[inference provider] wavespeed support images field (#1839)

Support i2i and i2v to pass in the public parameters of images

test:
<img width="1602" height="764"
alt="img_v3_02s0_e3d125d3-59e4-47d3-ac3d-8743a458e79g"
src="https://github.com/user-attachments/assets/16165f72-8b4a-4f44-8ffb-49edae2797c3"
/>

---------

Co-authored-by: célina <[email protected]>

Author: arabot777

packages/inference/src/providers/wavespeed.ts

@@ -69,6 +69,20 @@ interface WaveSpeedAISubmitTaskResponse {
 	data: WaveSpeedAISubmitResponse;
 }
 
+async function buildImagesField(
+	inputs: Blob | ArrayBuffer,
+	hasImages: unknown
+): Promise<{ base: string; images: string[] }> {
+	const base = base64FromBytes(
+		new Uint8Array(inputs instanceof ArrayBuffer ? inputs : await (inputs as Blob).arrayBuffer())
+	);
+	const images =
+		Array.isArray(hasImages) && hasImages.every((value): value is string => typeof value === "string")
+			? hasImages
+			: [base];
+	return { base, images };
+}
+
 abstract class WavespeedAITask extends TaskProviderHelper {
 	constructor(url?: string) {
 		super("wavespeed", url || WAVESPEEDAI_API_BASE_URL);
@@ -83,7 +97,7 @@ abstract class WavespeedAITask extends TaskProviderHelper {
 	): Record<string, unknown> {
 		const payload: Record<string, unknown> = {
 			...omit(params.args, ["inputs", "parameters"]),
-			...params.args.parameters,
+			...(params.args.parameters ? omit(params.args.parameters as Record<string, unknown>, ["images"]) : undefined),
 			prompt: params.args.inputs,
 		};
 		// Add LoRA support if adapter is specified in the mapping
@@ -188,13 +202,10 @@ export class WavespeedAIImageToImageTask extends WavespeedAITask implements Imag
 	}
 
 	async preparePayloadAsync(args: ImageToImageArgs): Promise<RequestArgs> {
-		return {
-			...args,
-			inputs: args.parameters?.prompt,
-			image: base64FromBytes(
-				new Uint8Array(args.inputs instanceof ArrayBuffer ? args.inputs : await (args.inputs as Blob).arrayBuffer())
-			),
-		};
+		const hasImages =
+			(args as { images?: unknown }).images ?? (args.parameters as Record<string, unknown> | undefined)?.images;
+		const { base, images } = await buildImagesField(args.inputs as Blob | ArrayBuffer, hasImages);
+		return { ...args, inputs: args.parameters?.prompt, image: base, images };
 	}
 }
 
@@ -204,12 +215,9 @@ export class WavespeedAIImageToVideoTask extends WavespeedAITask implements Imag
 	}
 
 	async preparePayloadAsync(args: ImageToVideoArgs): Promise<RequestArgs> {
-		return {
-			...args,
-			inputs: args.parameters?.prompt,
-			image: base64FromBytes(
-				new Uint8Array(args.inputs instanceof ArrayBuffer ? args.inputs : await (args.inputs as Blob).arrayBuffer())
-			),
-		};
+		const hasImages =
+			(args as { images?: unknown }).images ?? (args.parameters as Record<string, unknown> | undefined)?.images;
+		const { base, images } = await buildImagesField(args.inputs as Blob | ArrayBuffer, hasImages);
+		return { ...args, inputs: args.parameters?.prompt, image: base, images };
 	}
 }

packages/inference/test/InferenceClient.spec.ts

@@ -2297,6 +2297,22 @@ describe.skip("InferenceClient", () => {
 			const client = new InferenceClient(env.HF_WAVESPEED_KEY ?? "dummy");
 
 			HARDCODED_MODEL_INFERENCE_MAPPING["wavespeed"] = {
+				"Qwen/Qwen-Image-Edit-2509": {
+					provider: "wavespeed",
+					hfModelId: "Qwen/Qwen-Image-Edit-2509",
+					providerId: "wavespeed-ai/qwen-image/edit-plus-lora",
+					status: "live",
+					task: "image-to-image",
+				},
+				"dx8152/Qwen-Edit-2509-Multiple-angles": {
+					provider: "wavespeed",
+					hfModelId: "dx8152/Qwen-Edit-2509-Multiple-angles",
+					providerId: "wavespeed-ai/qwen-image/edit-plus-lora",
+					status: "live",
+					task: "image-to-image",
+					adapter: "lora",
+					adapterWeightsPath: "镜头转换.safetensors",
+				},
 				"black-forest-labs/FLUX.1-schnell": {
 					provider: "wavespeed",
 					hfModelId: "black-forest-labs/FLUX.1-schnell",
@@ -2421,6 +2437,32 @@ describe.skip("InferenceClient", () => {
 				});
 				expect(res).toBeInstanceOf(Blob);
 			});
+			it(`imageToImage - Qwen/Qwen-Image-Edit-2509`, async () => {
+				const res = await client.imageToImage({
+					model: "Qwen/Qwen-Image-Edit-2509",
+					provider: "wavespeed",
+					inputs: new Blob([readTestFile("cheetah.png")], { type: "image/png" }),
+					parameters: {
+						prompt: "Turn the animal's head left",
+					},
+				});
+				expect(res).toBeInstanceOf(Blob);
+			});
+			it(`imageToImage - dx8152/Qwen-Edit-2509-Multiple-angles`, async () => {
+				const res = await client.imageToImage({
+					model: "dx8152/Qwen-Edit-2509-Multiple-angles",
+					provider: "wavespeed",
+					inputs: new Blob([readTestFile("cheetah.png")], { type: "image/png" }),
+					parameters: {
+						prompt: "Turn the animal's head left",
+						images: [
+							new Blob([readTestFile("cheetah.png")], { type: "image/png" }),
+							new Blob([readTestFile("bird_canny.png")], { type: "image/png" }),
+						],
+					},
+				});
+				expect(res).toBeInstanceOf(Blob);
+			});
 		},
 		TIMEOUT
 	);