501 lines
26 KiB
TypeScript
501 lines
26 KiB
TypeScript
import React, { useState, useEffect, useRef } from 'react';
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import { motion, AnimatePresence } from 'framer-motion';
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import { X, Upload, Settings as SettingsIcon, Box, AlertCircle, Loader2, RefreshCw, Check } from 'lucide-react';
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import { cn } from '../lib/utils';
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import { useAuthStore } from '../store/authStore';
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import { api } from '../lib/api';
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import { editUVLayer } from '../lib/api/apiUtils';
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import { Canvas } from '@react-three/fiber';
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import { OrbitControls, Stage } from '@react-three/drei';
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import { GLTFLoader } from 'three-stdlib';
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import * as THREE from 'three';
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interface ImageTo3DModalProps {
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isOpen: boolean;
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onClose: () => void;
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onPushToApp: (modelUrl: string) => void;
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}
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const ModelPreview = ({ url }: { url: string }) => {
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const [model, setModel] = useState<THREE.Group | null>(null);
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useEffect(() => {
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const loader = new GLTFLoader();
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loader.load(url, (gltf) => {
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setModel(gltf.scene);
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});
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}, [url]);
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if (!model) return <div className="absolute inset-0 flex items-center justify-center"><Loader2 className="w-8 h-8 animate-spin text-zinc-500" /></div>;
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return (
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<Canvas shadows={{ type: THREE.PCFShadowMap }} camera={{ position: [0, 1.5, 3], fov: 45 }}>
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<Stage environment="studio" intensity={0.5}>
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<primitive object={model} />
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</Stage>
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<OrbitControls autoRotate />
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</Canvas>
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);
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};
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export const ImageTo3DModal: React.FC<ImageTo3DModalProps> = ({ isOpen, onClose, onPushToApp }) => {
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const { profile, setProfile } = useAuthStore();
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const [meshyApiKey, setMeshyApiKey] = useState('');
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// Image states
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const [imageFile, setImageFile] = useState<File | null>(null);
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const [originalImagePreview, setOriginalImagePreview] = useState<string | null>(null);
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const [cleanedImageFile, setCleanedImageFile] = useState<File | null>(null);
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const [cleanedImagePreview, setCleanedImagePreview] = useState<string | null>(null);
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const [isCleaningImage, setIsCleaningImage] = useState(false);
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// Meshy specific state
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const [meshyModelType, setMeshyModelType] = useState('standard');
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const [meshyAiModel, setMeshyAiModel] = useState('latest');
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const [meshyShouldTexture, setMeshyShouldTexture] = useState(true);
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const [meshyEnablePbr, setMeshyEnablePbr] = useState(false);
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const [meshyHdTexture, setMeshyHdTexture] = useState(false);
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const [meshyTexturePrompt, setMeshyTexturePrompt] = useState('clear text');
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const [meshyTextureImageUrl, setMeshyTextureImageUrl] = useState('');
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const [meshyEnhanceImage, setMeshyEnhanceImage] = useState(true);
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const [meshyShouldRemesh, setMeshyShouldRemesh] = useState(false);
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const [meshyTopology, setMeshyTopology] = useState('triangle');
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const [meshyTargetPolycount, setMeshyTargetPolycount] = useState(30000);
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const [isGenerating, setIsGenerating] = useState(false);
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const [progressMessage, setProgressMessage] = useState('');
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const [generatedModelUrl, setGeneratedModelUrl] = useState<string | null>(null);
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const [error, setError] = useState<string | null>(null);
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const fileInputRef = useRef<HTMLInputElement>(null);
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useEffect(() => {
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if (isOpen) {
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api.getUserKeys().then(keys => {
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if (keys.MESHY_API_KEY) setMeshyApiKey(keys.MESHY_API_KEY);
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}).catch(err => console.error("Failed to load user keys", err));
