\n );\n}\n\nfunction App() {\n const [prompt, setPrompt] = useState(DEFAULT_PROMPT);\n const [imageUrl, setImageUrl] = useState(PLACEHOLDER_IMAGE);\n const [latency, setLatency] = useState(null);\n const [loading, setLoading] = useState(false);\n const [error, setError] = useState(\"\");\n\n const generateImage = async () => {\n setLoading(true);\n setError(\"\");\n try {\n const response = await fetch(\"/generate\", {\n method: \"POST\",\n headers: { \"Content-Type\": \"application/json\" },\n body: JSON.stringify({ prompt }),\n });\n const data = await response.json();\n if (!response.ok) throw new Error(data.error || \"Failed to generate image\");\n setLatency(data.latency);\n setImageUrl(data.imageUrl);\n setError(\"\"); // Clear any previous errors\n } catch (err) {\n setError(err.message);\n console.error(err);\n } finally {\n setLoading(false);\n }\n };\n\n return (\n <>\n \n

AI Image Generator

\n setPrompt(e.target.value)}\n placeholder={DEFAULT_PROMPT}\n className=\"prompt-input\"\n />\n

\n \n {error &&

{error}

}\n

\n {latency !== null && (\n

Inference time (doesn't include network): {latency.toFixed(2)} ms

\n )}\n {loading\n ? \n : $\"Generated$ }\n

\n \n View Source\n \n

\n Powered by\n \n \n \n

\n \n );\n}\n\nfunction client() {\n createRoot(document.getElementById(\"root\")).render();\n}\n\nif (typeof document !== \"undefined\") {\n client();\n}\n\nasync function checkRateLimit(clientIP: string): Promise {\n const now = Date.now();\n const key = `xratelimit_${clientIP}`;\n\n let clientData = await blob.getJSON(key);\n if (!clientData) {\n clientData = { count: 1, firstRequest: now };\n } else {\n if (now - clientData.firstRequest > RATE_LIMIT_WINDOW) {\n // Reset if the window has passed\n clientData.count = 1;\n clientData.firstRequest = now;\n } else {\n clientData.count++;\n }\n }\n console.log(clientData);\n await blob.setJSON(key, clientData);\n\n return clientData.count <= RATE_LIMIT;\n}\n\nasync function server(request: Request): Promise {\n if (request.method === \"POST\" && new URL(request.url).pathname === \"/generate\") {\n const clientIP = (request.headers.get(\"x-forwarded-for\") || \"unknown\").split(\",\")[0].trim();\n const isAllowed = await checkRateLimit(clientIP);\n if (!isAllowed) {\n return new Response(JSON.stringify({ error: \"Rate limit exceeded. Please try again in a couple of minutes.\" }), {\n status: 429,\n headers: { \"Content-Type\": \"application/json\" },\n });\n }\n\n const { prompt } = await request.json();\n try {\n const result = await fal.run(\"fal-ai/flux/schnell\", {\n input: {\n prompt,\n image_size: \"landscape_4_3\",\n num_inference_steps: 4,\n num_images: 1,\n enable_safety_checker: true,\n sync_mode: true,\n },\n });\n return new Response(\n JSON.stringify({ imageUrl: result.images[0].url, latency: result.timings.inference * 1000 }),\n {\n headers: { \"Content-Type\": \"application/json\" },\n },\n );\n } catch (error) {\n return new Response(JSON.stringify({ error: \"Failed to generate image\" }), {\n status: 500,\n headers: { \"Content-Type\": \"application/json\" },\n });\n }\n }\n\n return new Response(\n `\n \n \n \n \n \n AI Image Generator\n \n \n \n

