mirror of
https://github.com/SillyTavern/SillyTavern.git
synced 2025-06-05 21:59:27 +02:00
Add support for FAL.AI as image gen provider
This commit is contained in:
@ -81,6 +81,7 @@ const sources = {
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huggingface: 'huggingface',
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nanogpt: 'nanogpt',
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bfl: 'bfl',
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falai: 'falai',
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};
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const initiators = {
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@ -1169,6 +1170,10 @@ async function onBflKeyClick() {
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return onApiKeyClick('BFL API Key:', SECRET_KEYS.BFL);
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}
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async function onFalaiKeyClick() {
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return onApiKeyClick('FALAI API Key:', SECRET_KEYS.FALAI);
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}
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function onBflUpsamplingInput() {
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extension_settings.sd.bfl_upsampling = !!$('#sd_bfl_upsampling').prop('checked');
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saveSettingsDebounced();
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@ -1707,6 +1712,9 @@ async function loadModels() {
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case sources.bfl:
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models = await loadBflModels();
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break;
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case sources.falai:
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models = await loadFalaiModels();
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break;
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}
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for (const model of models) {
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@ -1744,6 +1752,21 @@ async function loadBflModels() {
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];
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}
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async function loadFalaiModels() {
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$('#sd_falai_key').toggleClass('success', !!secret_state[SECRET_KEYS.FALAI]);
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const result = await fetch('/api/sd/falai/models', {
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method: 'POST',
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headers: getRequestHeaders(),
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});
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if (result.ok) {
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return await result.json();
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}
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return [];
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}
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async function loadPollinationsModels() {
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const result = await fetch('/api/sd/pollinations/models', {
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method: 'POST',
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@ -2081,6 +2104,9 @@ async function loadSchedulers() {
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case sources.bfl:
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schedulers = ['N/A'];
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break;
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case sources.falai:
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schedulers = ['N/A'];
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break;
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}
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for (const scheduler of schedulers) {
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@ -2735,6 +2761,9 @@ async function sendGenerationRequest(generationType, prompt, additionalNegativeP
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case sources.bfl:
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result = await generateBflImage(prefixedPrompt, signal);
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break;
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case sources.falai:
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result = await generateFalaiImage(prefixedPrompt, negativePrompt, signal);
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break;
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}
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if (!result.data) {
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@ -3496,6 +3525,39 @@ async function generateBflImage(prompt, signal) {
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}
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}
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/**
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* Generates an image using the FAL.AI API.
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* @param {string} prompt - The main instruction used to guide the image generation.
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* @param {string} negativePrompt - The negative prompt used to guide the image generation.
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* @param {AbortSignal} signal - An AbortSignal object that can be used to cancel the request.
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* @returns {Promise<{format: string, data: string}>} - A promise that resolves when the image generation and processing are complete.
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*/
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async function generateFalaiImage(prompt, negativePrompt, signal) {
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const result = await fetch('/api/sd/falai/generate', {
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method: 'POST',
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headers: getRequestHeaders(),
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signal: signal,
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body: JSON.stringify({
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prompt: prompt,
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negative_prompt: negativePrompt,
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model: extension_settings.sd.model,
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steps: clamp(extension_settings.sd.steps, 1, 50),
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guidance: clamp(extension_settings.sd.scale, 1.5, 5),
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width: clamp(extension_settings.sd.width, 256, 1440),
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height: clamp(extension_settings.sd.height, 256, 1440),
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seed: extension_settings.sd.seed >= 0 ? extension_settings.sd.seed : undefined,
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}),
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});
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if (result.ok) {
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const data = await result.json();
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return { format: 'jpg', data: data.image };
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} else {
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const text = await result.text();
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throw new Error(text);
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}
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}
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async function onComfyOpenWorkflowEditorClick() {
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let workflow = await (await fetch('/api/sd/comfy/workflow', {
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method: 'POST',
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@ -3782,6 +3844,8 @@ function isValidState() {
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return secret_state[SECRET_KEYS.NANOGPT];
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case sources.bfl:
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return secret_state[SECRET_KEYS.BFL];
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case sources.falai:
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return secret_state[SECRET_KEYS.FALAI];
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}
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}
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@ -4443,6 +4507,7 @@ jQuery(async () => {
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$('#sd_function_tool').on('input', onFunctionToolInput);
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$('#sd_bfl_key').on('click', onBflKeyClick);
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$('#sd_bfl_upsampling').on('input', onBflUpsamplingInput);
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$('#sd_falai_key').on('click', onFalaiKeyClick);
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if (!CSS.supports('field-sizing', 'content')) {
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$('.sd_settings .inline-drawer-toggle').on('click', function () {
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@ -52,6 +52,7 @@
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<option value="auto">Stable Diffusion Web UI (AUTOMATIC1111)</option>
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<option value="horde">Stable Horde</option>
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<option value="togetherai">TogetherAI</option>
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<option value="falai">FAL.AI</option>
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</select>
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<div data-sd-source="auto">
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<label for="sd_auto_url">SD Web UI URL</label>
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@ -256,6 +257,20 @@
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</label>
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</div>
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<div data-sd-source="falai">
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<div class="flex-container flexnowrap alignItemsBaseline marginBot5">
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<a href="https://fal.ai/dashboard" target="_blank" rel="noopener noreferrer">
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<strong data-i18n="API Key">API Key</strong>
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<i class="fa-solid fa-share-from-square"></i>
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</a>
