Initial commit
This commit is contained in:
neil
commit
35eb117c4e
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REPLICATE_API_TOKEN=YOUR_API_TOKEN
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|
@ -0,0 +1,3 @@
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{
|
||||
"extends": "next/core-web-vitals"
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||||
}
|
||||
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@ -0,0 +1,34 @@
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|||
# See https://help.github.com/articles/ignoring-files/ for more about ignoring files.
|
||||
|
||||
# dependencies
|
||||
/node_modules
|
||||
/.pnp
|
||||
.pnp.js
|
||||
|
||||
# testing
|
||||
/coverage
|
||||
|
||||
# next.js
|
||||
/.next/
|
||||
/out/
|
||||
|
||||
# production
|
||||
/build
|
||||
|
||||
# misc
|
||||
.DS_Store
|
||||
*.pem
|
||||
|
||||
# debug
|
||||
npm-debug.log*
|
||||
yarn-debug.log*
|
||||
yarn-error.log*
|
||||
.pnpm-debug.log*
|
||||
|
||||
# local env files
|
||||
.env*.local
|
||||
|
||||
# vercel
|
||||
.vercel
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||||
|
||||
/image_proc_server/__pycache__
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||||
|
|
@ -0,0 +1,38 @@
|
|||
This is a [Next.js](https://nextjs.org/) project bootstrapped with [`create-next-app`](https://github.com/vercel/next.js/tree/canary/packages/create-next-app).
|
||||
|
||||
## Getting Started
|
||||
|
||||
First, run the development server:
|
||||
|
||||
```bash
|
||||
npm run dev
|
||||
# or
|
||||
yarn dev
|
||||
# or
|
||||
pnpm dev
|
||||
```
|
||||
|
||||
Open [http://localhost:3000](http://localhost:3000) with your browser to see the result.
|
||||
|
||||
You can start editing the page by modifying `pages/index.js`. The page auto-updates as you edit the file.
|
||||
|
||||
[API routes](https://nextjs.org/docs/api-routes/introduction) can be accessed on [http://localhost:3000/api/hello](http://localhost:3000/api/hello). This endpoint can be edited in `pages/api/hello.js`.
|
||||
|
||||
The `pages/api` directory is mapped to `/api/*`. Files in this directory are treated as [API routes](https://nextjs.org/docs/api-routes/introduction) instead of React pages.
|
||||
|
||||
This project uses [`next/font`](https://nextjs.org/docs/basic-features/font-optimization) to automatically optimize and load Inter, a custom Google Font.
|
||||
|
||||
## Learn More
|
||||
|
||||
To learn more about Next.js, take a look at the following resources:
|
||||
|
||||
- [Next.js Documentation](https://nextjs.org/docs) - learn about Next.js features and API.
|
||||
- [Learn Next.js](https://nextjs.org/learn) - an interactive Next.js tutorial.
|
||||
|
||||
You can check out [the Next.js GitHub repository](https://github.com/vercel/next.js/) - your feedback and contributions are welcome!
|
||||
|
||||
## Deploy on Vercel
|
||||
|
||||
The easiest way to deploy your Next.js app is to use the [Vercel Platform](https://vercel.com/new?utm_medium=default-template&filter=next.js&utm_source=create-next-app&utm_campaign=create-next-app-readme) from the creators of Next.js.
|
||||
|
||||
Check out our [Next.js deployment documentation](https://nextjs.org/docs/deployment) for more details.
|
||||
|
|
@ -0,0 +1,150 @@
|
|||
import React, { useRef, useState } from 'react'
|
||||
import { Canvas, useFrame, useThree } from '@react-three/fiber'
|
||||
import styles from "../styles/studio.module.css";
|
||||
import { OrbitControls } from '@react-three/drei'
|
||||
|
||||
import { useLoader } from '@react-three/fiber'
|
||||
import { GLTFLoader } from 'three/examples/jsm/loaders/GLTFLoader'
|
||||
import { useGLTF, useGLB } from "@react-three/drei";
|
||||
|
||||
// export function CanvasComponent({setCanvasRef}) {
|
||||
|
||||
|
||||
// return (
|
||||
// <>
|
||||
// <Canvas
|
||||
// gl={{ preserveDrawingBuffer: true }}
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||||
// >
|
||||
// <Scene setCanvasRef={setCanvasRef}/>
|
||||
// <OrbitControls dampingFactor={0.3} />
|
||||
// </Canvas>
|
||||
|
||||
// </>
|
||||
// )
|
||||
// }
|
||||
|
||||
// function Scene({setCanvasRef}) {
|
||||
// const gl = useThree((state) => state.gl)
|
||||
// setCanvasRef(gl.domElement);
|
||||
|
||||
|
||||
// return (
|
||||
// <>
|
||||
// <ambientLight />
|
||||
// <pointLight position={[10, 10, 10]} />
|
||||
|
||||
// <Model position={[0, 0, 0]} />
|
||||
// </>
|
||||
// )
|
||||
// }
|
||||
|
||||
|
||||
|
||||
// function Model(props) {
|
||||
// const { nodes, materials } = useGLTF("/sneaker.glb");
|
||||
// return (
|
||||
// <group {...props} dispose={null}>
|
||||
// <group rotation={[-Math.PI / 2, 0, 0]}>
|
||||
// <group rotation={[Math.PI / 2, 0, 0]} scale={0.01}>
|
||||
// <group
|
||||
// position={[0, 5.13, 0]}
|
||||
// rotation={[-Math.PI / 2, 0, 0]}
|
||||
// scale={100}
|
||||
// >
|
||||
// <mesh
|
||||
// geometry={nodes.Plane_Material_0.geometry}
|
||||
// material={materials.Material}
|
||||
// />
|
||||
// </group>
|
||||
// </group>
|
||||
// </group>
|
||||
// </group>
|
||||
// );
|
||||
// }
|
||||
|
||||
// useGLTF.preload("/sneaker.glb");
|
||||
|
||||
|
||||
|
||||
export function CanvasComponent({setCanvasRef, gltfModel}) {
|
||||
|
||||
|
||||
return (
|
||||
<>
|
||||
<Canvas
|
||||
gl={{ alpha:true, preserveDrawingBuffer: true }}
|
||||
>
|
||||
<Scene gltfModel={gltfModel} setCanvasRef={setCanvasRef}/>
|
||||
<OrbitControls dampingFactor={0.3} />
|
||||
</Canvas>
|
||||
|
||||
</>
|
||||
)
|
||||
}
|
||||
|
||||
|
||||
// function Scene({ setCanvasRef, gltfModel }) {
|
||||
// const gl = useThree((state) => state.gl)
|
||||
// setCanvasRef(gl.domElement);
|
||||
|
||||
// return (
|
||||
// <>
|
||||
|
||||
// <Model gltfModel={gltfModel} position={[0, 0, 0]} />
|
||||
// </>
|
||||
// )
|
||||
// }
|
||||
|
||||
|
||||
function Scene({ setCanvasRef, gltfModel }) {
|
||||
const { gl, camera } = useThree();
|
||||
|
||||
// Set camera position closer to the object
|
||||
// camera.position.set(0, 0, 5); // x, y, z
|
||||
|
||||
setCanvasRef(gl.domElement);
|
||||
|
||||
return (
|
||||
<>
|
||||
<ambientLight />
|
||||
<pointLight position={[1, 1, 1]} />
|
||||
<Light brightness={100} color={"white"} /> // highlight-line
|
||||
<Model gltfModel={gltfModel} position={[0, 0, 0]} />
|
||||
</>
|
||||
);
|
||||
}
|
||||
|
||||
|
||||
function Model({ gltfModel, ...props }) {
|
||||
|
||||
console.log(gltfModel)
|
||||
|
||||
|
||||
const { nodes, materials } = gltfModel;
|
||||
|
||||
console.log("model loaded")
|
||||
return (
|
||||
|
||||
<group
|
||||
scale={10}
|
||||
>
|
||||
<primitive object={gltfModel.scene} />
|
||||
</group>
|
||||
);
|
||||
}
|
||||
|
||||
function Light({ brightness, color }) {
|
||||
return (
|
||||
<rectAreaLight
