[inference provider] Add wavespeed.ai as an inference provider #1424

arabot777 · 2025-05-05T02:28:49Z

What’s in this PR
WaveSpeedAI is a high-performance AI image and video generation service platform, offering industry-leading generation speeds. Now, want to be listed as an Inference Provider on the Hugging Face Hub

The JS Client Integration was completed based on the inference-providers help documentation and passed the test. I am submitting the pr now and look forward to further communication with you

Test

pnpm --filter @huggingface/inference test "test/InferenceClient.spec.ts" -t "^Wavespeed AI"

> @huggingface/[email protected] test /Users/shanliu/work/huggingface.js/packages/inference
> vitest run --config vitest.config.mts "test/InferenceClient.spec.ts"


 RUN  v0.34.6 /Users/shanliu/work/huggingface.js/packages/inference

 ✓ test/InferenceClient.spec.ts (104) 198160ms
   ✓ InferenceClient (104) 198160ms
     ✓ backward compatibility (1)
       ✓ works with old HfInference name
     ↓ HF Inference (49) [skipped]
       ↓ throws error if model does not exist [skipped]
       ↓ fillMask [skipped]
       ↓ works without model [skipped]
       ↓ summarization [skipped]
       ↓ questionAnswering [skipped]
       ↓ tableQuestionAnswering [skipped]
       ↓ documentQuestionAnswering [skipped]
       ↓ documentQuestionAnswering with non-array output [skipped]
       ↓ visualQuestionAnswering [skipped]
       ↓ textClassification [skipped]
       ↓ textGeneration - gpt2 [skipped]
       ↓ textGeneration - openai-community/gpt2 [skipped]
       ↓ textGenerationStream - meta-llama/Llama-3.2-3B [skipped]
       ↓ textGenerationStream - catch error [skipped]
       ↓ textGenerationStream - Abort [skipped]
       ↓ tokenClassification [skipped]
       ↓ translation [skipped]
       ↓ zeroShotClassification [skipped]
       ↓ sentenceSimilarity [skipped]
       ↓ FeatureExtraction [skipped]
       ↓ FeatureExtraction - auto-compatibility sentence similarity [skipped]
       ↓ FeatureExtraction - facebook/bart-base [skipped]
       ↓ FeatureExtraction - facebook/bart-base, list input [skipped]
       ↓ automaticSpeechRecognition [skipped]
       ↓ audioClassification [skipped]
       ↓ audioToAudio [skipped]
       ↓ textToSpeech [skipped]
       ↓ imageClassification [skipped]
       ↓ zeroShotImageClassification [skipped]
       ↓ objectDetection [skipped]
       ↓ imageSegmentation [skipped]
       ↓ imageToImage [skipped]
       ↓ imageToImage blob data [skipped]
       ↓ textToImage [skipped]
       ↓ textToImage with parameters [skipped]
       ↓ imageToText [skipped]
       ↓ request - openai-community/gpt2 [skipped]
       ↓ tabularRegression [skipped]
       ↓ tabularClassification [skipped]
       ↓ endpoint - makes request to specified endpoint [skipped]
       ↓ endpoint - makes request to specified endpoint - alternative syntax [skipped]
       ↓ chatCompletion modelId - OpenAI Specs [skipped]
       ↓ chatCompletionStream modelId - OpenAI Specs [skipped]
       ↓ chatCompletionStream modelId Fail - OpenAI Specs [skipped]
       ↓ chatCompletion - OpenAI Specs [skipped]
       ↓ chatCompletionStream - OpenAI Specs [skipped]
       ↓ custom mistral - OpenAI Specs [skipped]
       ↓ custom openai - OpenAI Specs [skipped]
       ↓ OpenAI client side routing - model should have provider as prefix [skipped]
     ↓ Fal AI (4) [skipped]
       ↓ textToImage - black-forest-labs/FLUX.1-schnell [skipped]
