consistency

.gitignore

@@ -1,3 +1,3 @@
 index.js
 node_modules
-sdxl.gen.json
+/sdxl.gen.json

src/index.ts

@@ -13,7 +13,7 @@ program
     .description('generate an image with sdxl')
     .argument('[config]', 'path to the config json', './sdxl.gen.json')
     .option('--init', 'create a default sdxl.gen.json')
-    .option('--append [where]', 'saves generated url to a text file')
+    .option('--append [where]', 'saves generated url to a text file', './generated.txt')
     .option('--queue [amount]', 'queues jobs without waiting for them')
     .action(async (config, flags) => {
         if (flags.init) {
@@ -37,11 +37,10 @@ program
                 for (let i = 0; i < queue; i++) {
                     console.log(`Fetching ${i + 1}/${queue}...`);
                     const job = await fetchProdia(json);
+                    const url = `https://images.prodia.xyz/${job.job}.png`;
                     if (flags.append)
-                        await fs.appendFile(
+                        await fs.appendFile(flags.append, url + '\n');
-                            flags.append,
+                    console.log(url);
-                            `https://images.prodia.xyz/${job.job}.png\n`
-                        );
                 }
                 console.log('Done!');
             } else {

src/prodia.ts

@@ -1,4 +1,5 @@
 import fetch from 'node-fetch';
+import * as fs from 'fs/promises';
 
 type ProdiaParams = {
     model: string;
@@ -11,6 +12,12 @@ type ProdiaParams = {
     sampler: string;
     width: number;
     height: number;
+
+    // transform params
+    denoising_strength: number;
+    upscale: boolean;
+    input_image?: string;
+    imageData?: string;
 };
 
 type ProdiaResponse = {
@@ -30,12 +37,20 @@ export const defaultProdiaParams: ProdiaParams = {
     sampler: 'DPM++ 2M Karras',
     width: 1024,
     height: 1024,
+
+    denoising_strength: 0.7,
+    upscale: false,
 };
 
 export async function fetchProdia(
     params: Partial<ProdiaParams>,
     endpoint = 'sdxl/generate'
 ) {
+    if(params.input_image){
+        const data = await fs.readFile(params.input_image);
+        params.imageData = data.toString('base64');
+        delete params.input_image;
+    }
     const resp = await fetch(`https://api.prodia.com/v1/${endpoint}`, {
         method: 'POST',
         headers: {