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}
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}, [isOpen]);
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const handleImageUpload = (e: React.ChangeEvent<HTMLInputElement>) => {
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const file = e.target.files?.[0];
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if (file) {
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setImageFile(file);
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const url = URL.createObjectURL(file);
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setOriginalImagePreview(url);
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setGeneratedModelUrl(null);
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setError(null);
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// Auto clean on upload
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handleCleanImage(file);
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}
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};
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const handleCleanImage = async (fileToClean: File) => {
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setIsCleaningImage(true);
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setCleanedImageFile(null);
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setCleanedImagePreview(null);
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try {
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const base64 = await new Promise<string>((resolve, reject) => {
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const reader = new FileReader();
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reader.onload = (e) => {
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const img = new Image();
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img.onload = () => {
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const canvas = document.createElement('canvas');
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// Scale down if too large to fit in 1MB limit safely
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let { width, height } = img;
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const maxSize = 1024;
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if (width > maxSize || height > maxSize) {
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const ratio = Math.min(maxSize / width, maxSize / height);
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width = Math.round(width * ratio);
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height = Math.round(height * ratio);
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}
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canvas.width = width;
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canvas.height = height;
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const ctx = canvas.getContext('2d');
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ctx?.drawImage(img, 0, 0, width, height);
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resolve(canvas.toDataURL('image/webp', 0.8));
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};
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img.onerror = reject;
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img.src = e.target?.result as string;
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};
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reader.onerror = reject;
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reader.readAsDataURL(fileToClean);
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});
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const token = localStorage.getItem('auth_token') || '';
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const newUrl = await editUVLayer("Remove the background and make it solid transparent or white. Also carefully remove all text, labels, logos, and stickers, keeping the product as a perfectly clean, plain, unbranded object.", base64, token);
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const res = await fetch(newUrl);
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const blob = await res.blob();
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const newFile = new File([blob], "cleaned-image.png", { type: "image/png" });
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setCleanedImageFile(newFile);
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setCleanedImagePreview(newUrl);
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} catch (err: any) {
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setError("Failed to clean image: " + err.message);
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// Fallback to original
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setCleanedImageFile(fileToClean);
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setCleanedImagePreview(URL.createObjectURL(fileToClean));
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} finally {
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setIsCleaningImage(false);
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}
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};
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const fileToDataUrl = (file: File): Promise<string> => {
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return new Promise((resolve, reject) => {
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const reader = new FileReader();
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reader.onload = () => resolve(reader.result as string);
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reader.onerror = reject;
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reader.readAsDataURL(file);
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});
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};
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const generate3DModel = async () => {
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const targetFile = cleanedImageFile || imageFile;
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if (!targetFile) {
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setError("Please upload an image first.");
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return;
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}
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if (!profile || profile.api_credits <= 0) {
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setError("Not enough AI Credits. Please contact an administrator.");