\n \n \n \n `,\n {\n headers: { \"Content-Type\": \"text/html\" },\n },\n );\n}\n\nconst css = `\n body {\n font-family: Arial, sans-serif;\n line-height: 1.6;\n margin: 0;\n padding: 20px;\n background-color: #1a1a1a;\n color: #fff;\n overflow-x: hidden;\n min-height: 100vh;\n }\n .background {\n position: fixed;\n top: 0;\n left: 0;\n width: 100%;\n height: 100%;\n z-index: -1;\n opacity: 0.2;\n pointer-events: none;\n }\n .container {\n max-width: 800px;\n margin: 0 auto;\n background-color: rgba(255, 255, 255, 0.15);\n padding: 30px;\n border-radius: 5px;\n backdrop-filter: blur(5px);\n }\n .title {\n text-align: center;\n color: #fff;\n font-size: 2.5em;\n margin-bottom: 30px;\n }\n .input-container {\n position: relative;\n margin-bottom: 20px;\n }\n .prompt-input {\n width: 100%;\n padding: 15px;\n border: 2px solid #FFFF00;\n border-radius: 25px;\n background-color: rgba(255, 255, 255, 0.2);\n color: #fff;\n font-size: 1em;\n transition: all 0.3s ease;\n }\n .prompt-input:focus {\n outline: none;\n background-color: rgba(255, 255, 255, 0.3);\n }\n .generate-btn {\n display: block;\n width: 100%;\n padding: 15px;\n background-color: #FFFF00;\n color: #000;\n border: none;\n border-radius: 25px;\n cursor: pointer;\n transition: all 0.3s ease;\n font-size: 1em;\n text-transform: uppercase;\n letter-spacing: 1px;\n font-weight: bold;\n }\n .generate-btn:hover {\n background-color: #FFFF99;\n }\n .generate-btn:disabled {\n background-color: #666666;\n cursor: not-allowed;\n }\n .error {\n color: #FF6666;\n text-align: center;\n }\n .image-container {\n margin-top: 20px;\n text-align: center;\n background-color: rgba(0, 0, 0, 0.2);\n padding: 20px;\n border-radius: 10px;\n }\n .generated-image {\n max-width: 100%;\n height: auto;\n }\n .latency {\n font-size: 14px;\n color: #fff;\n margin-bottom: 10px;\n }\n .footer {\n display: flex;\n justify-content: space-between;\n align-items: center;\n margin-top: 20px;\n font-size: 0.9em;\n }\n .source-link a {\n color: #fff;\n text-decoration: none;\n transition: all 0.3s ease;\n }\n .source-link a:hover {\n text-decoration: underline;\n }\n .powered-by {\n display: flex;\n align-items: center;\n gap: 10px;\n color: #ccc;\n }\n .fal-logo {\n height: 30px;\n transition: transform 0.3s ease;\n }\n .fal-logo:hover {\n transform: scale(1.1);\n }\n .loading-spinner {\n display: flex;\n justify-content: center;\n align-items: center;\n height: 200px;\n }\n .spinner {\n border: 4px solid rgba(255, 255, 255, 0.3);\n border-radius: 50%;\n border-top: 4px solid #FFFF00;\n width: 40px;\n height: 40px;\n animation: spin 1s linear infinite;\n }\n @keyframes spin {\n 0% { transform: rotate(0deg); }\n 100% { transform: rotate(360deg); }\n }\n @media (max-width: 600px) {\n .container {\n padding: 15px;\n }\n .title {\n font-size: 2em;\n }\n .prompt-input,\n .generate-btn {\n padding: 12px;\n font-size: 0.9em;\n }\n .footer {\n flex-direction: column;\n gap: 10px;\n }\n .powered-by {\n order: -1;\n }\n .fal-logo {\n height: 25px;\n }\n }\n`;\n\nexport default server;","deleted","label","children",[],[155],"files",[153],"counts",{"_175":32,"_176":137,"_177":32,"_178":179},"pulls","branches","forks","envVars",{"_180":32,"_181":32},"count","emptyCount","contents",[184],{"_102":154,"_95":155,"_156":114,"_157":-5,"_158":138,"_159":137,"_160":116,"_104":185,"_99":32,"_162":163,"_164":165,"_166":22,"_167":-5,"_98":186},["D",1725755572375],[155],"file","upstreamProject",{"_102":145,"_95":96,"_110":-5,"_111":-5,"_108":109,"_23":190},{"_93":191,"_130":192},"isidentical","https://img.clerk.com/eyJ0eXBlIjoicHJveHkiLCJzcmMiOiJodHRwczovL2F2YXRhcnMuZ2l0aHVidXNlcmNvbnRlbnQuY29tL3UvNDczNTg5MTM/dj00IiwicyI6ImtBaTRva25BQXh2QXNWK3g0WjRTU3A4dmZzUDNOWnBEakN5bWkzNGpoUTAifQ","upstreamBranch",{"_102":141,"_104":195,"_196":197,"_95":43,"_139":145,"_99":198,"_140":-5,"_142":-5,"_199":200,"_106":-5,"_150":22,"_108":109,"_149":191,"_16":147,"_148":96},["D",1746130906448],"updatedAt",["D",1724814978065],55,"lockfileKey","1746278220817-esm.town_v_isidentical_fluxImageGenerator@55-main","emptyEnvVars","isNew","flags",[],"routes/_app.x.$handle.$name._index",{"_93":94,"_95":96,"_97":-7,"_99":-7,"_100":207,"_182":212,"_215":-7,"_216":217,"_220":-5,"_171":221,"_225":226,"_227":137,"_228":198},{"_102":103,"_95":96,"_104":208,"_106":-5,"_107":22,"_108":109,"_110":-5,"_111":-5,"_14":112,"_113":114,"_115":116,"_117":-5,"_118":32,"_16":119,"_120":121,"_122":121,"_123":124,"_125":124,"_126":124,"_127":121,"_128":121,"_23":209,"_132":210,"_135":211,"_150":22},["D",1746131535639],{"_93":94,"_130":131},{"_93":94,"_134":131,"_14":112},{"_99":137,"_95":43,"_102":138,"_139":103,"_140":141,"_142":32,"_143":109,"_144":145,"_146":147,"_148":96,"_149":94},[213],{"_102":154,"_95":155,"_156":114,"_157":-5,"_158":138,"_159":137,"_160":116,"_104":185,"_99":32,"_162":163,"_164":165,"_166":22,"_167":-5,"_98":214},[155],"readme","upstream",{"_102":141,"_104":218,"_196":219,"_95":43,"_139":145,"_99":198,"_140":-5,"_142":-5,"_199":200,"_106":-5,"_150":22,"_108":109,"_149":191,"_16":147,"_148":96},["D",1746130906448],["D",1724814978065],"pull",[222],{"_102":154,"_95":155,"_156":114,"_157":-5,"_158":138,"_159":137,"_160":116,"_104":161,"_99":32,"_162":163,"_164":165,"_166":22,"_167":-5,"_168":223,"_98":224},[],[155],"previews",[222],"ahead","behind","actionData","errors"]

danyslicer

fluxImageGenerator