|
||||
width={3}
|
||||
height={3}
|
||||
color={color}
|
||||
intensity={brightness}
|
||||
position={[-2, 0, 5]}
|
||||
lookAt={[0, 0, 0]}
|
||||
penumbra={1}
|
||||
castShadow
|
||||
/>
|
||||
);
|
||||
}
|
||||
// useGLTF.preload("/sneaker.glb");
|
||||
|
|
@ -0,0 +1,21 @@
|
|||
import React, { useState } from 'react';
|
||||
import styles from "./textinput.module.css";
|
||||
|
||||
function TextInput({ onTextChange }) {
|
||||
const [text, setText] = useState('');
|
||||
|
||||
function handleTextChange(event) {
|
||||
const newText = event.target.value;
|
||||
setText(newText);
|
||||
onTextChange(newText);
|
||||
}
|
||||
|
||||
return (
|
||||
<div className={styles.textInputContainer}>
|
||||
|
||||
<textarea id="text-input" wrap="soft" type="text" value={text} onChange={handleTextChange} className={styles.textInput} placeholder='Describe your scene here...'/>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
|
||||
export default TextInput;
|
||||
|
|
@ -0,0 +1,14 @@
|
|||
.textInput {
|
||||
width: 380px;
|
||||
overflow: hidden;
|
||||
height: 100px;
|
||||
resize: none;
|
||||
font-size: 1rem;
|
||||
font-family: Verdana, Geneva, Tahoma, sans-serif;
|
||||
padding: 10px;
|
||||
border-radius: 10px;
|
||||
}
|
||||
|
||||
.textInputContainer {
|
||||
width: 400px;
|
||||
}
|
||||
|
|
@ -0,0 +1,149 @@
|
|||
from flask import Flask, request
|
||||
from PIL import Image, ImageOps
|
||||
import requests
|
||||
import io
|
||||
import os
|
||||
import base64
|
||||
from flask_cors import CORS
|
||||
|
||||
app = Flask(__name__)
|
||||
CORS(app)
|
||||
|
||||
# authorization for removebg
|
||||
removebg_api_key = "YOUR_API_KEY"
|
||||
|
||||
@app.route('/get_item_mask', methods=['POST'])
|
||||
def get_item_mask():
|
||||
|
||||
# use remove bg to get a png image and convert it to a black and white mask image.
|
||||
print("get item mask called")
|
||||
|
||||
image_file = request.files['image']
|
||||
image_bytes = image_file.read()
|
||||
image = Image.open(io.BytesIO(image_bytes))
|
||||
|
||||
image = image.convert('RGB')
|
||||
|
||||
jpeg_buffer = io.BytesIO()
|
||||
image.save(jpeg_buffer, format='JPEG')
|
||||
|
||||
#print(jpeg_buffer.getvalue())
|
||||
|
||||
# set API endpoint and headers
|
||||
api_url = "https://api.remove.bg/v1.0/removebg"
|
||||
headers = {"X-Api-Key": removebg_api_key}
|
||||
|
||||
# send the request to remove.bg API
|
||||
response = requests.post(api_url, headers=headers, files={'image_file': jpeg_buffer.getvalue()})
|
||||
|
||||
|
||||
# Check if the API returned a successful response
|
||||
if response.status_code == requests.codes.ok:
|
||||
|
||||
# print("response is ok")
|
||||
# print("Success:", response.status_code, response.text)
|
||||
|
||||
# Save the PNG image to a file
|
||||
with open('output.png', 'wb') as out_file:
|
||||
out_file.write(response.content)
|
||||
|
||||
png_buffer = io.BytesIO()
|
||||
ux_mask_buffer = io.BytesIO()
|
||||
|
||||
response_image = Image.open(io.BytesIO(response.content))
|
||||
response_image = response_image.convert('RGBA')
|
||||
|
||||
ai_mask_image = convert_to_black_and_white(response_image)
|
||||
ai_mask_image = ai_mask_image.convert('RGB')
|
||||
ai_mask_image.save(png_buffer, format="JPEG")
|
||||
ai_mask_image_base64 = base64.b64encode(png_buffer.getvalue()).decode('utf-8')
|
||||
|
||||
|
||||
ux_mask_image = convert_to_green(response_image)
|
||||
ux_mask_image = ux_mask_image.convert('RGBA')
|
||||
ux_mask_image.save(ux_mask_buffer, format="PNG")
|
||||
|
||||
ux_mask_image.save('greenoutput.png')
|
||||
|
||||
ux_mask_image_base64 = base64.b64encode(ux_mask_buffer.getvalue()).decode('utf-8')
|
||||
|
||||
return {'ai_mask': ai_mask_image_base64, 'ux_mask': ux_mask_image_base64}
|
||||
|
||||
else:
|
||||
# Print an error message if the API call was not successful
|
||||
print("Error:", response.status_code, response.text)
|
||||
return {'error': "There was a problem with the remove bg operation"}
|
||||
|
||||
|
||||
def convert_to_black_and_white(image):
|
||||
|
||||
|
||||
# Create a new image with the same size as the original, but with a white background
|
||||
new_image = Image.new('RGB', image.size, (255, 255, 255))
|
||||
|
||||
# Create a mask for the alpha channel
|
||||
alpha_mask = image.split()[-1]
|
||||
|
||||
modified_alpha_mask = modify_alpha_mask(alpha_mask)
|
||||
|
||||
# Paste the original image onto the new image using the alpha channel as the mask
|
||||
new_image.paste(image, mask=modified_alpha_mask)
|
||||
|
||||
new_image.save('temp_mask_image.png')
|
||||
|
||||
# Convert the new image to grayscale
|
||||
new_image = new_image.convert('L')
|
||||
|
||||
new_image.save('temp_mask_image_grayscale.png')
|
||||
|
||||
# Convert all non-alpha pixels to black and all alpha pixels to white
|
||||
black_and_white_image = new_image.point(lambda x: 255 if x == 255 else 0, '1')
|
||||
|
||||
return black_and_white_image
|
||||
|
||||
|
||||
def modify_alpha_mask(alpha_mask):
|
||||
# Ensure the input image has an alpha channel
|
||||
if alpha_mask.mode != 'L':
|
||||
alpha_mask = alpha_mask.convert('L')
|
||||
|
||||
# Create a new image with modified alpha values
|
||||
modified_alpha_mask = Image.new('L', alpha_mask.size)
|
||||
|
||||
# Iterate over each pixel and modify the alpha value
|
||||
for x in range(alpha_mask.width):
|
||||
for y in range(alpha_mask.height):
|
||||
alpha_value = alpha_mask.getpixel((x, y))
|
||||
|
||||
# Check if the alpha value is semi-transparent (not fully transparent or opaque)
|
||||
if alpha_value > 0 and alpha_value < 100:
|
||||
alpha_value = 0 # Set to fully transparent
|
||||
|
||||
# Set the modified alpha value in the new image
|
||||
modified_alpha_mask.putpixel((x, y), alpha_value)
|
||||
|
||||
return modified_alpha_mask
|
||||
|
||||
|
||||
def convert_to_green(image):
|
||||
# Create a new image with the same size as the original, but with a transparent background
|
||||
new_image = Image.new('RGBA', image.size, (0, 0, 0, 0))
|
||||
|
||||
# Create a mask for the alpha channel
|
||||
alpha_mask = image.split()[-1]
|
||||
|
||||
# Paste the original image onto the new image using the alpha channel as the mask
|
||||
new_image.paste(image, mask=alpha_mask)
|
||||
|
||||
# Create a new image with the same size as the original, but with 0.5 alpha green color
|
||||
green_image = Image.new('RGBA', image.size, (255, 200, 0, 180))
|
||||
|
||||
# Create a mask for the alpha channel
|
||||
alpha_mask = new_image.split()[-1]
|
||||
|
||||
alpha_mask = ImageOps.invert(alpha_mask)
|
||||
|
||||
# Paste the green image onto the new image using the alpha channel as the mask
|
||||
new_image.paste(green_image, mask=alpha_mask)
|
||||
|
||||
return new_image
|
||||
Binary file not shown.