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return;
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}
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if (!meshyApiKey) {
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setError("Meshy API Key is required. Please set it in Tools > API Settings.");
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return;
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}
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const deductCredit = async () => {
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if (profile) {
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try {
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const { api_credits } = await api.deductCredit();
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setProfile({ ...profile, api_credits });
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} catch (e) {
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console.error("Credit deduction failed", e);
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}
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}
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};
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try {
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setIsGenerating(true);
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setError(null);
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const dataUrl = await fileToDataUrl(targetFile);
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setProgressMessage("Generating 3D Model with Meshy... This might take up to a minute.");
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let payload: any = {
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image_url: dataUrl,
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model_type: meshyModelType,
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should_texture: meshyShouldTexture,
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should_enhance_image: meshyEnhanceImage,
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target_formats: ['glb']
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};
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if (meshyModelType !== 'lowpoly') {
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payload.ai_model = meshyAiModel === 'latest' ? 'meshy-6' : meshyAiModel;
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payload.should_remesh = meshyShouldRemesh;
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if (meshyShouldRemesh) {
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payload.topology = meshyTopology;
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payload.target_polycount = meshyTargetPolycount;
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}
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}
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if (meshyShouldTexture) {
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payload.enable_pbr = meshyEnablePbr;
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if (meshyAiModel !== 'meshy-5') {
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payload.hd_texture = meshyHdTexture;
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}
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if (meshyTextureImageUrl) {
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payload.texture_image_url = meshyTextureImageUrl;
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} else if (meshyTexturePrompt) {
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payload.texture_prompt = meshyTexturePrompt;
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}
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}
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const taskRes = await fetch('https://api.meshy.ai/openapi/v1/image-to-3d', {
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method: 'POST',
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headers: {
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'Content-Type': 'application/json',
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'Authorization': `Bearer ${meshyApiKey}`
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},
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body: JSON.stringify(payload)
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});
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if (!taskRes.ok) {
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const errData = await taskRes.text();
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console.error("Meshy task creation error payload:", errData);
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throw new Error(`Meshy API: Task creation failed. ${errData}`);
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}
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const taskData = await taskRes.json();
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const taskId = taskData.result;
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let isDone = false;
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while (!isDone) {
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await new Promise(r => setTimeout(r, 2000));
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const pollRes = await fetch(`https://api.meshy.ai/openapi/v1/image-to-3d/${taskId}`, {
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headers: {
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'Authorization': `Bearer ${meshyApiKey}`
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}
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});
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if (!pollRes.ok) throw new Error("Meshy API: Polling failed.");
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const pollData = await pollRes.json();
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const status = (pollData.status || '').toUpperCase();
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const progress = pollData.progress || 0;
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setProgressMessage(`Generating... ${progress}%`);
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if (status === 'SUCCEEDED') {
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const modelUrl = pollData.model_urls?.glb;
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if (!modelUrl) throw new Error("Meshy API: Model URL not found in result.");
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setGeneratedModelUrl(`/api/proxy/glb?url=${encodeURIComponent(modelUrl)}`);
