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42 lines
1.6 KiB
JavaScript
42 lines
1.6 KiB
JavaScript
// Fal.ai — async submit + queue polling
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import { sleep, nowSec, sizeToAspectRatio, POLL_INTERVAL_MS, POLL_TIMEOUT_MS } from "./_base.js";
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const BASE_URL = "https://queue.fal.run";
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export default {
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async: true,
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buildUrl: (model) => `${BASE_URL}/${model}`,
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buildHeaders: (creds) => {
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const key = creds?.apiKey || creds?.accessToken;
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return { "Content-Type": "application/json", "Authorization": `Key ${key}` };
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},
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buildBody: (_model, body) => {
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const req = { prompt: body.prompt, num_images: body.n || 1 };
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if (body.size) req.image_size = sizeToAspectRatio(body.size);
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if (body.image) req.image_url = body.image;
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return req;
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},
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async parseResponse(response, { headers }) {
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const { status_url, response_url } = await response.json();
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const deadline = Date.now() + POLL_TIMEOUT_MS;
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while (Date.now() < deadline) {
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await sleep(POLL_INTERVAL_MS);
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const r = await fetch(status_url, { headers });
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if (!r.ok) throw new Error(`Fal status ${r.status}`);
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const s = await r.json();
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if (s.status === "COMPLETED") {
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const fr = await fetch(response_url, { headers });
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return await fr.json();
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}
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if (s.status === "FAILED") throw new Error(s.error || "Fal generation failed");
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}
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throw new Error("Fal polling timeout");
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},
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normalize: (responseBody) => {
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const images = Array.isArray(responseBody.images)
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? responseBody.images
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: (responseBody.image ? [responseBody.image] : []);
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return { created: nowSec(), data: images.map((img) => ({ url: img.url || img })) };
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},
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};
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