|
After Width: | Height: | Size: 68 KiB |
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|
After Width: | Height: | Size: 77 KiB |
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|
After Width: | Height: | Size: 57 KiB |
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|
After Width: | Height: | Size: 21 KiB |
|
|
@ -0,0 +1,7 @@
|
|||
{
|
||||
"compilerOptions": {
|
||||
"paths": {
|
||||
"@/*": ["./*"]
|
||||
}
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,29 @@
|
|||
module.exports = {
|
||||
reactStrictMode: true,
|
||||
images: {
|
||||
remotePatterns: [
|
||||
{
|
||||
protocol: "https",
|
||||
hostname: "replicate.com",
|
||||
},
|
||||
{
|
||||
protocol: "https",
|
||||
hostname: "pbxt.replicate.delivery",
|
||||
},
|
||||
],
|
||||
},
|
||||
// async headers() {
|
||||
// return [
|
||||
// {
|
||||
// source: '/(.*)',
|
||||
// headers: [
|
||||
// {
|
||||
// key: 'Content-Security-Policy',
|
||||
// value: "default-src 'self'; img-src 'self' blob: https://replicate.com https://pbxt.replicate.delivery; script-src 'self' 'unsafe-inline' 'unsafe-eval'; style-src 'self' 'unsafe-inline'; worker-src 'self' blob:; connect-src 'self' blob:;"
|
||||
// }
|
||||
|
||||
// ],
|
||||
// },
|
||||
// ];
|
||||
// },
|
||||
};
|
||||
|
|
@ -0,0 +1,31 @@
|
|||
{
|
||||
"name": "3d-to-photo",
|
||||
"version": "0.1.0",
|
||||
"private": true,
|
||||
"scripts": {
|
||||
"dev": "next dev",
|
||||
"build": "next build",
|
||||
"start": "next start",
|
||||
"lint": "next lint"
|
||||
},
|
||||
"dependencies": {
|
||||
"@react-three/drei": "^9.65.3",
|
||||
"@react-three/fiber": "^8.12.0",
|
||||
"@types/three": "^0.150.1",
|
||||
"axios": "^1.3.4",
|
||||
"buffer": "^6.0.3",
|
||||
"eslint": "8.36.0",
|
||||
"eslint-config-next": "13.2.4",
|
||||
"fabric": "^5.3.0",
|
||||
"form-data": "^4.0.0",
|
||||
"jimp": "^0.22.10",
|
||||
"next": "13.2.4",
|
||||
"next-images": "^1.8.4",
|
||||
"react": "18.2.0",
|
||||
"react-dom": "18.2.0",
|
||||
"react-dropzone": "^14.2.3",
|
||||
"sharp": "^0.32.6",
|
||||
"styled-components": "^5.3.9",
|
||||
"three": "^0.151.3"
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,5 @@
|
|||
import '@/styles/globals.css'
|
||||
|
||||
export default function App({ Component, pageProps }) {
|
||||
return <Component {...pageProps} />
|
||||
}
|
||||
|
|
@ -0,0 +1,13 @@
|
|||
import { Html, Head, Main, NextScript } from 'next/document'
|
||||
|
||||
export default function Document() {
|
||||
return (
|
||||
<Html lang="en">
|
||||
<Head />
|
||||
<body>
|
||||
<Main />
|
||||
<NextScript />
|
||||
</body>
|
||||
</Html>
|
||||
)
|
||||
}
|
||||
|
|
@ -0,0 +1,5 @@
|
|||
// Next.js API route support: https://nextjs.org/docs/api-routes/introduction
|
||||
|
||||
export default function handler(req, res) {
|
||||
res.status(200).json({ name: 'John Doe' })
|
||||
}
|
||||
|
|
@ -0,0 +1,20 @@
|
|||
export default async function handler(req, res) {
|
||||
const response = await fetch(
|
||||
"https://api.replicate.com/v1/predictions/" + req.query.id,
|
||||
{
|
||||
headers: {
|
||||
Authorization: `Token ${process.env.REPLICATE_API_TOKEN}`,
|
||||
"Content-Type": "application/json",
|
||||
},
|
||||
}
|
||||
);
|
||||
if (response.status !== 200) {
|
||||
let error = await response.json();
|
||||
res.statusCode = 500;
|
||||
res.end(JSON.stringify({ detail: error.detail }));
|
||||
return;
|
||||
}
|
||||
|
||||
const prediction = await response.json();
|
||||
res.end(JSON.stringify(prediction));
|
||||
}
|
||||
|
|
@ -0,0 +1,33 @@
|
|||
export default async function handler(req, res) {
|
||||
|
||||
console.log(`Token ${process.env.REPLICATE_API_TOKEN}`)
|
||||
|
||||
const response = await fetch("https://api.replicate.com/v1/predictions", {
|
||||
method: "POST",
|
||||
headers: {
|
||||
Authorization: `Token ${process.env.REPLICATE_API_TOKEN}`,
|
||||
"Content-Type": "application/json",
|
||||
},
|
||||
body: JSON.stringify({
|
||||
// Pinned to a specific version of Stable Diffusion
|
||||
// See https://replicate.com/stability-ai/stable-diffussion/versions
|
||||
// inpainting
|
||||
//model: "andreasjansson/stable-diffusion-inpainting",
|
||||
version: "e490d072a34a94a11e9711ed5a6ba621c3fab884eda1665d9d3a282d65a21180", // SD 1.5 inpainting
|
||||
//version: "f9bb0632bfdceb83196e85521b9b55895f8ff3d1d3b487fd1973210c0eb30bec", // SD v2 inpainting
|
||||
// This is the text prompt that will be submitted by a form on the frontend
|
||||
input: req.body,
|
||||
}),
|
||||
});
|
||||
|
||||
if (response.status !== 201) {
|
||||
let error = await response.json();
|
||||
res.statusCode = 500;
|
||||
res.end(JSON.stringify({ detail: error.detail }));
|
||||
return;
|
||||
}
|
||||
|
||||
const prediction = await response.json();
|
||||
res.statusCode = 201;
|
||||
res.end(JSON.stringify(prediction));
|
||||
}
|
||||
|
|
@ -0,0 +1,520 @@
|
|||
import { useState, useEffect, useRef } from "react";
|
||||
import Head from "next/head";
|
||||
import Image from "next/image";
|
||||
import styles from "../styles/studio.module.css";
|
||||
import FormData from 'form-data';
|
||||
import Dropzone from 'react-dropzone';
|
||||
import { userAgentFromString } from "next/server";
|
||||
import TextInput from "@/components/textinput";
|
||||
import { Canvas, useFrame, useThree } from '@react-three/fiber'
|
||||
import { GLTFLoader } from 'three/examples/jsm/loaders/GLTFLoader';
|
||||
import {CanvasComponent} from "@/components/canvascomponent";
|
||||
|
||||
|
||||
/*
|
||||
links for thereejs implementation
|
||||
https://codesandbox.io/s/basic-demo-forked-rnuve?file=/src/App.js
|
||||
|
||||
*/
|
||||
|
||||
|
||||
const sleep = (ms) => new Promise((r) => setTimeout(r, ms));
|
||||
|
||||
|
||||
export default function Studio(){
|
||||
|
||||
// const imageContainer = {
|
||||
// position: 'absolute',
|
||||
// top: '0',
|
||||
// left: '0',
|
||||
// backgroundColor: 'rgb(70, 232, 83)',