       ↓ textToImage - SD LoRAs [skipped]
       ↓ textToImage - Flux LoRAs [skipped]
       ↓ automaticSpeechRecognition - openai/whisper-large-v3 [skipped]
     ↓ Featherless (3) [skipped]
       ↓ chatCompletion [skipped]
       ↓ chatCompletion stream [skipped]
       ↓ textGeneration [skipped]
     ↓ Replicate (10) [skipped]
       ↓ textToImage canonical - black-forest-labs/FLUX.1-schnell [skipped]
       ↓ textToImage canonical - black-forest-labs/FLUX.1-dev [skipped]
       ↓ textToImage canonical - stabilityai/stable-diffusion-3.5-large-turbo [skipped]
       ↓ textToImage versioned - ByteDance/SDXL-Lightning [skipped]
       ↓ textToImage versioned - ByteDance/Hyper-SD [skipped]
       ↓ textToImage versioned - playgroundai/playground-v2.5-1024px-aesthetic [skipped]
       ↓ textToImage versioned - stabilityai/stable-diffusion-xl-base-1.0 [skipped]
       ↓ textToSpeech versioned [skipped]
       ↓ textToSpeech OuteTTS -  usually Cold [skipped]
       ↓ textToSpeech Kokoro [skipped]
     ↓ SambaNova (3) [skipped]
       ↓ chatCompletion [skipped]
       ↓ chatCompletion stream [skipped]
       ↓ featureExtraction [skipped]
     ↓ Together (4) [skipped]
       ↓ chatCompletion [skipped]
       ↓ chatCompletion stream [skipped]
       ↓ textToImage [skipped]
       ↓ textGeneration [skipped]
     ↓ Nebius (3) [skipped]
       ↓ chatCompletion [skipped]
       ↓ chatCompletion stream [skipped]
       ↓ textToImage [skipped]
     ↓ 3rd party providers (1) [skipped]
       ↓ chatCompletion - fails with unsupported model [skipped]
     ↓ Fireworks (2) [skipped]
       ↓ chatCompletion [skipped]
       ↓ chatCompletion stream [skipped]
     ↓ Hyperbolic (4) [skipped]
       ↓ chatCompletion - hyperbolic [skipped]
       ↓ chatCompletion stream [skipped]
       ↓ textToImage [skipped]
       ↓ textGeneration [skipped]
     ↓ Novita (2) [skipped]
       ↓ chatCompletion [skipped]
       ↓ chatCompletion stream [skipped]
     ↓ Black Forest Labs (2) [skipped]
       ↓ textToImage [skipped]
       ↓ textToImage URL [skipped]
     ↓ Cohere (2) [skipped]
       ↓ chatCompletion [skipped]
       ↓ chatCompletion stream [skipped]
     ↓ Cerebras (2) [skipped]
       ↓ chatCompletion [skipped]
       ↓ chatCompletion stream [skipped]
     ↓ Nscale (3) [skipped]
       ↓ chatCompletion [skipped]
       ↓ chatCompletion stream [skipped]
       ↓ textToImage [skipped]
     ↓ Groq (2) [skipped]
       ↓ chatCompletion [skipped]
       ↓ chatCompletion stream [skipped]
     ↓ OVHcloud (4) [skipped]
       ↓ chatCompletion [skipped]
       ↓ chatCompletion stream [skipped]
       ↓ textGeneration [skipped]
       ↓ textGeneration stream [skipped]
     ✓ Wavespeed AI (5) 89033ms
       ✓ textToImage - wavespeed-ai/flux-schnell 89032ms
       ✓ textToImage - wavespeed-ai/flux-dev-lora 12369ms
       ✓ textToImage - wavespeed-ai/flux-dev-lora-ultra-fast 17936ms
       ✓ textToVideo - wavespeed-ai/wan-2.1/t2v-480p 79507ms
       ✓ imageToImage - wavespeed-ai/hidream-e1-full 74481ms

 Test Files  1 passed (1)
      Tests  5 passed | 103 skipped (108)
   Start at  14:33:17
   Duration  89.62s (transform 315ms, setup 14ms, collect 368ms, tests 89.03s, environment 0ms, prepare 74ms)

SBrandeis

Hello, thank you for your contribution
The code is of great quality overall - I left a few comments regarding our code style.
Please make sure the client can be used to query your API for all supported tasks, and that the payload are matching your API.
Thanks again!

