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Generate image using Step1X-Edit v1.2 model with thinking and reflection capabilities.
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/stepx-edit2", {
input: {
prompt: "make head band red",
image_url: "https://storage.googleapis.com/falserverless/example_inputs/girl_2.png"
},
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/stepx-edit2", {
input: {
prompt: "make head band red",
image_url: "https://storage.googleapis.com/falserverless/example_inputs/girl_2.png"
},
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/stepx-edit2", {
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/stepx-edit2", {
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.
prompt string* requiredThe prompt to generate an image from.
image_url string* requiredThe image URL to generate an image from. Needs to match the dimensions of the mask.
negative_prompt stringThe negative prompt to use. Use it to address details that you don't want
in the image. This could be colors, objects, scenery and even the small details
(e.g. moustache, blurry, low resolution). Default value: ""
seed integerThe same seed and the same prompt given to the same version of the model will output the same image every time.
guidance_scale floatThe true CFG scale. Controls how closely the model follows the prompt. Default value: 6
num_inference_steps integerThe number of inference steps to perform. Recommended: 50. Default value: 50
enable_thinking_mode booleanEnable thinking mode. Uses multimodal language model knowledge to interpret abstract editing instructions. Default value: true
enable_reflection_mode booleanEnable reflection mode. Reviews outputs, corrects unintended changes, and determines when editing is complete. Default value: true
sync_mode booleanIf True, the media will be returned as a data URI and the output data won't be available in the request history.
enable_safety_checker booleanIf set to true, the safety checker will be enabled. Default value: true
output_format OutputFormatEnumThe format of the generated image. Default value: "jpeg"
Possible enum values: jpeg, png
{
"prompt": "make head band red",
"image_url": "https://storage.googleapis.com/falserverless/example_inputs/girl_2.png",
"negative_prompt": "",
"guidance_scale": 6,
"num_inference_steps": 50,
"enable_thinking_mode": true,
"enable_reflection_mode": true,
"enable_safety_checker": true,
"output_format": "jpeg"
}The generated images
seed integer* requiredSeed of the generated Image. It will be the same value of the one passed in the input or the randomly generated that was used in case none was passed.
Whether the generated images contain NSFW concepts.
prompt string* requiredThe prompt used for generating the image.
reformat_prompt stringThe model's interpretation of your instruction (only available when thinking mode is enabled).
Reasoning process details (only available when thinking mode is enabled).
Reflection analysis (only available when reflection mode is enabled).
{
"images": [
{
"url": "https://v3.fal.media/files/kangaroo/kFPr5gC_Rr9JZbTTakEMd.jpeg",
"height": 1024,
"width": 672,
"content_type": "image/jpeg"
}
],
"prompt": ""
}url string* requiredwidth integer* requiredheight integer* requiredcontent_type stringDefault value: "image/jpeg"