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2024-11-21 15:53:17 +01:00 · 2022-08-24 01:58:18 +05:30 · 2022-08-24 01:58:18 +05:30 · 4fbd3479f3
commit 4fbd3479f3
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--- a/.gitignore
+++ b/.gitignore
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+__pycache__
--- a/21
+++ b/21
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+MIT License
+
+Copyright (c) 2022 cmdr2
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
--- a/README.md
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+A simple browser UI for generating images from text prompts, using [Stable Diffusion](https://replicate.com/stability-ai/stable-diffusion). Designed for running locally on your computer.
+
+This project runs Stable Diffusion in a docker container behind the scenes, using Stable Diffusion's official Docker image on replicate.com.
+
+![Screenshot of tool](shot1.jpeg?raw=true)
+
+# System Requirements
+1. Requires `docker` and `python3.6` (or higher).
+2. Linux or Windows 11 (with WSL) or macOS. Basically if your system can run [Stable Diffusion](https://replicate.com/stability-ai/stable-diffusion).
+
+# Installation
+1. Download [Quick UI](https://github.com/cmdr2/stable-diffusion-ui/archive/refs/heads/main.zip)
+2. Unzip: `unzip main.zip`
+3. Enter: `cd stable-diffusion-ui`
+4. Install dependencies: `pip install fastapi uvicorn` (this is the framework and server used by QuickUI)
+5. Run: `./server.sh`
+6. Open `http://localhost:8000` in your browser
+
+# Usage
+1. Open `http://localhost:8000` in your browser
+2. Enter a text prompt, like `a photograph of an astronaut riding a horse` in the textbox.
+3. Press `Make Image`. This will take a while, depending on your system's processing power.
+4. See the image generated using your prompt. If there's an error, the status message at the top will show 'error' in red.
+
+# Bugs reports and code contributions welcome
+This was built in a few hours for fun. So if there are any problems, please feel free to file an issue.
+
+Also, if you have any code contributions, please feel to submit a pull request.
--- a/ding.mp3
+++ b/ding.mp3
--- a/index.html
+++ b/index.html
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+<!DOCTYPE html>
+<html>
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <style>
+    body {
+        font-family: Arial, Helvetica, sans-serif;
+        font-size: 11pt;
+    }
+    #prompt {
+        width: 50vw;
+        height: 50pt;
+    }
+    @media screen and (max-width: 600px) {
+        #prompt {
+            width: 95%;
+        }
+    }
+    #image {
+        width: 512px;
+        height: 512px;
+    }
+    #footer {
+        margin-top: 5px;
+        padding-top: 5px;
+        font-size: small;
+    }
+    </style>
+</html>
+<body>
+    <h3>Stable Diffusion - Quick UI</h3>
+
+    <div id="status">Server status: <span id="serverStatus">checking..</span> | Request status: <span id="reqStatus">n/a</span></div>
+
+    <br/>
+
+    <b>Prompt:</b><br/>
+    <textarea id="prompt">a photograph of an astronaut riding a horse</textarea><br/>
+
+    <button id="makeImage">Make Image</button> <br/><br/>
+
+    <img id="image" />
+
+    <div id="footer">
+        <p>Please feel free to <a href="mailto:sd@cmdr2.org">email me</a> if you have any problems or suggestions in using this interface.</p>
+        <p><b>Disclaimer:</b> I am not responsible for any images generated using this interface.</p>
+    </div>
+</body>
+
+<script>
+const HEALTH_PING_INTERVAL = 5 // seconds
+
+function setStatus(statusType, msg, msgType) {
+    let el = ''
+
+    if (statusType === 'server') {
+        el = '#serverStatus'
+    } else if (statusType === 'request') {
+        el = '#reqStatus'
+    }
+
+    if (msgType == 'error') {
+        msg = '<span style="color: red">' + msg + '<span>'
+    } else if (msgType == 'success') {
+        msg = '<span style="color: green">' + msg + '<span>'
+    }
+
+    if (el) {
+        document.querySelector(el).innerHTML = msg
+    }
+}
+
+function playSound() {
+    const audio = new Audio('/ding.mp3')
+    audio.play()
+}
+
+async function healthCheck() {
+    try {
+        let res = await fetch('/ping')
+        res = await res.json()
+
+        if (res[0] == 'OK') {
+            setStatus('server', 'online', 'success')
+        } else {
+            setStatus('server', 'offline', 'error')
+        }
+    } catch (e) {
+        setStatus('server', 'offline', 'error')
+    }
+}
+
+async function makeImage() {
+    setStatus('request', 'fetching..')
+
+    let btn = document.querySelector('#makeImage')
+    btn.innerHTML = 'Processing..'
+    btn.disabled = true;
+
+    let prompt = document.querySelector('#prompt').value
+    let res = ''
+
+    try {
+        res = await fetch('/image', {
+            method: 'POST',
+            headers: {
+                'Content-Type': 'application/json'
+            },
+            body: JSON.stringify({
+                prompt: prompt,
+                width: 512,
+                height: 512
+            })
+        })
+        res = await res.json()
+    } catch (e) {
+        console.log('request error', e)
+        setStatus('request', 'error', 'error')
+    }
+    
+    btn.innerHTML = 'Make Image'
+    btn.disabled = false;
+
+    playSound()
+
+    if (!res) {
+        return
+    }
+
+    let imgBody = ''
+
+    try {
+        imgBody = res.output[0]
+    } catch (e) {
+        console.log(imgBody)
+        setStatus('request', 'invalid image', 'error')
+        return
+    }
+
+    let img = document.querySelector('#image')
+    img.src = imgBody
+
+    setStatus('request', 'done', 'success')
+}
+
+document.querySelector('#makeImage').addEventListener('click', makeImage)
+
+setInterval(healthCheck, HEALTH_PING_INTERVAL * 1000)
+</script>
+
+</html>
--- a/main.py
+++ b/main.py
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+from fastapi import FastAPI
+from starlette.responses import FileResponse
+from pydantic import BaseModel
+
+import requests
+
+LOCAL_SERVER_URL = 'http://localhost:5000'
+PREDICT_URL = LOCAL_SERVER_URL + '/predictions'
+
+app = FastAPI()
+
+class ImageRequest(BaseModel):
+    prompt: str
+    width: int = 512
+    height: int = 512
+
+@app.get('/')
+def read_root():
+    return FileResponse('index.html')
+
+@app.get('/ping')
+async def ping():
+    try:
+        requests.get(LOCAL_SERVER_URL)
+        return {'OK'}
+    except:
+        return {'ERROR'}
+
+@app.post('/image')
+async def image(req : ImageRequest):
+    res = requests.post(PREDICT_URL, json={
+        "input": {
+            "prompt": req.prompt,
+            "width": str(req.width),
+            "height": str(req.height),
+        }
+    })
+    return res.json()
+
+@app.get('/ding.mp3')
+def read_root():
+    return FileResponse('ding.mp3')
--- a/server.sh
+++ b/server.sh
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+#!/bin/bash
+
+IMAGE_NAME="r8.im/stability-ai/stable-diffusion@sha256:06eb78b36068500c616a7f33c15e6fa40404f8e14b5bfad57ebe0c7fe0f6bdf1"
+
+docker run --name sd -d -p 5000:5000 --gpus all $IMAGE_NAME
+
+uvicorn main:app --reload
--- a/shot1.jpeg
+++ b/shot1.jpeg