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<span class="expander"></span>
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<div id="sd_falai_key" class="menu_button menu_button_icon">
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<i class="fa-fw fa-solid fa-key"></i>
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<span data-i18n="Click to set">Click to set</span>
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</div>
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</div>
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</div>
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<div class="flex-container">
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<div class="flex1">
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<label for="sd_model" data-i18n="Model">Model</label>
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@ -41,6 +41,7 @@ export const SECRET_KEYS = {
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GENERIC: 'api_key_generic',
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DEEPSEEK: 'api_key_deepseek',
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SERPER: 'api_key_serper',
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FALAI: 'api_key_falai',
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};
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const INPUT_MAP = {
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@ -50,6 +50,7 @@ export const SECRET_KEYS = {
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TAVILY: 'api_key_tavily',
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NANOGPT: 'api_key_nanogpt',
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BFL: 'api_key_bfl',
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FALAI: 'api_key_falai',
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GENERIC: 'api_key_generic',
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DEEPSEEK: 'api_key_deepseek',
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SERPER: 'api_key_serper',
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@ -1228,6 +1228,125 @@ bfl.post('/generate', jsonParser, async (request, response) => {
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}
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});
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const falai = express.Router();
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falai.post('/models', jsonParser, async (_request, response) => {
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try {
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const modelsUrl = new URL('https://fal.ai/api/models?categories=text-to-image');
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const result = await fetch(modelsUrl);
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if (!result.ok) {
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console.warn('FAL.AI returned an error.', result.status, result.statusText);
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throw new Error('FAL.AI request failed.');
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}
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const data = await result.json();
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if (!Array.isArray(data)) {
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console.warn('FAL.AI returned invalid data.');
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throw new Error('FAL.AI request failed.');
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}
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const models = data
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.filter(x => !x.title.toLowerCase().includes('inpainting') &&
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!x.title.toLowerCase().includes('control') &&
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!x.title.toLowerCase().includes('upscale'))
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.map(x => ({ value: x.modelUrl.split('fal-ai/')[1], text: x.title }));
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return response.send(models);
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} catch (error) {
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console.error(error);
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return response.sendStatus(500);
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}
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});
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falai.post('/generate', jsonParser, async (request, response) => {
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try {
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const key = readSecret(request.user.directories, SECRET_KEYS.FALAI);
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if (!key) {
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console.warn('FAL.AI key not found.');
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return response.sendStatus(400);
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}
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const requestBody = {
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prompt: request.body.prompt,
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image_size: { 'width': request.body.width, 'height': request.body.height },
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num_inference_steps: request.body.steps,
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seed: request.body.seed ?? null,
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guidance_scale: request.body.guidance,
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enable_safety_checker: false,
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};
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console.debug('FAL.AI request:', requestBody);
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const result = await fetch(`https://queue.fal.run/fal-ai/${request.body.model}`, {
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method: 'POST',
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body: JSON.stringify(requestBody),
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headers: {
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'Content-Type': 'application/json',
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'Authorization': `Key ${key}`,
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},
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});
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if (!result.ok) {
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console.warn('FAL.AI returned an error.');
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return response.sendStatus(500);
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}
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/** @type {any} */
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const taskData = await result.json();
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const { status_url } = taskData;
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const MAX_ATTEMPTS = 100;
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for (let i = 0; i < MAX_ATTEMPTS; i++) {
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await delay(2500);
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const statusResult = await fetch(status_url, {
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headers: {
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'Authorization': `Key ${key}`,
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},
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});
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if (!statusResult.ok) {
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const text = await statusResult.text();
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console.warn('FAL.AI returned an error.', text);
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return response.sendStatus(500);
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}
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/** @type {any} */
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const statusData = await statusResult.json();
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if (statusData?.status === 'IN_QUEUE' || statusData?.status === 'IN_PROGRESS') {
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continue;
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}
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if (statusData?.status === 'COMPLETED') {
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const resultFetch = await fetch(statusData?.response_url, {
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method: 'GET',
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headers: {
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'Authorization': `Key ${key}`,
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},
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});
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const resultData = await resultFetch.json();
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const imageFetch = await fetch(resultData?.images[0].url, {
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headers: {
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'Authorization': `Key ${key}`,
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},
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});
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const fetchData = await imageFetch.arrayBuffer();
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const image = Buffer.from(fetchData).toString('base64');
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return response.send({ image: image });
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}
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throw new Error('FAL.AI failed to generate image.', { cause: statusData });
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}
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} catch (error) {
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console.error(error);
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return response.sendStatus(500);
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}
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});
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router.use('/comfy', comfy);
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router.use('/together', together);
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router.use('/drawthings', drawthings);
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@ -1237,3 +1356,4 @@ router.use('/blockentropy', blockentropy);
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router.use('/huggingface', huggingface);
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router.use('/nanogpt', nanogpt);
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router.use('/bfl', bfl);
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router.use('/falai', falai);
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