|
||||
// height: '100%',
|
||||
// width: '100%',
|
||||
// };
|
||||
|
||||
const [canvasSnapshotUrl, setCanvasSnapshotUrl] = useState(null)
|
||||
const [maskImageUrl, setMaskImageUrl] = useState(null);
|
||||
const [uxMaskImageUrl, setUxMaskImageUrl] = useState(null);
|
||||
|
||||
const [imageFile, setImageFile] = useState(null)
|
||||
const [modelFile, setModelFile] = useState(null);
|
||||
const [modelBuffer, setModelBuffer] = useState(null);
|
||||
const [gltfModel, setGltfModel] = useState(null);
|
||||
|
||||
const [isImgUploadVisible, setIsImgUploadVisible] = useState(null)
|
||||
const [isMaskVisible, setIsMaskVisible] = useState(null)
|
||||
const [isResultVisible, setIsResultVisible] = useState(null)
|
||||
const [isFlashingProgressVisible, setIsFlashingProgressVisible] = useState(null)
|
||||
|
||||
const [prediction, setPrediction] = useState(null);
|
||||
const [error, setError] = useState(null);
|
||||
|
||||
const [inputValue, setInputValue] = useState('');
|
||||
|
||||
// create a canvas reference in the main state
|
||||
const [canvasRef, setCanvasRef] = useState(null);
|
||||
|
||||
function handleInputValueChange(newInputValue) {
|
||||
setInputValue(newInputValue);
|
||||
}
|
||||
|
||||
useEffect(() => {
|
||||
console.log("loaded the page");
|
||||
|
||||
// define visibiltiy of the 3 layers
|
||||
setIsImgUploadVisible(true)
|
||||
setIsMaskVisible(true)
|
||||
setIsResultVisible(false)
|
||||
setIsFlashingProgressVisible(false)
|
||||
|
||||
},[]);
|
||||
|
||||
|
||||
const handleDrop = (event) => {
|
||||
event.preventDefault();
|
||||
|
||||
const file = event.dataTransfer.files[0];
|
||||
if (file && file.name.endsWith('.glb')) {
|
||||
const reader = new FileReader();
|
||||
|
||||
reader.readAsArrayBuffer(file);
|
||||
reader.onload = (event) => {
|
||||
const arrayBuffer = event.target.result;
|
||||
|
||||
const loader = new GLTFLoader();
|
||||
loader.parse(arrayBuffer, '', (gltf) => {
|
||||
setGltfModel(gltf);
|
||||
console.log("gltf model loaded")
|
||||
console.log('Loaded Scene:', gltf.scene);
|
||||
|
||||
}, (error) => {
|
||||
console.error('ArrayBuffer loading error:', error);
|
||||
});
|
||||
};
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
const getReplicateResults = async (image, mask) => {
|
||||
|
||||
setIsFlashingProgressVisible(true)
|
||||
|
||||
let promptText = "beautiful living room"
|
||||
|
||||
if (inputValue) {
|
||||
promptText = inputValue
|
||||
}
|
||||
|
||||
const response = await fetch("/api/predictions", {
|
||||
method: "POST",
|
||||
headers: {
|
||||
"Content-Type": "application/json",
|
||||
},
|
||||
body: JSON.stringify({
|
||||
//prompt: e.target.prompt.value,
|
||||
//prompt: "high resolution photography of a beige interior living room with dining chairs, around dining table, wooden floor, beige blue salmon pastel, sunlight, contrast, realistic artstation concept art, hyperdetailed, ultradetail, cinematic 8k, architectural rendering, unreal engine 5, rtx, volumetric light, cozy atmosphere",
|
||||
//prompt: "minimalist kitchen, wooden floor, beige blue salmon pastel, sunlight, contrast, realistic artstation concept art, hyperdetailed, ultradetail, cinematic 8k, architectural rendering, unreal engine 5, rtx, volumetric light, cozy atmosphere",
|
||||
prompt: promptText + ", creative marketing advertisement",
|
||||
negative_prompt: "blurry, painting, cartoon, abstract, ugly, deformed",
|
||||
image: image,
|
||||
mask: mask,
|
||||
num_outputs: 4,
|
||||
guidance_scale: 7.5,
|
||||
}),
|
||||
});
|
||||
let prediction = await response.json();
|
||||
if (response.status !== 201) {
|
||||
setError(prediction.detail);
|
||||
return;
|
||||
}
|
||||
setPrediction(prediction);
|
||||
|
||||
while (
|
||||
prediction.status !== "succeeded" &&
|
||||
prediction.status !== "failed"
|
||||
) {
|
||||
await sleep(1000);
|
||||
const response = await fetch("/api/predictions/" + prediction.id);
|
||||
prediction = await response.json();
|
||||
if (response.status !== 200) {
|
||||
setError(prediction.detail);
|
||||
return;
|
||||
}
|
||||
|
||||
if (prediction.status == "succeeded" && prediction.output) {
|
||||
setIsImgUploadVisible(true)
|
||||
setIsMaskVisible(true)
|
||||
setIsResultVisible(true)
|
||||
setIsFlashingProgressVisible(false)
|
||||
}
|
||||
|
||||
console.log({prediction})
|
||||
setPrediction(prediction);
|
||||
}
|
||||
};
|
||||
|
||||
async function generateImages() {
|
||||
console.log("Called the generate images function")
|
||||
|
||||
// Do something with the image data URL
|
||||
let snapshotImage = capture3DSnapshot()
|
||||
|
||||
const formData = new FormData();
|
||||
formData.append('image', snapshotImage);
|
||||
|
||||
if (!snapshotImage) {
|
||||
console.log("image file is null")
|
||||
}
|
||||
// Generate base64 url image for remove bg
|
||||
|
||||
|
||||
|
||||
try {
|
||||
|
||||
const response = await fetch('http://127.0.0.1:5000/get_item_mask', {
|
||||
method: 'POST',
|
||||
body: formData
|
||||
});
|
||||
|
||||
// Handle response
|
||||
// const imageBlob = await response.blob();
|
||||
// const url = URL.createObjectURL(imageBlob);
|
||||
// setMaskImageUrl(url)
|
||||
console.log(response)
|
||||
|
||||
const data = await response.json();
|
||||
//console.log(data.image)
|
||||
|
||||
let maskBase64Url = `data:image/jpeg;base64,${data.ai_mask}`
|
||||
let uxMaskBase64Url = `data:image/jpeg;base64,${data.ux_mask}`
|
||||
|
||||
setMaskImageUrl(maskBase64Url)
|
||||
setUxMaskImageUrl(uxMaskBase64Url)
|
||||
|
||||
setIsMaskVisible(true)
|
||||
setIsImgUploadVisible(true)
|
||||
setIsResultVisible(false)
|
||||
|
||||
|
||||
let imageURLTemp = "https://images.unsplash.com/photo-1490730141103-6cac27aaab94?ixlib=rb-4.0.3&ixid=MnwxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8&auto=format&fit=crop&w=2940&q=80"
|
||||
|
||||
// Generate base64 image for input image.