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setProgressMessage("Done!");
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isDone = true;
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deductCredit();
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} else if (status === 'FAILED' || status === 'EXPIRED') {
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throw new Error(`Meshy API Task ${status}: ${pollData.task_error?.message || 'Unknown error'}`);
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}
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}
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} catch (err: any) {
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console.error(err);
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setError(err.message || "An error occurred during generation.");
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} finally {
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setIsGenerating(false);
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}
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};
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if (!isOpen) return null;
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return (
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<AnimatePresence>
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<div className="fixed inset-0 z-[100] flex items-center justify-center p-4 bg-black/60 backdrop-blur-sm">
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<motion.div
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initial={{ opacity: 0, scale: 0.95, y: 20 }}
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animate={{ opacity: 1, scale: 1, y: 0 }}
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exit={{ opacity: 0, scale: 0.95, y: 20 }}
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className="w-full max-w-5xl bg-zinc-900 border border-zinc-800 rounded-xl shadow-2xl overflow-hidden flex flex-col h-[700px]"
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>
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{/* Header */}
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<div className="h-14 bg-zinc-800 flex items-center justify-between px-6 border-b border-zinc-700">
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<div className="flex items-center gap-2 text-blue-400">
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<Box size={20} />
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<span className="text-base font-bold text-zinc-200">Meshy 3D Generation</span>
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</div>
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<button onClick={onClose} className="p-2 hover:bg-zinc-700 rounded transition-colors">
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<X size={18} className="text-zinc-400" />
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</button>
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</div>
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<div className="flex flex-1 overflow-hidden">
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{/* Content Area */}
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<div className="flex-1 overflow-y-auto bg-zinc-900/50 p-6">
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<div className="grid grid-cols-2 gap-8 h-full">
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{/* Left Column: Upload & Clean */}
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<div className="flex flex-col gap-4">
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<div className="flex items-center justify-between">
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<h3 className="text-sm font-bold text-zinc-200">Input Image (Auto Cleaned)</h3>
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<span className="text-[10px] text-zinc-500 bg-zinc-800 px-2 py-0.5 rounded-full">Front View</span>
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</div>
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{!originalImagePreview ? (
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<label className="flex-1 min-h-[220px] flex flex-col items-center justify-center border-2 border-dashed border-zinc-700 hover:border-zinc-500 rounded-xl bg-zinc-900/50 cursor-pointer transition-colors relative overflow-hidden group">
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<input type="file" ref={fileInputRef} accept="image/png, image/jpeg" className="hidden" onChange={handleImageUpload} />
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<div className="flex flex-col items-center text-zinc-500 gap-3 pointer-events-none p-6 text-center">
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<div className="w-14 h-14 rounded-full bg-zinc-800 flex items-center justify-center">
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<Upload size={24} className="text-zinc-400" />
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</div>
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<div>
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<p className="text-base font-medium text-zinc-300 mb-1">Click to upload image</p>
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<p className="text-sm">PNG, JPG up to 10MB</p>
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<p className="text-xs mt-3 text-blue-400 font-medium">Image will be automatically cleaned of text/logos.</p>
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</div>
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</div>
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</label>
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) : (
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<div className="flex gap-4 h-[220px]">
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{/* Original Image */}
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<label className="flex-1 relative border-2 border-dashed border-zinc-700 rounded-xl overflow-hidden group cursor-pointer">
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<input type="file" ref={fileInputRef} accept="image/png, image/jpeg" className="hidden" onChange={handleImageUpload} />
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<img src={originalImagePreview} alt="Original" className="w-full h-full object-contain p-2" />
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<div className="absolute inset-x-0 bottom-0 bg-black/80 text-center text-xs text-zinc-400 py-1.5 border-t border-zinc-800">Original</div>