SBrandeis · 2025-05-19T14:36:21Z

packages/inference/README.md

+- [HF Inference API (serverless)](https://huggingface.co/models?inference=warm&sort=trending)



Suggested change

- [HF Inference API (serverless)](https://huggingface.co/models?inference=warm&sort=trending)

has deleted

SBrandeis · 2025-05-19T14:41:26Z

packages/inference/test/InferenceClient.spec.ts

+					hfModelId: "wavespeed-ai/wan-2.1/i2v-480p",
+					providerId: "wavespeed-ai/wan-2.1/i2v-480p",
+					status: "live",
+					task: "image-to-video",


this task is not supported in the client code - let's remove it for now

has deleted

SBrandeis · 2025-05-19T14:43:28Z

packages/inference/src/providers/wavespeed-ai.ts

+import { InferenceOutputError } from "../lib/InferenceOutputError";
+import { ImageToImageArgs } from "../tasks";
+import type { BodyParams, HeaderParams, RequestArgs, UrlParams } from "../types";
+import { delay } from "../utils/delay";
+import { omit } from "../utils/omit";
+import { base64FromBytes } from "../utils/base64FromBytes";
+import {
+	TaskProviderHelper,
+	TextToImageTaskHelper,
+	TextToVideoTaskHelper,
+	ImageToImageTaskHelper,
+} from "./providerHelper";
+


We use import type when the import is only used as a type

Suggested change

import { InferenceOutputError } from "../lib/InferenceOutputError";

import { ImageToImageArgs } from "../tasks";

import type { BodyParams, HeaderParams, RequestArgs, UrlParams } from "../types";

import { delay } from "../utils/delay";

import { omit } from "../utils/omit";

import { base64FromBytes } from "../utils/base64FromBytes";

import {

TaskProviderHelper,

TextToImageTaskHelper,

TextToVideoTaskHelper,

ImageToImageTaskHelper,

} from "./providerHelper";

import { InferenceOutputError } from "../lib/InferenceOutputError";

import type { ImageToImageArgs } from "../tasks";

import type { BodyParams, HeaderParams, RequestArgs, UrlParams } from "../types";

import { delay } from "../utils/delay";

import { omit } from "../utils/omit";

import { base64FromBytes } from "../utils/base64FromBytes";

import type {

TaskProviderHelper,

TextToImageTaskHelper,

TextToVideoTaskHelper,

ImageToImageTaskHelper,

} from "./providerHelper";

Modify as suggested

SBrandeis · 2025-05-19T15:08:19Z

packages/inference/src/providers/wavespeed-ai.ts

+	};
+}
+
+type WaveSpeedAIResponse<T = WaveSpeedAITaskResponse> = WaveSpeedAICommonResponse<T>;


I'm not sure this type alias is needed, can we remove it?

Suggested change

type WaveSpeedAIResponse<T = WaveSpeedAITaskResponse> = WaveSpeedAICommonResponse<T>;

WaveSpeedAICommonResponse can be renamed to WaveSpeedAIResponse

This type is needed and will be used in two places. It's uncertain whether it will be used again in the future.
It follows the DRY (Don't Repeat Yourself) principle
It provides better type safety (through default generic parameters)
It makes the code more readable and maintainable

SBrandeis · 2025-05-19T15:20:13Z

packages/inference/src/providers/wavespeed-ai.ts

+				case "completed": {
+					// Get the video data from the first output URL
+					if (!taskResult.outputs?.[0]) {
+						throw new InferenceOutputError("No video URL in completed response");
+					}
+					const videoResponse = await fetch(taskResult.outputs[0]);
+					if (!videoResponse.ok) {
+						throw new InferenceOutputError("Failed to fetch video data");
+					}
+					return await videoResponse.blob();


From what I understand, the payload can be something else than a video (eg an image)
Let's update the error message to reflect that

yes,
I revised it.

