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This model is no longer supported.
This model is no longer supported.
Generate Ccsr
The client provides a convenient way to interact with the model API.
npm install --save @fal-ai/clientThe @fal-ai/serverless-client package has been deprecated in favor of @fal-ai/client. Install the new package and update your imports — see client setup.
Set FAL_KEY as an environment variable in your runtime.
export FAL_KEY="YOUR_API_KEY"The client API handles the API submit protocol. It will handle the request status updates and return the result when the request is completed.
import { fal } from "@fal-ai/client";
const result = await fal.subscribe("fal-ai/ccsr", {
input: {
image_url: "https://storage.googleapis.com/falserverless/gallery/blue-bird.jpeg"
},
logs: true,
onQueueUpdate: (update) => {
if (update.status === "IN_PROGRESS") {
update.logs.map((log) => log.message).forEach(console.log);
}
},
});
console.log(result.data);
console.log(result.requestId);The API uses an API Key for authentication. It is recommended you set the FAL_KEY environment variable in your runtime when possible.
import { fal } from "@fal-ai/client";
fal.config({
credentials: "YOUR_FAL_KEY"
});When running code on the client-side (e.g. in a browser, mobile app or GUI applications), make sure to not expose your FAL_KEY. Instead, use a server-side proxy to make requests to the API. For more information, check out our server-side integration guide.
The client API provides a convenient way to submit requests to the model.
import { fal } from "@fal-ai/client";
const { request_id } = await fal.queue.submit("fal-ai/ccsr", {
input: {
image_url: "https://storage.googleapis.com/falserverless/gallery/blue-bird.jpeg"
},
webhookUrl: "https://optional.webhook.url/for/results",
});You can fetch the status of a request to check if it is completed or still in progress.
import { fal } from "@fal-ai/client";
const status = await fal.queue.status("fal-ai/ccsr", {
requestId: "764cabcf-b745-4b3e-ae38-1200304cf45b",
logs: true,
});Once the request is completed, you can fetch the result. See the Output Schema for the expected result format.
import { fal } from "@fal-ai/client";
const result = await fal.queue.result("fal-ai/ccsr", {
requestId: "764cabcf-b745-4b3e-ae38-1200304cf45b"
});
console.log(result.data);
console.log(result.requestId);Some attributes in the API accept file URLs as input. Whenever that's the case you can pass your own URL or a Base64 data URI.
You can pass a Base64 data URI as a file input. The API will handle the file decoding for you. Keep in mind that for large files, this alternative although convenient can impact the request performance.
You can also pass your own URLs as long as they are publicly accessible. Be aware that some hosts might block cross-site requests, rate-limit, or consider the request as a bot.
We provide a convenient file storage that allows you to upload files and use them in your requests. You can upload files using the client API and use the returned URL in your requests.
import { fal } from "@fal-ai/client";
const file = new File(["Hello, World!"], "hello.txt", { type: "text/plain" });
const url = await fal.storage.upload(file);The client will auto-upload the file for you if you pass a binary object (e.g. File, Data).
Read more about file handling in our file upload guide.
image_url string* requiredThe URL or data URI of the image to upscale.
scale floatThe scale of the output image. The higher the scale, the bigger the output image will be. Default value: 2
tile_diffusion TileDiffusionEnumIf specified, a patch-based sampling strategy will be used for sampling. Default value: "none"
Possible enum values: none, mix, gaussian
tile_diffusion_size integerSize of patch. Default value: 1024
tile_diffusion_stride integerStride of sliding patch. Default value: 512
tile_vae booleanIf specified, a patch-based sampling strategy will be used for VAE decoding.
tile_vae_decoder_size integerSize of VAE patch. Default value: 226
tile_vae_encoder_size integerSize of latent image Default value: 1024
steps integerThe number of steps to run the model for. The higher the number the better the quality and longer it will take to generate. Default value: 50
t_max floatThe ending point of uniform sampling strategy. Default value: 0.6667
t_min floatThe starting point of uniform sampling strategy. Default value: 0.3333
color_fix_type ColorFixTypeEnumType of color correction for samples. Default value: "adain"
Possible enum values: none, wavelet, adain
seed integerSeed for reproducibility. Different seeds will make slightly different results.
{
"image_url": "https://storage.googleapis.com/falserverless/gallery/blue-bird.jpeg",
"scale": 2,
"tile_diffusion": "none",
"tile_diffusion_size": 1024,
"tile_diffusion_stride": 512,
"tile_vae_decoder_size": 226,
"tile_vae_encoder_size": 1024,
"steps": 50,
"t_max": 0.6667,
"t_min": 0.3333,
"color_fix_type": "adain"
}The generated image file info.
seed integer* requiredThe seed used for the generation.
{
"image": {
"url": "https://v3b.fal.media/files/b/0a986463/mgXaFOmEboE9P5jqKNgjJ_8303468d318840d5a2f70ad10940bf58.png"
}
}url string* requiredThe URL where the file can be downloaded from.
content_type stringThe mime type of the file.
file_name stringThe name of the file. It will be auto-generated if not provided.
file_size integerThe size of the file in bytes.
width integerThe width of the image in pixels.
height integerThe height of the image in pixels.