string in args.inputs
+	override preparePayload(params: BodyParams): Record<string, unknown> {
+		const { args } = params;
+		const { inputs, parameters } = args;
+		return {
+			input: {
+				...omit(args, ["inputs", "parameters"]),
+				...(parameters as Record<string, unknown>),
+				inputs,
+			},
+			version: params.model.includes(":") ? params.model.split(":")[1] : undefined,
+		};
+	}
+
+	// Asynchronous: handles Blob to base64 conversion
+	async preparePayloadAsync(args: { inputs: Blob } & Record<string, unknown>): Promise<RequestArgs> {
+		const { inputs, ...restArgs } = args;
+		const bytes = new Uint8Array(await inputs.arrayBuffer());
+		const base64 = base64FromBytes(bytes);
+		const imageInput = `data:${inputs.type || "image/png"};base64,${base64}`;
+		return {
+			...restArgs,
+			inputs: imageInput,
+		};
+	}
+
+	// Handle the response from Replicate
+	override async getResponse(response: ReplicateOutput): Promise<Blob> {
+		if (
+			typeof response === "object" &&
+			!!response &&
+			"output" in response
+		) {
+			if (Array.isArray(response.output) && response.output.length > 0 && typeof response.output[0] === "string") {
+				const urlResponse = await fetch(response.output[0]);
+				return await urlResponse.blob();
+			}
+			if (typeof response.output === "string" && isUrl(response.output)) {
+				const urlResponse = await fetch(response.output);
+				return await urlResponse.blob();
+			}
+		}
+		throw new InferenceClientProviderOutputError("Received malformed response from Replicate image-to-video API");
+	}
+}
diff --git a/packages/inference/test/InferenceClient.spec.ts b/packages/inference/test/InferenceClient.spec.ts
index 29cccce8eb..d957d3080b 100644
--- a/packages/inference/test/InferenceClient.spec.ts
+++ b/packages/inference/test/InferenceClient.spec.ts
@@ -1289,6 +1289,18 @@ describe.skip("InferenceClient", () => {
 				});
 				expect(res).toBeInstanceOf(Blob);
 			});
+
+			it("imageToVideo - MeiGen-AI/MeiGen-MultiTalk", async () => {
+				const res = await client.imageToVideo({
+					model: "MeiGen-AI/MeiGen-MultiTalk",
+					provider: "replicate",
+					inputs: new Blob([readTestFile("bird_canny.png")], { type: "image/png" }),
+					parameters: {
+						prompt: "A bird flying in the sky",
+					},
+				});
+				expect(res).toBeInstanceOf(Blob);
+			});
 		},
 		TIMEOUT
 	);