SBrandeis · 2025-05-19T15:24:51Z

packages/inference/src/providers/wavespeed-ai.ts

+		if (!args.parameters) {
+			return {
+				...args,
+				model: args.model,
+				data: args.inputs,
+			};
+		} else {
+			return {
+				...args,
+				inputs: base64FromBytes(
+					new Uint8Array(args.inputs instanceof ArrayBuffer ? args.inputs : await (args.inputs as Blob).arrayBuffer())
+				),
+			};
+		}
+	}
+
+	override preparePayload(params: BodyParams): Record<string, unknown> {
+		return {
+			...omit(params.args, ["inputs", "parameters"]),
+			...(params.args.parameters as Record<string, unknown>),
+			image: params.args.inputs,
+		};
+	}


I think only one of the two ( preparePayload or preparePayloadAsync) should be responsible for building the payload, meaning, I'd rather move the rename of inputs to image in preparePayloadAsync an have preparePayload as dumb as possible

cc @hanouticelina - would love your opinion on that specific point

I only kept preparePayloadAsync func

I think only one of the two ( preparePayload or preparePayloadAsync) should be responsible for building the payload, meaning, I'd rather move the rename of inputs to image in preparePayloadAsync an have preparePayload as dumb as possible

yes agree!

SBrandeis · 2025-05-19T15:27:55Z

packages/inference/src/providers/wavespeed-ai.ts

+				inputs: base64FromBytes(
+					new Uint8Array(args.inputs instanceof ArrayBuffer ? args.inputs : await (args.inputs as Blob).arrayBuffer())
+				),


Does the wavespeed API support base64-encoded images as inputs?

hanouticelina

thank you @arabot777 for the PR! I left some minor comments. I tested the 3 tasks supported by Wavespeed.ai and it works as expected with the changes I suggested.

packages/inference/src/lib/getProviderHelper.ts

hanouticelina · 2025-05-21T09:36:21Z

packages/inference/src/providers/wavespeed-ai.ts

+	constructor() {
+		super(WAVESPEEDAI_API_BASE_URL);
+	}
+


you should override preparePayload to avoid sending unexpected fields to the API, since we rely on preparePayloadAsync to format the payload for this task

Suggested change

override preparePayload(params: BodyParams): Record<string, unknown> {

return params.args;

}

Here, for the preparePayload, I directly reused the preparePayload of the base class WavespeedAITask because there is no ambiguity in all types of interface parameter fields provided by the wavespeed api.

I wonder if this consideration point complies with the code specification? Or do I need to make some better modifications in accordance with the norms? thinks

hanouticelina · 2025-05-21T09:36:26Z

packages/inference/src/providers/wavespeed-ai.ts

+	async preparePayloadAsync(args: ImageToImageArgs): Promise<RequestArgs> {
+		return {
+			...args,
+			inputs: args.parameters?.prompt,


based on https://wavespeed.ai/models/wavespeed-ai/hidream-e1-full, it seems that the prompt should be send in "prompt" not "inputs". let me know if i'm missing something here.

Suggested change

inputs: args.parameters?.prompt,

prompt: args.parameters?.prompt,

Because here I reused the preparePayload function of the general class WavespeedAITask. The prompt here is obtained from params.args.inputs.
For general processing, an "inputs" field was added to place the prompt when handling this logic

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

SBrandeis

Second round of code review, thank you! We're getting there

Note: make sure you run pnpm format and pnpm lint to conform our code style.

