tidyPurpleSheepREADME.md1 match
3Monitor any news form your inbox.
45
67Fork this val then configure:
aiImageGeneratormain.tsx28 matches
3import { createRoot } from "https://esm.sh/react-dom/client";
45function ImageGenerator() {
6const [imageUrl, setImageUrl] = useState<string | null>(null);
7const [prompt, setPrompt] = useState("");
8const [isLoading, setIsLoading] = useState(false);
9const [error, setError] = useState<string | null>(null);
1011const generateImage = async (e: React.FormEvent) => {
12e.preventDefault();
13setIsLoading(true);
17// Validate prompt
18if (!prompt.trim()) {
19throw new Error('Please enter a description for the image');
20}
2122// Use a more robust image generation endpoint
23const response = await fetch(`https://maxm-imggenurl.web.val.run/${encodeURIComponent(prompt)}`, {
24method: 'GET',
25headers: {
26'Accept': 'image/*'
27}
28});
30if (!response.ok) {
31const errorText = await response.text();
32throw new Error(errorText || 'Image generation failed');
33}
3435const blob = await response.blob();
36const url = URL.createObjectURL(blob);
37setImageUrl(url);
38} catch (err) {
39console.error('Image generation error:', err);
40setError(err instanceof Error ? err.message : "An unknown error occurred");
41} finally {
4546const resetGenerator = () => {
47setImageUrl(null);
48setPrompt("");
49setError(null);
52return (
53<div style={styles.container}>
54<h1 style={styles.title}>🎨 AI Image Generator</h1>
55{!imageUrl ? (
56<form onSubmit={generateImage} style={styles.form}>
57<input
58type="text"
59value={prompt}
60onChange={(e) => setPrompt(e.target.value)}
61placeholder="Describe the image you want to generate (e.g., 'A sunset over mountains')"
62style={styles.input}
63required
68style={styles.button}
69>
70{isLoading ? "Generating..." : "Generate Image"}
71</button>
72</form>
88)}
8990{imageUrl && (
91<div style={styles.imageContainer}>
92<img
93src={imageUrl}
94alt="Generated"
95style={styles.image}
96/>
97<a
98href={imageUrl}
99download="generated_image.png"
100style={styles.downloadButton}
101>
102Download Image
103</a>
104</div>
152marginBottom: '20px',
153},
154imageContainer: {
155display: 'flex',
156flexDirection: 'column',
158gap: '10px',
159},
160image: {
161maxWidth: '100%',
162borderRadius: '10px',
181<head>
182<meta charset="UTF-8">
183<title>AI Image Generator</title>
184<meta name="viewport" content="width=device-width, initial-scale=1">
185<script src="https://esm.town/v/std/catch"></script>
206import { createRoot } from "https://esm.sh/react-dom/client";
207208function ImageGenerator() {
209${ImageGenerator.toString()}
210}
211215const rootElement = document.getElementById("root");
216if (rootElement) {
217createRoot(rootElement).render(React.createElement(ImageGenerator));
218}
219}
sqliteExplorerAppREADME.md1 match
3View and interact with your Val Town SQLite data. It's based off Steve's excellent [SQLite Admin](https://www.val.town/v/stevekrouse/sqlite_admin?v=46) val, adding the ability to run SQLite queries directly in the interface. This new version has a revised UI and that's heavily inspired by [LibSQL Studio](https://github.com/invisal/libsql-studio) by [invisal](https://github.com/invisal). This is now more an SPA, with tables, queries and results showing up on the same page.
45
67## Install
55text: "@stevekrouse.com can't tell what happened, but I was using Townie for a thing and it inverted the reasoning and code outputs for whatever reason."
56},
57embed: { "$type": "app.bsky.embed.images#view", images: [Array] },
58replyCount: 1,
59repostCount: 0,
slothdaobotREADME.md1 match
131415
1617
farcasterKeyHookREADME.md2 matches
131415
1617
18
581right: 0;
582bottom: 0;
583background-image: url("data:image/png;base64,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");
584opacity: 0.1;
585z-index: 0;
fullWebsiteCheckermain.tsx1 match
227headers: {
228"User-Agent": userAgent,
229"Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8",
230"Accept-Language": "en-US,en;q=0.5",
231"Referer": "https://www.google.com/",
46transform: scaleX(1);
47transform-origin: center;
48background-image: linear-gradient(45deg, #ff6b6b, #feca57, #48dbfb, #ff9ff3);
49background-clip: text;
50background-size: 300% 300%;
5function App() {
6const [prompt, setPrompt] = useState("");
7const [imageData, setImageData] = useState("");
8const [loading, setLoading] = useState(false);
9const [error, setError] = useState("");
14setLoading(true);
15setError("");
16setImageData("");
17try {
18const response = await fetch("/generate", {
29}
30
31// Ensure we have a valid base64 image with data URI prefix
32const fullBase64Image = data.image.startsWith('data:image')
33? data.image
34: `data:image/png;base64,${data.image}`;
35
36setImageData(fullBase64Image);
37console.log("Image data received:", fullBase64Image.slice(0, 100) + "...");
38} catch (error) {
39console.error("Error generating image:", error);
40setError(error.message || "Failed to generate image");
41} finally {
42setLoading(false);
50return (
51<div className="container">
52<h1>Image Generation</h1>
53<form onSubmit={handleSubmit}>
54<input
56value={prompt}
57onChange={handleInputChange}
58placeholder="Describe the image you want to generate..."
