Changes per PR Review

Author: sergio-eliot-rodriguez

components/leonardo_ai/README.md

@@ -2,15 +2,6 @@
 
 [Leonardo AI](https://leonardo.ai) is an AI-powered image generation platform that allows you to create stunning images, videos, and 3D models using advanced machine learning models.
 
-## Authentication
-
-To use this component, you'll need to:
-
-1. Sign up for a Leonardo AI account at [leonardo.ai](https://leonardo.ai)
-2. Navigate to the API section in your account settings
-3. Create an API key
-4. Use this API key when connecting the Leonardo AI app in Pipedream
-
 ## Actions
 
 ### Generate Image
@@ -42,11 +33,6 @@ Creates unzoom variations of existing images, expanding the scene beyond the ori
 ### Upload Image
 Uploads images to Leonardo AI for use in generations and variations.
 
-**Key Features:**
-- Support for image URLs
-- Optional image naming
-- Integration with other Leonardo AI actions
-
 ### Upscale Image
 Increases the resolution of images using Leonardo AI's Universal Upscaler.
 
@@ -99,11 +85,7 @@ For detailed information about Leonardo AI's API, visit the [official documentat
 
 ## Rate Limits
 
-Leonardo AI has the following rate limits:
-- Total requests: 1,000 per minute
-- Image generation requests: 100 per minute
-- Concurrent image generation jobs: 10
-- Concurrent model training jobs: 5
+See the official Leonardo AI documentation for current limits.
 
 ## Support
 

components/leonardo_ai/actions/generate-image/generate-image.mjs

@@ -3,8 +3,8 @@ import app from "../../leonardo_ai.app.mjs";
 export default {
   key: "leonardo_ai-generate-image",
   name: "Generate Image",
-  description: "Generates new images using Leonardo AI's image generation API.",
-  version: "0.0.5",
+  description: "Generates new images using Leonardo AI's image generation API.  [See the documentation](https://docs.leonardo.ai/reference/creategeneration)",
+  version: "0.0.1",
   type: "action",
   props: {
     app,
@@ -18,7 +18,7 @@ export default {
       label: "Model",
       description: "The model to use for generation. Leave empty to use the default model.",
       async options() {
-        const models = await this.app.getPlatformModels({});
+        const models = await this.app.getPlatformModels();
         return models.map((model) => ({
           label: model.name || model.id,
           value: model.id,
@@ -30,39 +30,42 @@ export default {
       type: "integer",
       label: "Width",
       description: "Width of the generated image in pixels.",
-      default: 512,
-      min: 256,
-      max: 1024,
+      default: 1024,
+      min: 32,
+      max: 1536,
     },
     height: {
       type: "integer",
       label: "Height",
       description: "Height of the generated image in pixels.",
-      default: 512,
-      min: 256,
-      max: 1024,
+      default: 768,
+      min: 32,
+      max: 1536,
     },
     numImages: {
       type: "integer",
       label: "Number of Images",
-      description: "Number of images to generate (1-4).",
+      description: "Number of images to generate (1-8). If either width or height is over 768, must be between 1 and 4.",
       default: 1,
       min: 1,
-      max: 4,
+      max: 8,
     },
     guidanceScale: {
-      type: "string",
+      type: "integer",
       label: "Guidance Scale",
       description: "How closely the model should follow the prompt. Must be between 1 and 20. Higher values = more adherence to prompt.",
+      default: 7,
+      min: 1,
+      max: 20,
       optional: true,
     },
     numInferenceSteps: {
       type: "integer",
       label: "Inference Steps",
       description: "Number of denoising steps. More steps = higher quality but slower generation.",
-      default: 20,
+      default: 15,
       min: 10,
-      max: 50,
+      max: 60,
       optional: true,
     },
     seed: {
@@ -89,28 +92,20 @@ export default {
       width,
       height,
       num_images: numImages,
+      modelId,
+      guidance_scale: guidanceScale,
+      num_inference_steps: numInferenceSteps,
+      seed: seed
     };
 
-    if (modelId) {
-      data.modelId = modelId;
-    }
-    if (guidanceScale) {
-      data.guidance_scale = parseFloat(guidanceScale);
-    }
-    if (numInferenceSteps) {
-      data.num_inference_steps = numInferenceSteps;
-    }
-    if (seed) {
-      data.seed = seed;
-    }
-
-    const response = await this.app.post({
+    const response = await this.app._makeRequest({
       $,
+      method: "POST",
       path: "/generations",
       data,
     });
 
-    $.export("$summary", `Successfully generated ${numImages} image(s) with prompt: "${prompt}"`);
+    $.export("$summary", `Successfully generated ${numImages} image(s)`);    
     return response;
   },
 };

components/leonardo_ai/actions/generate-motion/generate-motion.mjs

@@ -3,8 +3,8 @@ import app from "../../leonardo_ai.app.mjs";
 export default {
   key: "leonardo_ai-generate-motion",
   name: "Generate Motion",
-  description: "Generates a motion (video) from the provided image using Leonardo AI's SVD Motion Generation API.",
-  version: "0.0.4",
+  description: "Generates a motion (video) from the provided image using Leonardo AI's SVD Motion Generation API. [See the documentation](https://docs.leonardo.ai/reference/createsvdmotiongeneration)",
+  version: "0.0.1",
   type: "action",
   props: {
     app,
@@ -28,13 +28,13 @@ export default {
     isInitImage: {
       type: "boolean",
       label: "Is Init Image",
-      description: "If it is an init image uploaded by the user.",
+      description: "Whether the image being used is an init image uploaded by the user.",
       optional: true,
     },
     isVariation: {
       type: "boolean",
       label: "Is Variation",
-      description: "If it is a variation image.",
+      description: "Whether the image being used is a variation image.",
       optional: true,
     },
   },
@@ -49,23 +49,15 @@ export default {
 
     const data = {
       imageId,
+      motionStrength,
+      isPublic,
+      isInitImage,
+      isVariation,      
     };
 