SBrandeis · 2025-05-22T14:17:44Z

packages/inference/src/providers/wavespeed-ai.ts

+/**
+ * Common response structure for all WaveSpeed AI API responses
+ */
+interface WaveSpeedAICommonResponse<T> {
+	code: number;
+	message: string;
+	data: T;
+}
+


This abstraction is not necessary IMO, let's remove it (see my other comment)

Suggested change

/**

* Common response structure for all WaveSpeed AI API responses

*/

interface WaveSpeedAICommonResponse<T> {

code: number;

message: string;

data: T;

}

It has been modified as suggested

SBrandeis · 2025-05-22T14:19:34Z

packages/inference/src/providers/wavespeed-ai.ts

+type WaveSpeedAIResponse<T = WaveSpeedAITaskResponse> = WaveSpeedAICommonResponse<T>;
+


Following the previous comment - let's remove one level of abstraction

Suggested change

type WaveSpeedAIResponse<T = WaveSpeedAITaskResponse> = WaveSpeedAICommonResponse<T>;

interface WaveSpeedAIResponse {

code: number;

message: string;

data: WaveSpeedAITaskResponse

}

It has been modified as suggested

SBrandeis · 2025-05-22T14:25:25Z

packages/inference/src/providers/wavespeed-ai.ts

+	preparePayload(params: BodyParams): Record<string, unknown> {
+		const payload: Record<string, unknown> = {
+			...omit(params.args, ["inputs", "parameters"]),
+			...(params.args.parameters as Record<string, unknown>),
+			prompt: params.args.inputs,
+		};
+		// Add LoRA support if adapter is specified in the mapping


We don't need to cast into Result<string, unknown> if the params have the proper type
ImageToImageArgs, TextToImageArgs, and TextToVideoArgs need to be improrted from "../tasks"

Suggested change

preparePayload(params: BodyParams): Record<string, unknown> {

const payload: Record<string, unknown> = {

...omit(params.args, ["inputs", "parameters"]),

...(params.args.parameters as Record<string, unknown>),

prompt: params.args.inputs,

};

// Add LoRA support if adapter is specified in the mapping

preparePayload(params: BodyParams<ImageToImageArgs | TextToImageArgs | TextToVideoArgs>): Record<string, unknown> {

const payload: Record<string, unknown> = {

...omit(params.args, ["inputs", "parameters"]),

...params.args.parameters,

prompt: params.args.inputs,

};

// Add LoRA support if adapter is specified in the mapping

It has been modified as suggested

SBrandeis · 2025-05-22T14:31:43Z

packages/inference/src/providers/wavespeed-ai.ts

+		if (params.mapping?.adapter === "lora" && params.mapping.adapterWeightsPath) {
+			payload.loras = [
+				{
+					path: params.mapping.adapterWeightsPath,


For reference, adapterWeightsPath is the path to the LoRA weights inside the associated HF repo
eg, for nerijs/pixel-art-xl, it will be

"pixel-art-xl.safetensors"

Let's make sure that is indeed what your API is expecting when running LoRAs

Here I see that fal is the endpoint that has been concatenated with hf.
Can I directly set the adapterWeightsPath to a lora http address? Or any other address.

In the test cases, I conducted the test in this way. The adapterWeightsPath was directly passed over as an input parameter of lora.

"wavespeed-ai/flux-dev-lora": { hfModelId: "wavespeed-ai/flux-dev-lora", providerId: "wavespeed-ai/flux-dev-lora", status: "live", task: "text-to-image", adapter: "lora", adapterWeightsPath: "https://d32s1zkpjdc4b1.cloudfront.net/predictions/599f3739f5354afc8a76a12042736bfd/1.safetensors", }, "wavespeed-ai/flux-dev-lora-ultra-fast": { hfModelId: "wavespeed-ai/flux-dev-lora-ultra-fast", providerId: "wavespeed-ai/flux-dev-lora-ultra-fast", status: "live", task: "text-to-image", adapter: "lora", adapterWeightsPath: "linoyts/yarn_art_Flux_LoRA", },

in wavespeedai task is :

However, I'm not sure whether the input parameters submitted by hf to lora must be the abbreviation of the file path of the hf model and then concatenated with the hf address in the code. If it is this kind of specification, I can complete it in the format of fal