59className="input"
60/>
61<button type="submit" className="submit-btn" disabled={loading}>
62{loading ? "Generating..." : "Generate Image"}
63</button>
64</form>
65{loading && <p className="loading">Generating image, please wait...</p>}
66{error && <p className="error">Error: {error}</p>}
67{imageData && (
68<div className="image-container">
69<h2>Generated Image:</h2>
70<img
71src={imageData}
72alt="Generated image"
73className="generated-image"
74onError={(e) => {
75console.error("Image failed to load", e);
76setError("Failed to render image");
77}}
78/>
91}
9293// Utility function to validate and adjust image dimensions
94function validateImageDimensions(width: number, height: number): {
95width: number,
96height: number,
137export default async function server(request: Request): Promise<Response> {
138const url = new URL(request.url);
139const imagePrompt = url.searchParams.get('image');
140
141// Parse width and height with advanced validation
148height: safeHeight,
149warnings
150} = validateImageDimensions(rawWidth, rawHeight);
151152if (url.pathname === "/generate" && request.method === "POST") {
164console.log("Received prompt:", prompt);
165166const togetherApiUrl = "https://api.together.xyz/v1/images/generations";
167console.log("Sending request to Together AI API:", togetherApiUrl);
168194console.log("Together AI API full response:", JSON.stringify(result, null, 2));
195196// Robust extraction of base64 image data
197let imageBase64;
198if (result.data && Array.isArray(result.data) && result.data.length > 0) {
199imageBase64 = result.data[0].b64_json || result.data[0];
200} else if (result.b64_json) {
201imageBase64 = result.b64_json;
202} else if (result.data && result.data.b64_json) {
203imageBase64 = result.data.b64_json;
204} else {
205console.error("Unexpected response structure:", result);
206throw new Error("No image found in API response");
207}
208209// Ensure imageBase64 is a string and trim any whitespace
210imageBase64 = (typeof imageBase64 === 'string' ? imageBase64 : JSON.stringify(imageBase64)).trim();
211212console.log("Extracted image base64 (first 100 chars):", imageBase64.slice(0, 100));
213214// Include warnings in the response if any
215return new Response(JSON.stringify({
216image: imageBase64,
217warnings: warnings.length > 0 ? warnings : undefined
218}), {
220});
221} catch (error) {
222console.error("Error generating image:", error.message);
223console.error("Full error details:", error);
224return new Response(JSON.stringify({ error: error.message || "Failed to generate image" }), {
225status: 500,
226headers: { "Content-Type": "application/json" },
229}
230231// Handle direct image generation from URL query
232if (imagePrompt) {
233const apiKey = Deno.env.get("TOGETHER_API_KEY");
234if (!apiKey) {
237238try {
239const togetherApiUrl = "https://api.together.xyz/v1/images/generations";
240const response = await fetch(togetherApiUrl, {
241method: "POST",
246body: JSON.stringify({
247model: "black-forest-labs/FLUX.1-schnell",
248prompt: imagePrompt,
249width: safeWidth,
250height: safeHeight,
260261const result = await response.json();
262let imageBase64;
263if (result.data && Array.isArray(result.data) && result.data.length > 0) {
264imageBase64 = result.data[0].b64_json || result.data[0];
265} else if (result.b64_json) {
266imageBase64 = result.b64_json;
267} else if (result.data && result.data.b64_json) {
268imageBase64 = result.data.b64_json;
269} else {
270throw new Error("No image found in API response");
271}
272273// Ensure imageBase64 is a string and trim any whitespace
274imageBase64 = (typeof imageBase64 === 'string' ? imageBase64 : JSON.stringify(imageBase64)).trim();
275276// If the request accepts HTML, return a full HTML page with the image
277if (request.headers.get('Accept')?.includes('text/html')) {
278return new Response(`
280<html>
281<head>
282<title>Generated Image</title>
283<style>
284body {
291font-family: Arial, sans-serif;
292}
293.image-container {
294text-align: center;
295}
306</head>
307<body>
308<div class="image-container">
309<img src="data:image/png;base64,${imageBase64}" alt="Generated image for: ${imagePrompt}" width="${safeWidth}" height="${safeHeight}">
310${warnings.length > 0 ? `
311<div class="warning">
312<p>⚠️ Image dimensions adjusted:</p>
313<ul>
314${warnings.map(warning => `<li>${warning}</li>`).join('')}
324}
325326// Otherwise, return the base64 image directly
327return new Response(imageBase64, {
328headers: {
329'Content-Type': 'image/png',
330'X-Image-Warnings': warnings.length > 0 ? JSON.stringify(warnings) : ''
331}
332});
345<meta charset="UTF-8">
346<meta name="viewport" content="width=device-width, initial-scale=1.0">
347<title>Image Generation</title>
348<style>${css}</style>
349</head>
408cursor: not-allowed;
409}
410.image-container {
411margin-top: 20px;
412}
413.generated-image {
414max-width: 100%;
415height: auto;