|
||||
// Filereader converts a file blob into a base64 string
|
||||
const reader = new FileReader();
|
||||
reader.readAsDataURL(snapshotImage);
|
||||
reader.onload = async () => {
|
||||
const imageBase64Url = reader.result;
|
||||
|
||||
// now send a request to replicate
|
||||
await getReplicateResults(imageBase64Url ,maskBase64Url)
|
||||
|
||||
};
|
||||
|
||||
|
||||
} catch (error) {
|
||||
console.error(error);
|
||||
}
|
||||
|
||||
// const img = document.createElement('img');
|
||||
// img.src = url;
|
||||
// document.body.appendChild(img);
|
||||
}
|
||||
|
||||
function base64ToBlob(base64Image) {
|
||||
const parts = base64Image.split(';base64,');
|
||||
const mimeType = parts[0].split(':')[1];
|
||||
const byteString = atob(parts[1]);
|
||||
const arrayBuffer = new ArrayBuffer(byteString.length);
|
||||
const uint8Array = new Uint8Array(arrayBuffer);
|
||||
|
||||
for (let i = 0; i < byteString.length; i++) {
|
||||
uint8Array[i] = byteString.charCodeAt(i);
|
||||
}
|
||||
|
||||
return new Blob([arrayBuffer], { type: mimeType });
|
||||
}
|
||||
|
||||
function capture3DSnapshot() {
|
||||
|
||||
const dataUrl = canvasRef.toDataURL("image/png")
|
||||
setCanvasSnapshotUrl(dataUrl)
|
||||
|
||||
const blob = base64ToBlob(dataUrl);
|
||||
setImageFile(blob)
|
||||
setIsMaskVisible(false)
|
||||
setIsImgUploadVisible(true)
|
||||
setIsResultVisible(false)
|
||||
|
||||
|
||||
return blob
|
||||
|
||||
}
|
||||
|
||||
//download snapshot
|
||||
const download3DSnapshot = () => {
|
||||
const link = document.createElement("a");
|
||||
link.setAttribute("download", "canvas.png");
|
||||
link.setAttribute(
|
||||
"href",
|
||||
canvasRef.toDataURL("image/png").replace("image/png", "image/octet-stream")
|
||||
);
|
||||
link.click();
|
||||
};
|
||||
|
||||
|
||||
return(
|
||||
<div className={styles.page}>
|
||||
|
||||
{/* threejs container */}
|
||||
|
||||
<div className={styles.inputPanel}>
|
||||
{/* <div className={styles.mainImageContainer}>
|
||||
{isImgUploadVisible? (
|
||||
<div
|
||||
className={styles.imageContainer}
|
||||
onDrop={handleDrop}
|
||||
onDragOver={(event) => event.preventDefault()}
|
||||
>
|
||||
{imageFile? (
|
||||
<div>
|
||||
<Image
|
||||
src={URL.createObjectURL(imageFile)}
|
||||
alt="Uploaded image"
|
||||
fill={true}
|
||||
/>
|
||||
</div>
|
||||
) : (
|
||||
<div className={styles.dragAndDropText}>Drag and Drop your image here</div>
|
||||
)}
|
||||
|
||||
</div>
|
||||
): (<></>)
|
||||
}
|
||||
<CanvasComponent setCanvasRef={setCanvasRef} />
|
||||
|
||||
</div> */}
|
||||
|
||||
<div className={styles.mainImageContainer}>
|
||||
<div
|
||||
className={styles.imageContainer}
|
||||
onDrop={handleDrop}
|
||||
onDragOver={(event) => event.preventDefault()}
|
||||
>
|
||||
{gltfModel ? <CanvasComponent setCanvasRef={setCanvasRef} gltfModel={gltfModel} /> : "Drop your GLB model here"}
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div><TextInput onTextChange={handleInputValueChange} /></div>
|
||||
|
||||
<div className={styles.buttonContainer}>
|
||||
{/* <div
|
||||
className={styles.startNewButton}
|
||||
onClick={()=>setImageFile(null)}
|
||||
>
|
||||
Start New
|
||||
</div> */}
|
||||
|
||||
<div
|
||||
className={styles.generateButton}
|
||||
onClick={()=>generateImages()}
|
||||
>
|
||||
Generate Images
|
||||
</div>
|
||||
|
||||
|
||||
</div>
|
||||
|
||||
|
||||
</div>
|
||||
|
||||
|
||||
<div className={styles.resultsPanel}>
|
||||
|
||||
{/* {isImgUploadVisible? (
|
||||
<div
|
||||
className={styles.imageContainer}
|
||||
onDrop={handleDrop}
|
||||
onDragOver={(event) => event.preventDefault()}
|
||||
>
|
||||
{imageFile? (
|
||||
<div>
|
||||
<Image
|
||||
src={URL.createObjectURL(imageFile)}
|
||||
alt="Uploaded image"
|
||||
fill={true}
|
||||
/>
|
||||
</div>
|
||||
) : (
|
||||
<div className={styles.dragAndDropText}>Drag and Drop your image here. Or click 3D</div>
|
||||
)}
|
||||
|
||||
|
||||
{canvasSnapshotUrl? (
|
||||
<div>
|
||||
<Image
|
||||
src={canvasSnapshotUrl}
|
||||
alt="Uploaded image"
|
||||
fill={true}
|
||||
/>
|
||||
</div>
|
||||
) : (
|
||||
<></>
|
||||
)
|
||||
}
|
||||
|
||||
</div>
|
||||
): (<></>)
|
||||
} */}
|
||||
|
||||
{/* {canvasSnapshotUrl? (
|
||||
<div
|
||||
className={`${styles.maskImageContainer} ${canvasSnapshotUrl ? styles.slideDown : ""}`}
|
||||
>
|
||||
{canvasSnapshotUrl? (