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<div className="absolute inset-0 bg-black/50 opacity-0 group-hover:opacity-100 flex items-center justify-center transition-opacity">
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<span className="text-white text-sm font-medium flex items-center gap-2"><Upload size={16}/> Change Image</span>
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</div>
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</label>
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{/* Cleaned Image */}
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<div className="flex-1 relative border-2 border-solid border-zinc-700 rounded-xl overflow-hidden bg-zinc-900/50 flex items-center justify-center group">
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{isCleaningImage ? (
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<>
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<img src={originalImagePreview} alt="Original Grayscale" className="absolute inset-0 w-full h-full object-contain p-2 opacity-30 grayscale blur-sm" />
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<div className="absolute inset-0 flex flex-col items-center justify-center text-zinc-300 gap-3 bg-black/40 z-10">
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<Loader2 size={28} className="animate-spin text-blue-500" />
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<span className="text-sm font-medium">AI Cleaning Image...</span>
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</div>
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</>
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) : cleanedImagePreview ? (
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<>
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<img src={cleanedImagePreview} alt="Cleaned" className="w-full h-full object-contain p-2" />
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<div className="absolute inset-x-0 bottom-0 bg-blue-900/80 text-center text-xs text-blue-200 py-1.5 font-bold border-t border-blue-800">Cleaned Result</div>
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<div className="absolute inset-0 bg-black/60 opacity-0 group-hover:opacity-100 flex flex-col items-center justify-center gap-3 transition-opacity">
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<button onClick={(e) => { e.preventDefault(); handleCleanImage(imageFile!); }} className="px-4 py-2 bg-blue-600 hover:bg-blue-500 text-white rounded-lg text-sm font-bold shadow-lg flex items-center gap-2 transition-colors">
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<RefreshCw size={14} /> Try Again
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</button>
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</div>
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</>
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) : (
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<span className="text-zinc-600 text-sm">Failed to clean.</span>
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)}
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</div>
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</div>
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)}
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<div className="flex flex-col gap-3 mt-4 bg-zinc-900 p-4 rounded-xl border border-zinc-800">
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<h4 className="text-xs font-bold text-zinc-400 uppercase tracking-wider flex items-center gap-1.5"><SettingsIcon size={14}/> Meshy Config</h4>
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<div className="grid grid-cols-2 gap-4 mt-1">
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<div className="flex flex-col gap-1.5">
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<label className="text-xs text-zinc-500 font-bold">Model Type</label>
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<select value={meshyModelType} onChange={e => setMeshyModelType(e.target.value)} className="bg-zinc-950 border border-zinc-800 rounded-lg px-3 py-2 text-sm text-zinc-300">
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<option value="standard">Standard</option>
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<option value="lowpoly">Low Poly</option>
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</select>
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</div>
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<div className="flex flex-col gap-1.5">
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<label className="text-xs text-zinc-500 font-bold">AI Model</label>
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<select value={meshyAiModel} onChange={e => setMeshyAiModel(e.target.value)} disabled={meshyModelType === 'lowpoly'} className="bg-zinc-950 border border-zinc-800 rounded-lg px-3 py-2 text-sm text-zinc-300 disabled:opacity-50">
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<option value="latest">Latest (Meshy 6)</option>
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<option value="meshy-6">Meshy 6</option>
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<option value="meshy-5">Meshy 5</option>
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</select>
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</div>
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</div>
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<div className="flex items-center gap-5 mt-2">
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<label className="flex items-center gap-2 text-sm text-zinc-300 cursor-pointer">
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<input type="checkbox" checked={meshyShouldTexture} onChange={e => setMeshyShouldTexture(e.target.checked)} className="rounded border-zinc-700 bg-zinc-900 w-4 h-4 text-blue-500 cursor-pointer" />
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Texture
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</label>
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<label className={cn("flex items-center gap-2 text-sm text-zinc-300 cursor-pointer", !meshyShouldTexture && "opacity-50 pointer-events-none")}>
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<input type="checkbox" checked={meshyEnablePbr} onChange={e => setMeshyEnablePbr(e.target.checked)} disabled={!meshyShouldTexture} className="rounded border-zinc-700 bg-zinc-900 w-4 h-4 text-blue-500 cursor-pointer" />
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PBR
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</label>
