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Vals using @fal-ai/serverless-client
Description from the NPM package:
The fal serverless JS/TS client
svd
@fal
script
Stable Video Diffusion link to val - https://www.val.town/v/fal/svd import * as fal from "@fal-ai/serverless-client";
const result = await fal.subscribe("fal-ai/fast-svd", {
input: {
image_url: "https://storage.googleapis.com/falserverless/model_tests/svd/rocket.png"
},
logs: true,
onQueueUpdate: (update) => {
if (update.status === "IN_PROGRESS") {
update.logs.map((log) => log.message).forEach(console.log);
}
},
}); https://www.fal.ai/models/svd/playground
creative_upscaler
@fal
script
Creative Upscaler link to val - https://www.val.town/v/fal/creative_upscaler Usage const upscaledImage = @fal.creative_upscaler("an owl", "https://storage.googleapis.com/falserverless/model_tests/upscale/owl.png") Usage import fal from "npm:@fal-ai/serverless-client";
const result = await fal.subscribe("fal-ai/creative-upscaler", {
input: {
prompt: "an owl",
image_url: "https://storage.googleapis.com/falserverless/model_tests/upscale/owl.png",
},
logs: true,
onQueueUpdate: (update) => {
if (update.status === "IN_PROGRESS") {
update.logs.map((log) => log.message).forEach(console.log);
}
},
}); https://www.fal.ai/models/creative-upscaler
sdxl
@fal
script
SDXL (fastest) https://www.fal.ai/models/stable-diffusion-xl link to val - https://www.val.town/v/fal/sdxl import * as fal from "npm:@fal-ai/serverless-client";
const result = await fal.subscribe("fal-ai/fast-sdxl", {
input: {
prompt: "photo of a rhino dressed suit and tie sitting at a table in a bar with a bar stools, award winning photography, Elke vogelsang"
},
logs: true,
onQueueUpdate: (update) => {
if (update.status === "IN_PROGRESS") {
update.logs.map((log) => log.message).forEach(console.log);
}
},
});
fal_sdxl
@turbo1912
script
fal/sdxl This val is an example usage sdxl with fal.ai's javascript client. https://www.fal.ai/models/stable-diffusion-xl The client offers a way for you to subscribe to queue updates. This is useful if you want to get notified when a function is done running, or if you want to get the logs as they are being generated. import fal from "npm:@fal-ai/serverless-client";
const result = await fal.subscribe(FUNCTION_ID, {
input: {
seed: 176400,
},
pollInterval: 5000,
logs: true,
onQueueUpdate: (update) => {
console.log(update.status);
if (update.status === "IN_PROGRESS") {
update.logs.map((log) => log.message).forEach(console.log);
}
},
});
console.log(result.url); The onQueueUpdate callback will be called every time the queue status changes. The update object contains the queue status data as documented on the status types section .