|
||||
<Image
|
||||
src={canvasSnapshotUrl? canvasSnapshotUrl : ""}
|
||||
alt="output"
|
||||
fill="true"
|
||||
hidden={!canvasSnapshotUrl}
|
||||
/>
|
||||
):(
|
||||
<div> </div>
|
||||
)
|
||||
}
|
||||
</div>
|
||||
) : (
|
||||
<></>
|
||||
)} */}
|
||||
|
||||
{/* <div
|
||||
className={`${styles.maskImageContainer} ${isMaskVisible ? styles.slideDown : ""}`}
|
||||
>
|
||||
{uxMaskImageUrl? (
|
||||
<Image
|
||||
src={uxMaskImageUrl? uxMaskImageUrl : ""}
|
||||
alt="output"
|
||||
width="400"
|
||||
height="400"
|
||||
objectFit="contain"
|
||||
hidden={!uxMaskImageUrl}
|
||||
/>
|
||||
):(
|
||||
<div> </div>
|
||||
)
|
||||
}
|
||||
</div> */}
|
||||
|
||||
|
||||
{/* {isFlashingProgressVisible? (
|
||||
<div
|
||||
className={styles.flashingProgressContainer}
|
||||
>
|
||||
|
||||
</div>
|
||||
|
||||
):(<></>)} */}
|
||||
|
||||
{isResultVisible? (
|
||||
<>
|
||||
|
||||
<div>
|
||||
{prediction.output && (
|
||||
<div className={styles.imageResultsContainer}>
|
||||
<div className={styles.imageWrapper}>
|
||||
<Image
|
||||
fill
|
||||
src={prediction.output[0]}
|
||||
alt="output"
|
||||
/>
|
||||
</div>
|
||||
<div className={styles.imageWrapper}>
|
||||
<Image
|
||||
fill
|
||||
src={prediction.output[1]}
|
||||
alt="output"
|
||||
/>
|
||||
</div>
|
||||
<div className={styles.imageWrapper}>
|
||||
<Image
|
||||
fill
|
||||
src={prediction.output[2]}
|
||||
alt="output"
|
||||
/>
|
||||
</div>
|
||||
<div className={styles.imageWrapper}>
|
||||
<Image
|
||||
fill
|
||||
src={prediction.output[3]}
|
||||
alt="output"
|
||||
/>
|
||||
</div>
|
||||
</div>
|
||||
)}
|
||||
|
||||
</div>
|
||||
|
||||
|
||||
</>
|
||||
) : (
|
||||
<></>
|
||||
)}
|
||||
{
|
||||
isFlashingProgressVisible?
|
||||
(<p>Loading...</p>):(<></>)
|
||||
}
|
||||
|
||||
|
||||
|
||||
|
||||
</div>
|
||||
|
||||
{/* <div className={styles.contentPanel}>
|
||||
|
||||
{error && <div>{error}</div>}
|
||||
|
||||
{prediction && (
|
||||
<div>
|
||||
{prediction.output && (
|
||||
<div className={styles.imageResultsContainer}>
|
||||
<div className={styles.imageWrapper}>
|
||||
<Image
|
||||
fill
|
||||
src={prediction.output[0]}
|
||||
alt="output"
|
||||
/>
|
||||
</div>
|
||||
<div className={styles.imageWrapper}>
|
||||
<Image
|
||||
fill
|
||||
src={prediction.output[1]}
|
||||
alt="output"
|
||||
/>
|
||||
</div>
|
||||
<div className={styles.imageWrapper}>
|
||||
<Image
|
||||
fill
|
||||
src={prediction.output[2]}
|
||||
alt="output"
|
||||
/>
|
||||
</div>
|
||||
<div className={styles.imageWrapper}>
|
||||
<Image
|
||||
fill
|
||||
src={prediction.output[3]}
|
||||
alt="output"
|
||||
/>
|
||||
</div>
|
||||
</div>
|
||||
)}
|
||||
<p>status: {prediction.status}</p>
|
||||
</div>
|
||||
)}
|
||||
|
||||
|
||||
|
||||
</div> */}
|
||||
|
||||
</div>
|
||||
);
|
||||
|
||||
}
|
||||
Binary file not shown.
|
After Width: | Height: | Size: 25 KiB |
|
|
@ -0,0 +1 @@
|
|||
<svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 394 80"><path fill="#000" d="M262 0h68.5v12.7h-27.2v66.6h-13.6V12.7H262V0ZM149 0v12.7H94v20.4h44.3v12.6H94v21h55v12.6H80.5V0h68.7zm34.3 0h-17.8l63.8 79.4h17.9l-32-39.7 32-39.6h-17.9l-23 28.6-23-28.6zm18.3 56.7-9-11-27.1 33.7h17.8l18.3-22.7z"/><path fill="#000" d="M81 79.3 17 0H0v79.3h13.6V17l50.2 62.3H81Zm252.6-.4c-1 0-1.8-.4-2.5-1s-1.1-1.6-1.1-2.6.3-1.8 1-2.5 1.6-1 2.6-1 1.8.3 2.5 1a3.4 3.4 0 0 1 .6 4.3 3.7 3.7 0 0 1-3 1.8zm23.2-33.5h6v23.3c0 2.1-.4 4-1.3 5.5a9.1 9.1 0 0 1-3.8 3.5c-1.6.8-3.5 1.3-5.7 1.3-2 0-3.7-.4-5.3-1s-2.8-1.8-3.7-3.2c-.9-1.3-1.4-3-1.4-5h6c.1.8.3 1.6.7 2.2s1 1.2 1.6 1.5c.7.4 1.5.5 2.4.5 1 0 1.8-.2 2.4-.6a4 4 0 0 0 1.6-1.8c.3-.8.5-1.8.5-3V45.5zm30.9 9.1a4.4 4.4 0 0 0-2-3.3 7.5 7.5 0 0 0-4.3-1.1c-1.3 0-2.4.2-3.3.5-.9.4-1.6 1-2 1.6a3.5 3.5 0 0 0-.3 4c.3.5.7.9 1.3 1.2l1.8 1 2 .5 3.2.8c1.3.3 2.5.7 3.7 1.2a13 13 0 0 1 3.2 1.8 8.1 8.1 0 0 1 3 6.5c0 2-.5 3.7-1.5 5.1a10 10 0 0 1-4.4 3.5c-1.8.8-4.1 1.2-6.8 1.2-2.6 0-4.9-.4-6.8-1.2-2-.8-3.4-2-4.5-3.5a10 10 0 0 1-1.7-5.6h6a5 5 0 0 0 3.5 4.6c1 .4 2.2.6 3.4.6 1.3 0 2.5-.2 3.5-.6 1-.4 1.8-1 2.4-1.7a4 4 0 0 0 .8-2.4c0-.9-.2-1.6-.7-2.2a11 11 0 0 0-2.1-1.4l-3.2-1-3.8-1c-2.8-.7-5-1.7-6.6-3.2a7.2 7.2 0 0 1-2.4-5.7 8 8 0 0 1 1.7-5 10 10 0 0 1 4.3-3.5c2-.8 4-1.2 6.4-1.2 2.3 0 4.4.4 6.2 1.2 1.8.8 3.2 2 4.3 3.4 1 1.4 1.5 3 1.5 5h-5.8z"/></svg>
|
||||
|
After Width: | Height: | Size: 1.3 KiB |
Binary file not shown.
