Update index.js

index.js

@@ -19,7 +19,6 @@ const Waifu2X = require('@ibaraki-douji/waifu2x')
 const { acytoo, chatgpt_4 } = require("./lib/chatgpt.js")
 const { sss_instagram, gramvio } = require("./lib/instagram.js")
 const { allToJpg } = require("./lib/convertFormat.js")
-const { Blob } = require("formdata-node")
 const apikey = "@SadTeam77"
 
 const app = express()
@@ -260,6 +259,40 @@ app.post('/api/upscaler3', async (req, res) => {
 		res.json({ error: true, message: e === '[object Object]' ? 'Internal Server Error' : e })
 	}
 })
+app.post('/api/', async (req, res) => {
+	try {
+		console.log(req.body)
+		const { images, status } = req.body
+        if (!images) return res.json({ success: false, message: 'Required an images!' })
+        if (!status) return res.json({ success: false, message: 'Required an status text!' })
+
+        if(status !== apikey) return res.json({ success: false, message: 'Invalid status!' })
+        if (/^(https?|http):\/\//i.test(images)) {
+          const data_img = await axios.request({
+            method: "GET",
+            url: images,
+            responseType: "arraybuffer"
+          })
+          const response = await upscaleImageV2(data_img.data)
+          const type_img = await fileType.fromBuffer(response)
+          res.setHeader('Content-Type', type_img.mime)
+          res.send(response)
+        } else if (images && typeof images == 'string' && isBase64(images)) {
+	   	  const response = await upscaleImageV2(Buffer.from(images, "base64"))
+          const type_img = await fileType.fromBuffer(response)
+          res.setHeader('Content-Type', type_img.mime)
+          res.send(response)
+        } else {
+          res.json({
+            success: false, message: 'No url or base64 detected!!' 
+          })
+        }
+	} catch (e) {
+		console.log(e)
+		e = String(e)
+		res.json({ error: true, message: e === '[object Object]' ? 'Internal Server Error' : e })
+	}
+})
 app.post('/api/toanime2', async (req, res) => {
 	try {
 		console.log(req.body)
@@ -631,13 +664,18 @@ async function processImageUpscaler(images, denoise, format, type) {
 }
 
 async function processImage2Img(imgBuffer, prompt) {
+  const FormData = require('formdata-node');
+  const Blob = require('formdata-node/Blob');
   const type = fileType(imgBuffer);
   const convertingBlob = new Blob([imgBuffer], { type: type.mime });
+
+  const form = new FormData();
+  form.append('image', convertingBlob, "image" + type.ext);
 						
   const app = await Client.connect("Manjushri/SDXL-Turbo-Img2Img-CPU");
   const result = await app.predict("/predict", [
-				  imageBlob, 	// blob in 'Raw Image.' Image component		
-				  "Hello!!", // string  in 'Prompt Input Text. 77 Token (Keyword or Symbol) Maximum' Textbox component		
+				  form, 	// blob in 'Raw Image.' Image component		
+				  prompt, // string  in 'Prompt Input Text. 77 Token (Keyword or Symbol) Maximum' Textbox component		
 				  1, // number (numeric value between 1 and 5) in 'Number of Iterations' Slider component		
 				  0, // number (numeric value between 0 and 987654321987654321) in 'Seed' Slider component		
 				  0.1, // number (numeric value between 0.1 and 1) in 'Strength' Slider component