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<label className={cn("flex items-center gap-2 text-sm text-zinc-300 cursor-pointer", (!meshyShouldTexture || meshyAiModel === 'meshy-5') && "opacity-50 pointer-events-none")}>
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<input type="checkbox" checked={meshyHdTexture} onChange={e => setMeshyHdTexture(e.target.checked)} disabled={!meshyShouldTexture || meshyAiModel === 'meshy-5'} className="rounded border-zinc-700 bg-zinc-900 w-4 h-4 text-blue-500 cursor-pointer" />
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4K HD
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</label>
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</div>
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{meshyShouldTexture && (
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<div className="flex flex-col gap-2 mt-1">
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<input type="text" value={meshyTexturePrompt} onChange={e => setMeshyTexturePrompt(e.target.value)} maxLength={600} placeholder="Texture prompt (optional)..." className="bg-zinc-950 border border-zinc-800 rounded-lg px-3 py-2 text-sm text-zinc-300" />
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</div>
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)}
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<div className="flex items-center gap-5 mt-2">
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<label className={cn("flex items-center gap-2 text-sm text-zinc-300 cursor-pointer", meshyModelType === 'lowpoly' && "opacity-50 pointer-events-none")}>
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<input type="checkbox" checked={meshyShouldRemesh} onChange={e => setMeshyShouldRemesh(e.target.checked)} disabled={meshyModelType === 'lowpoly'} className="rounded border-zinc-700 bg-zinc-900 w-4 h-4 text-blue-500 cursor-pointer" />
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Remesh
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</label>
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<label className="flex items-center gap-2 text-sm text-zinc-300 cursor-pointer" title="Keep enabled to prevent flat text/logos from becoming embossed geometry">
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<input type="checkbox" checked={meshyEnhanceImage} onChange={e => setMeshyEnhanceImage(e.target.checked)} className="rounded border-zinc-700 bg-zinc-900 w-4 h-4 text-blue-500 cursor-pointer" />
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Enhance Image
|
|
</label>
|
|
</div>
|
|
|
|
{meshyShouldRemesh && meshyModelType !== 'lowpoly' && (
|
|
<div className="grid grid-cols-2 gap-4 mt-1">
|
|
<div className="flex flex-col gap-1.5">
|
|
<label className="text-xs text-zinc-500 font-bold">Topology</label>
|
|
<select value={meshyTopology} onChange={e => setMeshyTopology(e.target.value)} className="bg-zinc-950 border border-zinc-800 rounded-lg px-3 py-2 text-sm text-zinc-300">
|
|
<option value="triangle">Triangle</option>
|
|
<option value="quad">Quad</option>
|
|
</select>
|
|
</div>
|
|
<div className="flex flex-col gap-1.5">
|
|
<label className="text-xs text-zinc-500 font-bold">Polycount</label>
|
|
<input type="number" min={100} max={300000} step={1000} value={meshyTargetPolycount} onChange={e => setMeshyTargetPolycount(parseInt(e.target.value) || 30000)} className="bg-zinc-950 border border-zinc-800 rounded-lg px-3 py-2 text-sm text-zinc-300" />
|
|
</div>
|
|
</div>
|
|
)}
|
|
</div>
|
|
|
|
{error && (
|
|
<div className="p-3 bg-red-500/10 border border-red-500/20 rounded-lg flex gap-2 items-start text-red-400 text-sm mt-auto">
|
|
<AlertCircle size={16} className="shrink-0 mt-0.5" />
|
|
<p>{error}</p>
|
|
</div>
|
|
)}
|
|
</div>
|
|
|
|
{/* Right Column: 3D Preview */}
|
|
<div className="flex flex-col h-full bg-zinc-950 rounded-xl overflow-hidden border border-zinc-800 relative">
|
|
<div className="absolute top-4 left-4 z-10">
|
|
<h3 className="text-sm font-bold text-zinc-200">3D Preview</h3>
|
|
</div>
|
|
|
|
<div className="flex-1 relative flex items-center justify-center overflow-hidden">
|
|
{isGenerating ? (
|
|
<>
|
|
{cleanedImagePreview || originalImagePreview ? (
|
|
<img src={(cleanedImagePreview || originalImagePreview) as string} alt="Generating Base" className="absolute inset-0 w-full h-full object-contain p-8 opacity-20 grayscale blur-md scale-110" />
|
|
) : null}
|
|
<div className="absolute inset-0 flex flex-col items-center justify-center text-zinc-300 bg-black/60 z-20">
|
|
<Loader2 size={36} className="animate-spin text-blue-500 mb-4" />
|
|
<p className="text-sm font-medium text-zinc-200">{progressMessage}</p>
|
|
</div>
|
|
</>
|
|
) : generatedModelUrl ? (
|
|
<ModelPreview url={generatedModelUrl} />
|
|
) : (
|
|
<div className="flex flex-col items-center justify-center text-zinc-600 p-6 text-center">
|
|
<Box size={32} className="mb-3 opacity-50" />
|
|
<p className="text-sm">Your 3D model will appear here</p>
|
|
</div>
|
|
)}
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
{/* Footer actions */}
|
|
<div className="h-16 bg-zinc-900 border-t border-zinc-800 px-6 flex items-center justify-between shrink-0">
|
|
<div className="text-xs font-medium px-3 py-1.5 bg-blue-500/10 text-blue-400 rounded-full border border-blue-500/20 flex items-center gap-2">
|
|
<div className="w-1.5 h-1.5 rounded-full bg-blue-500 animate-pulse" />
|
|
Meshy Generation: 200 AI Credits
|
|
</div>
|
|
|
|
<div className="flex gap-3">
|
|
<button
|
|
onClick={onClose}
|
|
className="px-6 py-2 bg-zinc-800 hover:bg-zinc-700 text-white rounded-lg text-sm font-bold transition-colors"
|
|
>
|
|
Cancel
|
|
</button>
|
|
|
|
{generatedModelUrl ? (
|
|
<button
|
|
onClick={() => onPushToApp(generatedModelUrl)}
|
|
className="px-6 py-2 bg-green-600 hover:bg-green-500 text-white rounded-lg text-sm font-bold shadow-lg shadow-green-900/20 transition-all flex items-center gap-2"
|
|
>
|
|
<Check size={16} />
|
|
Use Model
|
|
</button>
|
|
) : (
|
|
<button
|
|
onClick={generate3DModel}
|
|
disabled={!imageFile || isGenerating || isCleaningImage}
|
|
className="px-8 py-2 bg-blue-600 hover:bg-blue-500 disabled:bg-zinc-800 disabled:text-zinc-500 text-white rounded-lg text-sm font-bold shadow-lg shadow-blue-900/20 transition-all flex items-center gap-2"
|
|
>
|
|
{isGenerating ? <Loader2 size={16} className="animate-spin" /> : <Box size={16} />}
|
|
{isGenerating ? 'Generating...' : 'Generate 3D Model'}
|
|
</button>
|
|
)}
|
|
</div>
|
|
</div>
|
|
</motion.div>
|
|
</div>
|
|
</AnimatePresence>
|
|
);
|
|
};
|