|
|
@ -0,0 +1 @@
|
|||
<svg xmlns="http://www.w3.org/2000/svg" width="40" height="31" fill="none"><g opacity=".9"><path fill="url(#a)" d="M13 .4v29.3H7V6.3h-.2L0 10.5V5L7.2.4H13Z"/><path fill="url(#b)" d="M28.8 30.1c-2.2 0-4-.3-5.7-1-1.7-.8-3-1.8-4-3.1a7.7 7.7 0 0 1-1.4-4.6h6.2c0 .8.3 1.4.7 2 .4.5 1 .9 1.7 1.2.7.3 1.6.4 2.5.4 1 0 1.7-.2 2.5-.5.7-.3 1.3-.8 1.7-1.4.4-.6.6-1.2.6-2s-.2-1.5-.7-2.1c-.4-.6-1-1-1.8-1.4-.8-.4-1.8-.5-2.9-.5h-2.7v-4.6h2.7a6 6 0 0 0 2.5-.5 4 4 0 0 0 1.7-1.3c.4-.6.6-1.3.6-2a3.5 3.5 0 0 0-2-3.3 5.6 5.6 0 0 0-4.5 0 4 4 0 0 0-1.7 1.2c-.4.6-.6 1.2-.6 2h-6c0-1.7.6-3.2 1.5-4.5 1-1.3 2.2-2.3 3.8-3C25 .4 26.8 0 28.8 0s3.8.4 5.3 1.1c1.5.7 2.7 1.7 3.6 3a7.2 7.2 0 0 1 1.2 4.2c0 1.6-.5 3-1.5 4a7 7 0 0 1-4 2.2v.2c2.2.3 3.8 1 5 2.2a6.4 6.4 0 0 1 1.6 4.6c0 1.7-.5 3.1-1.4 4.4a9.7 9.7 0 0 1-4 3.1c-1.7.8-3.7 1.1-5.8 1.1Z"/></g><defs><linearGradient id="a" x1="20" x2="20" y1="0" y2="30.1" gradientUnits="userSpaceOnUse"><stop/><stop offset="1" stop-color="#3D3D3D"/></linearGradient><linearGradient id="b" x1="20" x2="20" y1="0" y2="30.1" gradientUnits="userSpaceOnUse"><stop/><stop offset="1" stop-color="#3D3D3D"/></linearGradient></defs></svg>
|
||||
|
After Width: | Height: | Size: 1.1 KiB |
|
|
@ -0,0 +1 @@
|
|||
<svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 283 64"><path fill="black" d="M141 16c-11 0-19 7-19 18s9 18 20 18c7 0 13-3 16-7l-7-5c-2 3-6 4-9 4-5 0-9-3-10-7h28v-3c0-11-8-18-19-18zm-9 15c1-4 4-7 9-7s8 3 9 7h-18zm117-15c-11 0-19 7-19 18s9 18 20 18c6 0 12-3 16-7l-8-5c-2 3-5 4-8 4-5 0-9-3-11-7h28l1-3c0-11-8-18-19-18zm-10 15c2-4 5-7 10-7s8 3 9 7h-19zm-39 3c0 6 4 10 10 10 4 0 7-2 9-5l8 5c-3 5-9 8-17 8-11 0-19-7-19-18s8-18 19-18c8 0 14 3 17 8l-8 5c-2-3-5-5-9-5-6 0-10 4-10 10zm83-29v46h-9V5h9zM37 0l37 64H0L37 0zm92 5-27 48L74 5h10l18 30 17-30h10zm59 12v10l-3-1c-6 0-10 4-10 10v15h-9V17h9v9c0-5 6-9 13-9z"/></svg>
|
||||
|
After Width: | Height: | Size: 629 B |
|
|
@ -0,0 +1,35 @@
|
|||
.container {
|
||||
padding: 2rem;
|
||||
font-size: 1.3rem;
|
||||
max-width: 48rem;
|
||||
margin: 0 auto;
|
||||
}
|
||||
|
||||
.form {
|
||||
display: flex;
|
||||
margin-bottom: 2rem;
|
||||
}
|
||||
|
||||
.form input {
|
||||
width: 100%;
|
||||
padding: 1rem;
|
||||
border: 1px solid #000;
|
||||
border-radius: 0.25rem;
|
||||
font-size: 1.3rem;
|
||||
margin-right: 1rem;
|
||||
}
|
||||
|
||||
.form button {
|
||||
padding: 1rem;
|
||||
border: none;
|
||||
border-radius: 0.25rem;
|
||||
box-sizing: border-box;
|
||||
cursor: pointer;
|
||||
font-size: 1.3rem;
|
||||
}
|
||||
|
||||
.imageWrapper {
|
||||
width: 100%;
|
||||
aspect-ratio: 1 / 1;
|
||||
position: relative
|
||||
}
|
||||
|
|
@ -0,0 +1,111 @@
|
|||
body {
|
||||
font-family: sans-serif;
|
||||
}
|
||||
|
||||
/* :root {
|
||||
--max-width: 1100px;
|
||||
--border-radius: 12px;
|
||||
--font-mono: ui-monospace, Menlo, Monaco, 'Cascadia Mono', 'Segoe UI Mono',
|
||||
'Roboto Mono', 'Oxygen Mono', 'Ubuntu Monospace', 'Source Code Pro',
|
||||
'Fira Mono', 'Droid Sans Mono', 'Courier New', monospace;
|
||||
|
||||
--foreground-rgb: 0, 0, 0;
|
||||
--background-start-rgb: 214, 219, 220;
|
||||
--background-end-rgb: 255, 255, 255;
|
||||
|
||||
--primary-glow: conic-gradient(
|
||||
from 180deg at 50% 50%,
|
||||
#16abff33 0deg,
|
||||
#0885ff33 55deg,
|
||||
#54d6ff33 120deg,
|
||||
#0071ff33 160deg,
|
||||
transparent 360deg
|
||||
);
|
||||
--secondary-glow: radial-gradient(
|
||||
rgba(255, 255, 255, 1),
|
||||
rgba(255, 255, 255, 0)
|
||||
);
|
||||
|
||||
--tile-start-rgb: 239, 245, 249;
|
||||
--tile-end-rgb: 228, 232, 233;
|
||||
--tile-border: conic-gradient(
|
||||
#00000080,
|
||||
#00000040,
|
||||
#00000030,
|
||||
#00000020,
|
||||
#00000010,
|
||||
#00000010,
|
||||
#00000080
|
||||
);
|
||||
|
||||
--callout-rgb: 238, 240, 241;
|
||||
--callout-border-rgb: 172, 175, 176;
|
||||
--card-rgb: 180, 185, 188;
|
||||
--card-border-rgb: 131, 134, 135;
|
||||
}
|
||||
|
||||
@media (prefers-color-scheme: dark) {
|
||||
:root {
|
||||
--foreground-rgb: 255, 255, 255;
|
||||
--background-start-rgb: 0, 0, 0;
|
||||
--background-end-rgb: 0, 0, 0;
|
||||
|
||||
--primary-glow: radial-gradient(rgba(1, 65, 255, 0.4), rgba(1, 65, 255, 0));
|
||||
--secondary-glow: linear-gradient(
|
||||
to bottom right,
|
||||
rgba(1, 65, 255, 0),
|
||||
rgba(1, 65, 255, 0),
|
||||
rgba(1, 65, 255, 0.3)
|
||||
);
|
||||
|
||||
--tile-start-rgb: 2, 13, 46;
|
||||
--tile-end-rgb: 2, 5, 19;
|
||||
--tile-border: conic-gradient(
|
||||
#ffffff80,
|
||||
#ffffff40,
|
||||
#ffffff30,
|
||||
#ffffff20,
|
||||
#ffffff10,
|
||||
#ffffff10,
|
||||
#ffffff80
|
||||
);
|
||||
|
||||
--callout-rgb: 20, 20, 20;
|
||||
--callout-border-rgb: 108, 108, 108;