-    if (motionStrength !== undefined) {
-      data.motionStrength = motionStrength;
-    }
-    if (isPublic !== undefined) {
-      data.isPublic = isPublic;
-    }
-    if (isInitImage !== undefined) {
-      data.isInitImage = isInitImage;
-    }
-    if (isVariation !== undefined) {
-      data.isVariation = isVariation;
-    }
-
-    const response = await this.app.post({
+    const response = await this.app._makeRequest({
       $,
+      method: "POST",
       path: "/generations-motion-svd",
       data,
     });

components/leonardo_ai/actions/unzoom-image/unzoom-image.mjs

@@ -3,8 +3,8 @@ import app from "../../leonardo_ai.app.mjs";
 export default {
   key: "leonardo_ai-unzoom-image",
   name: "Unzoom Image",
-  description: "Creates an unzoom variation for a generated or variation image using Leonardo AI's unzoom API.",
-  version: "0.0.2",
+  description: "Creates an unzoom variation for a generated or variation image using Leonardo AI's unzoom API. [See the documentation](https://docs.leonardo.ai/reference/createvariationunzoom)",
+  version: "0.0.1",
   type: "action",
   props: {
     app,
@@ -31,8 +31,9 @@ export default {
       isVariation,
     };
 
-    const response = await this.app.post({
+    const response = await this.app._makeRequest({
       $,
+      method: "POST",
       path: "/variations/unzoom",
       data,
     });

components/leonardo_ai/actions/upload-image/upload-image.mjs

@@ -1,10 +1,12 @@
 import app from "../../leonardo_ai.app.mjs";
+import FormData from "form-data";
+import { getFileStreamAndMetadata } from "@pipedream/platform";
 
 export default {
   key: "leonardo_ai-upload-image",
   name: "Upload Image",
-  description: "Uploads a new image to Leonardo AI for use in generations and variations.",
-  version: "0.0.9",
+  description: "Uploads a new image to Leonardo AI for use in generations and variations. [See the documentation](https://docs.leonardo.ai/docs/how-to-upload-an-image-using-a-presigned-url)",
+  version: "0.0.1",
   type: "action",
   props: {
     app,
@@ -31,52 +33,58 @@ export default {
         },
       ],
     },
-    file: {
+    filePath: {
       type: "string",
-      label: "File",
-      description: "The base64 encoded image file to upload.",
+      label: "File Path or URL",
+      description: "The file to upload. Provide either a file URL or a path to a file in the `/tmp` directory (for example, `/tmp/myImage.png`)",
+    },
+    syncDir: {
+      type: "dir",
+      accessMode: "read",
+      sync: true,
+      optional: true,
     },
   },
   async run({ $ }) {
     const {
       extension,
-      file,
+      filePath,
     } = this;
-    console.log(extension);
-    // Convert base64 string to Buffer
-    const base64Data = file.replace(/^data:image\/[a-z]+;base64,/, "");
-    const buffer = Buffer.from(base64Data, "base64");
-
-    // Create a File-like object from the buffer
-    const fileObject = {
-      buffer: buffer,
-      name: `image.${extension}`,
-      type: `image/${
-        extension === "jpg" ?
-          "jpeg"
-          : extension
-      }`,
-    };
+    // Get file stream from URL or /tmp based path
+    const {
+      stream,
+      metadata,
+    } = await getFileStreamAndMetadata(filePath);
 
-    // Step 1: Get the presigned URL and upload fields
+    // Step 1: Get the presigned URL, upload fields appended to formData
     const uploadResponse = await this.app.getUploadInitImage({
       $,
       extension,
     });
 
     const { uploadInitImage } = uploadResponse;
     const fields = JSON.parse(uploadInitImage.fields);
+    const formData = new FormData();    
+
+    //Important: Order of fields is sanctioned by Leonardo AI API. Fields should go first, then the file
+    for (const [label, value] of Object.entries(fields)) {
+      formData.append(label, value.toString());
+    }    
+    formData.append("file", stream, {
+      contentType: metadata.contentType,
+      knownLength: metadata.size,
+      filename: metadata.name,
+    });    
     const uploadUrl = uploadInitImage.url;
 
     // Step 2: Upload the file to the presigned URL
     const uploadResult = await this.app.uploadFileToPresignedUrl({
       $,
       url: uploadUrl,
-      fields,
-      file: fileObject,
+      formData,
     });
 
-    $.export("$summary", `Successfully uploaded image with extension: ${extension}`);
+    $.export("$summary", `Successfully uploaded image: ${metadata.name || filePath}`);
     return {
       uploadInitImage,
       uploadResult,

components/leonardo_ai/actions/upscale-image/upscale-image.mjs

@@ -3,8 +3,8 @@ import app from "../../leonardo_ai.app.mjs";
 export default {
   key: "leonardo_ai-upscale-image",
   name: "Upscale Image",
-  description: "Creates a high-resolution upscale of the provided image using Leonardo AI's upscale API.",
-  version: "0.0.2",
+  description: "Creates a high-resolution upscale of the provided image using Leonardo AI's upscale API. [See the documentation](https://docs.leonardo.ai/reference/createvariationupscale)",
+  version: "0.0.1",
   type: "action",
   props: {
     app,
@@ -21,8 +21,9 @@ export default {
       id: imageId,
     };
 
-    const response = await this.app.post({
+    const response = await this.app._makeRequest({
       $,
+      method: "POST",
       path: "/variations/upscale",
       data,
     });