SBrandeis · 2025-05-22T14:33:14Z

packages/inference/src/providers/wavespeed-ai.ts

+	override prepareHeaders(params: HeaderParams, isBinary: boolean): Record<string, string> {
+		this.accessToken = params.accessToken;
+		const headers: Record<string, string> = { Authorization: `Bearer ${params.accessToken}` };
+		if (!isBinary) {
+			headers["Content-Type"] = "application/json";
+		}
+		return headers;
+	}


This is the same behavior as the blanket implementation here:
https://github.com/arabot777/huggingface.js/blob/f706e02d6128f559bd5551072344ff6e31b9c4be/packages/inference/src/providers/providerHelper.ts#L114-L124

No need for an override IMO

Suggested change

override prepareHeaders(params: HeaderParams, isBinary: boolean): Record<string, string> {

this.accessToken = params.accessToken;

const headers: Record<string, string> = { Authorization: `Bearer ${params.accessToken}` };

if (!isBinary) {

headers["Content-Type"] = "application/json";

}

return headers;

}

I removed this part of the logic at the beginning. However, the getresponse method of imageToimage.ts did not pass in header information.

I have to rewrite prepareHeaders here and by assignment
this.accessToken = params.accessToken; To ensure that the complete ak information of the header can be passed on when calling getresponse

arabot777 added 2 commits May 5, 2025 09:45

add wavespeed.ai as an inference provider

a4d8504

delete debug log

686931e

arabot777 requested review from julien-c, hanouticelina and SBrandeis as code owners May 5, 2025 02:28

arabot777 and others added 6 commits May 5, 2025 17:31

Merge branch 'main' into feat/wavespeedai

0e71b88

Merge branch 'main' into feat/wavespeedai

4461225

Merge branch 'main' into feat/wavespeedai

e0bf580

Merge branch 'main' into feat/wavespeedai

07af35f

Merge branch 'main' into feat/wavespeedai

fa3afa4

support lora

214ff99

SBrandeis reviewed May 19, 2025

View reviewed changes

hanouticelina added the inference-providers integration of a new or existing Inference Provider label May 20, 2025

arabot777 and others added 4 commits May 20, 2025 21:31

code review

47c64c6

Merge branch 'main' into feat/wavespeedai

7270c5c

code review

ba35791

Merge branch 'main' into feat/wavespeedai

ca35eab

arabot777 requested a review from SBrandeis May 20, 2025 13:44

arabot777 and others added 2 commits May 20, 2025 21:48

delete unused import

80d4640

Merge branch 'main' into feat/wavespeedai

77be0c6

hanouticelina reviewed May 21, 2025

View reviewed changes

arabot777 and others added 4 commits May 22, 2025 00:22

Update packages/inference/src/lib/getProviderHelper.ts

0c77b3b

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

Update packages/inference/src/lib/getProviderHelper.ts

3ab254e

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

Merge branch 'main' into feat/wavespeedai

a8fe74c

Merge branch 'main' into feat/wavespeedai

f706e02

SBrandeis reviewed May 22, 2025

View reviewed changes

code review modification

47f41f0

arabot777 requested review from SBrandeis and hanouticelina May 22, 2025 15:32

Merge branch 'main' into feat/wavespeedai

0cfefe8

Merge branch 'main' into feat/wavespeedai

f162e89

SBrandeis self-assigned this May 23, 2025

arabot777 and others added 3 commits May 23, 2025 22:08

Merge branch 'main' into feat/wavespeedai

b23a000

import js file

6cabc5a

Merge branch 'main' into feat/wavespeedai

71e4939

		- [HF Inference API (serverless)](https://huggingface.co/models?inference=warm&sort=trending)

	inputs: args.parameters?.prompt,
	prompt: args.parameters?.prompt,

		type WaveSpeedAIResponse<T = WaveSpeedAITaskResponse> = WaveSpeedAICommonResponse<T>;

[inference provider] Add wavespeed.ai as an inference provider #1424

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[inference provider] Add wavespeed.ai as an inference provider #1424

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arabot777 May 22, 2025 • edited Loading Uh oh! There was an error while loading. Please reload this page.

arabot777 commented May 5, 2025 •

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