|
||||
--card-rgb: 100, 100, 100;
|
||||
--card-border-rgb: 200, 200, 200;
|
||||
}
|
||||
}
|
||||
|
||||
* {
|
||||
box-sizing: border-box;
|
||||
padding: 0;
|
||||
margin: 0;
|
||||
}
|
||||
|
||||
html,
|
||||
body {
|
||||
max-width: 100vw;
|
||||
overflow-x: hidden;
|
||||
}
|
||||
|
||||
body {
|
||||
color: rgb(var(--foreground-rgb));
|
||||
background: linear-gradient(
|
||||
to bottom,
|
||||
transparent,
|
||||
rgb(var(--background-end-rgb))
|
||||
)
|
||||
rgb(var(--background-start-rgb));
|
||||
}
|
||||
|
||||
a {
|
||||
color: inherit;
|
||||
text-decoration: none;
|
||||
}
|
||||
|
||||
@media (prefers-color-scheme: dark) {
|
||||
html {
|
||||
color-scheme: dark;
|
||||
}
|
||||
} */
|
||||
|
|
@ -0,0 +1,176 @@
|
|||
|
||||
.page {
|
||||
background-color: rgb(255, 255, 255);
|
||||
padding: 50px;
|
||||
display: flex;
|
||||
flex-direction: row;
|
||||
justify-content: center;
|
||||
}
|
||||
|
||||
.inputPanel{
|
||||
background-color: rgb(255, 255, 255);
|
||||
justify-content: flex-start;
|
||||
align-items: center;
|
||||
padding: 10px;
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
box-sizing: border-box;
|
||||
flex: 1;
|
||||
}
|
||||
|
||||
.resultsPanel {
|
||||
flex: 2;
|
||||
|
||||
}
|
||||
|
||||
.contentPanel{
|
||||
background-color: rgb(169, 169, 169);
|
||||
width: 70%;
|
||||
height: 100vh;
|
||||
margin-top: 10px;
|
||||
}
|
||||
|
||||
.mainImageContainer{
|
||||
position: relative;
|
||||
height: 400px;
|
||||
width: 400px;
|
||||
margin-bottom: 10px;
|
||||
}
|
||||
|
||||
.imageContainer{
|
||||
position: absolute;
|
||||
top: 0;
|
||||
left: 0;
|
||||
background-color: rgb(215, 215, 215);
|
||||
height: 100%;
|
||||
width: 100%;
|
||||
text-align: center;
|
||||
display: flex;
|
||||
justify-content: center;
|
||||
align-items: center;
|
||||
font-size: 1rem;
|
||||
font-family: Verdana, Geneva, Tahoma, sans-serif;
|
||||
color: grey;
|
||||
}
|
||||
|
||||
.dragAndDropText{
|
||||
max-width: 50%;
|
||||
line-height: 1.6rem;
|
||||
}
|
||||
|
||||
.maskImageContainer{
|
||||
position: absolute;
|
||||
top: 0;
|
||||
left: 0;
|
||||
background-color: rgba(59, 32, 113, 0);
|
||||
height: 0;
|
||||
width: 100%;
|
||||
text-align: center;
|
||||
overflow: hidden;
|
||||
transition: height 0.2s ease-in;
|
||||
z-index: 10;
|
||||
}
|
||||
|
||||
.flashingProgressContainer{
|
||||
position: absolute;
|
||||
top: 0;
|
||||
left: 0;
|
||||
background-color: rgba(59, 32, 113, 0);
|
||||
height: 100%;
|
||||
width: 100%;
|
||||
overflow: hidden;
|
||||
z-index: 15;
|
||||
animation: flash 1s infinite;
|
||||
}
|
||||
|
||||
@keyframes flash {
|
||||
0% {
|
||||
background-color: transparent;
|
||||
}
|
||||
50% {
|
||||
background-color: rgba(255, 255, 255, 0.3);
|
||||
}
|
||||
100% {
|
||||
background-color: transparent;
|
||||
}
|
||||
}
|
||||
|
||||
.resultsImageContainer{
|
||||
position: absolute;
|
||||
top: 0;
|
||||
left: 0;
|
||||
background-color: rgba(59, 32, 113, 0);
|
||||
height: 100%;
|
||||
width: 100%;
|
||||
text-align: center;
|
||||
overflow: hidden;
|
||||
z-index: 20;
|
||||
}
|
||||
|
||||
.slideDown {
|
||||
height: 400px;
|
||||
}
|
||||
|
||||
.maskDisplayContainer{
|
||||
position: absolute;
|
||||
top: 0;
|
||||
left: 0;
|
||||
background-color: rgb(70, 232, 83);
|
||||
height: 100%;
|
||||
width: 100%;
|
||||
z-index: 10;
|
||||
}
|
||||
|
||||
.imageWrapper {
|
||||
background-color: rgb(188, 216, 207);
|
||||
width: 45%;
|
||||
aspect-ratio: 1 / 1;
|
||||
position: relative;
|
||||
margin: 10px;
|
||||
}
|
||||
|
||||
.imageResultsContainer {
|
||||
display: flex;
|
||||
flex-wrap: wrap;
|
||||
}
|
||||
|
||||
.generateButton{
|
||||
width: 40%;
|
||||
height: 50px;
|
||||
border-radius: 10px;
|
||||
margin-top: 10px;
|
||||
background-color: rgb(255, 200, 0);
|
||||
display: flex;
|
||||
justify-content: center;
|
||||
align-items: center;
|
||||
cursor:pointer;
|
||||
font-size: 1rem;
|
||||
font-family: Verdana, Geneva, Tahoma, sans-serif;
|
||||
padding-left: 5px;
|
||||
padding-right: 5px;
|
||||
}
|
||||
.startNewButton{
|
||||
width: 40%;
|
||||
height: 50px;
|
||||
border-radius: 10px;
|
||||
margin-top: 10px;
|
||||
background-color: rgb(215, 215, 215);
|
||||
display: flex;
|
||||
justify-content: center;
|
||||
align-items: center;
|
||||
cursor:pointer;
|
||||
font-size: 1rem;
|
||||
font-family: Verdana, Geneva, Tahoma, sans-serif;
|
||||
padding-left: 5px;
|
||||
padding-right: 5px;
|
||||
}
|
||||
|
||||
.buttonContainer {
|
||||
position: relative;
|
||||
width: 400px;
|
||||
display: flex;
|
||||
|
||||
justify-content: space-between;
|
||||
|
||||
}
|
||||
|
||||
Loading…
Reference in New Issue