Image Tools - Background Removal, Upscaling, Face Restoration

Name: Image Tools - Background Removal, Upscaling, Face Restoration
Rating: 0.1 (2 reviews)
Author: fasuizu-br

内容与创意

by fasuizu-br

提供图像背景移除（BiRefNet）、超分辨率放大与人脸修复功能，并支持 GPU 加速处理。

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什么是 Image Tools - Background Removal, Upscaling, Face Restoration？

提供图像背景移除（BiRefNet）、超分辨率放大与人脸修复功能，并支持 GPU 加速处理。

README

Brainiall AI APIs

Production AI APIs for speech, text, image, and LLM inference. Available as REST endpoints and MCP servers for AI agents.

Base URL: https://apim-ai-apis.azure-api.net Full API reference for LLMs: llms-full.txt | llms.txt

Products

Product	Endpoints	Latency	Notes
Pronunciation Assessment	`/v1/pronunciation/assess/base64`	<500ms	17MB ONNX, per-phoneme scoring (39 ARPAbet)
Text-to-Speech	`/v1/tts/synthesize`	<1s	12 voices (American + British), 24kHz WAV
Speech-to-Text	`/v1/stt/transcribe/base64`	<500ms	Compact 17MB model, English, word timestamps
Whisper Pro	`/v1/whisper/transcribe/base64`	<3s	99 languages, speaker diarization
NLP Suite	`/v1/nlp/{toxicity,sentiment,entities,pii,language}`	<50ms	CPU-only, ONNX, 5 endpoints
Image Processing	`/v1/image/{remove-background,upscale,restore-face}/base64`	<3s	GPU (A10), BiRefNet + ESRGAN + GFPGAN
LLM Gateway	`/v1/chat/completions`	varies	113+ models, OpenAI-compatible, streaming

Authentication

Include ONE of these headers in every request:

code

Ocp-Apim-Subscription-Key: YOUR_KEY
Authorization: Bearer YOUR_KEY
api-key: YOUR_KEY

Get API keys at the portal (GitHub sign-in, purchase credits, create key).

Quick Start

Python — LLM Gateway (OpenAI SDK)

python

from openai import OpenAI

client = OpenAI(
    base_url="https://apim-ai-apis.azure-api.net/v1",
    api_key="YOUR_KEY"
)

response = client.chat.completions.create(
    model="claude-sonnet",
    messages=[{"role": "user", "content": "Hello!"}]
)
print(response.choices[0].message.content)

Python — Pronunciation Assessment

python

import requests, base64

audio_b64 = base64.b64encode(open("audio.wav", "rb").read()).decode()
r = requests.post(
    "https://apim-ai-apis.azure-api.net/v1/pronunciation/assess/base64",
    headers={"Ocp-Apim-Subscription-Key": "YOUR_KEY"},
    json={"audio": audio_b64, "text": "Hello world", "format": "wav"}
)
print(r.json()["overallScore"])  # 0-100

Python — NLP Pipeline

python

import requests

headers = {"Ocp-Apim-Subscription-Key": "YOUR_KEY"}
base = "https://apim-ai-apis.azure-api.net/v1/nlp"

# Sentiment
r = requests.post(f"{base}/sentiment", headers=headers, json={"text": "I love this!"})
print(r.json())  # {"label": "positive", "score": 0.9987}

# PII detection with redaction
r = requests.post(f"{base}/pii", headers=headers, json={"text": "Email john@acme.com", "redact": True})
print(r.json()["redacted_text"])  # "Email [EMAIL]"

Node.js — LLM Gateway

javascript

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://apim-ai-apis.azure-api.net/v1",
  apiKey: "YOUR_KEY"
});

const res = await client.chat.completions.create({
  model: "claude-sonnet",
  messages: [{ role: "user", content: "Hello!" }]
});
console.log(res.choices[0].message.content);

curl — Image Background Removal

bash

curl -X POST https://apim-ai-apis.azure-api.net/v1/image/remove-background/base64 \
  -H "Ocp-Apim-Subscription-Key: YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d "{\"image\": \"$(base64 -i photo.jpg)\"}"

LLM Gateway — Popular Models

Model	Alias	Price ($/MTok in/out)
Claude Opus 4.6	`claude-opus`	$5 / $25
Claude Sonnet 4.6	`claude-sonnet`	$3 / $15
Claude Haiku 4.5	`claude-haiku`	$1 / $5
DeepSeek R1	`deepseek-r1`	$1.35 / $5.40
DeepSeek V3	`deepseek-v3`	$0.27 / $1.10
Llama 3.3 70B	`llama-3.3-70b`	$0.72 / $0.72
Amazon Nova Pro	`nova-pro`	$0.80 / $3.20
Amazon Nova Micro	`nova-micro`	$0.035 / $0.14
Mistral Large 3	`mistral-large-3`	$2 / $6
Qwen3 32B	`qwen3-32b`	$0.35 / $0.35

Full list: GET /v1/models (113+ models from 17 providers).

Supports: streaming SSE, tool calling, structured output (json_object/json_schema), extended thinking.

Works with: OpenAI SDK, LiteLLM, LangChain, Cline, Cursor, Aider, Continue, SillyTavern, Open WebUI.

MCP Servers (for AI Agents)

3 MCP servers with 20 tools total. Streamable HTTP transport.

Server	URL	Tools
Speech AI	`https://apim-ai-apis.azure-api.net/mcp/pronunciation/mcp`	10 tools + 8 resources + 3 prompts
NLP Tools	`https://apim-ai-apis.azure-api.net/mcp/nlp/mcp`	6 tools + 3 resources + 3 prompts
Image Tools	`https://apim-ai-apis.azure-api.net/mcp/image/mcp`	4 tools + 3 resources + 2 prompts

MCP Configuration (Claude Desktop / Cursor / Cline)

json

{
  "mcpServers": {
    "brainiall-speech": {
      "url": "https://apim-ai-apis.azure-api.net/mcp/pronunciation/mcp",
      "headers": { "Ocp-Apim-Subscription-Key": "YOUR_KEY" }
    },
    "brainiall-nlp": {
      "url": "https://apim-ai-apis.azure-api.net/mcp/nlp/mcp",
      "headers": { "Ocp-Apim-Subscription-Key": "YOUR_KEY" }
    },
    "brainiall-image": {
      "url": "https://apim-ai-apis.azure-api.net/mcp/image/mcp",
      "headers": { "Ocp-Apim-Subscription-Key": "YOUR_KEY" }
    }
  }
}

Also available on: Smithery (score 95/100) | MCPize | Apify ($0.02/call) | MCP Registry

Examples

File	Description
`python/basic_usage.py`	Speech APIs — assess, transcribe, synthesize
`python/pronunciation_tutor.py`	Interactive pronunciation tutor
`javascript/basic_usage.js`	Node.js examples for speech APIs
`curl/examples.sh`	curl commands for every endpoint
`mcp/claude-desktop-config.json`	MCP config for Claude Desktop
`mcp/cursor-config.json`	MCP config for Cursor IDE
`llms-full.txt`	Complete API reference for LLM consumption

Pricing

Product	Price	Unit
Pronunciation	$0.02	per call
TTS	$0.01-0.03	per 1K chars
STT (compact)	$0.01	per request
Whisper Pro	$0.02	per minute
NLP (any)	$0.001-0.002	per call
Image (any)	$0.003-0.005	per image
LLM Gateway	competitive pricing	per MTok

Credit packages: $5, $10, $25, $50, $100. Portal | Azure Marketplace (search "Brainiall").

License

MIT — Brainiall

常见问题