87 lines
1.8 KiB
TypeScript
87 lines
1.8 KiB
TypeScript
import * as fal from '@fal-ai/serverless-client';
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// This is a simple example of how to use the fal-js SDK to execute a workflow.
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const result = fal.subscribe('fal-ai/fast-sdxl', {
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input: getWorkflow({}),
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logs: true,
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onQueueUpdate: (update) => {
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if (update.status === 'IN_PROGRESS') {
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update.logs.map((log) => log.message).forEach(console.log);
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}
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},
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});
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// This workflow is generated with ComfyUI-fal
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const WORKFLOW = {
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prompt: {
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'3': {
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inputs: {
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seed: 156680208700286,
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steps: 20,
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cfg: 8,
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sampler_name: 'euler',
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scheduler: 'normal',
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denoise: 1,
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model: ['4', 0],
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positive: ['6', 0],
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negative: ['7', 0],
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latent_image: ['5', 0],
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},
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class_type: 'KSampler',
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},
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'4': {
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inputs: {
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ckpt_name: 'v1-5-pruned-emaonly.ckpt',
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},
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class_type: 'CheckpointLoaderSimple',
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},
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'5': {
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inputs: {
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width: 512,
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height: 512,
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batch_size: 1,
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},
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class_type: 'EmptyLatentImage',
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},
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'6': {
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inputs: {
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clip: ['4', 1],
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},
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class_type: 'CLIPTextEncode',
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},
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'7': {
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inputs: {
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clip: ['4', 1],
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},
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class_type: 'CLIPTextEncode',
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},
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'8': {
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inputs: {
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samples: ['3', 0],
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vae: ['4', 2],
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},
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class_type: 'VAEDecode',
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},
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'9': {
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inputs: {
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filename_prefix: 'ComfyUI',
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images: ['8', 0],
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},
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class_type: 'SaveImage',
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},
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},
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extra_data: {},
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fal_inputs_dev_info: {},
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fal_inputs: {},
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};
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function getWorkflow(object: any) {
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let newWorkflow = JSON.parse(JSON.stringify(WORKFLOW));
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newWorkflow.fal_inputs = {
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...newWorkflow.fal_inputs,
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...object,
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};
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return newWorkflow;
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}
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