Generate 360° virtual try-on videos for clothing with Kling API (unofficial)
What's the workflow used for？ Leverage this Kling API (unofficial) provided by PiAPI workflow to streamline virtual try-on video creation. This tool is designed for e-commerce platforms, fashion brands, content creators and content influencers. By uploading model and clothing images and linking PiAPI account, users can swiftly generate a realistic video of the model sporting the outfit with a 360° turn, offering an immersive viewing experience. Step-by-step Instruction For basic settings of virtual try-on, check API doc to get best practice. Fill in your X-API-Key of your PiAPI account in Preset Parameters node. Upload the model photo and provide target clothing image urls. Click Test Workflow to generate virtual try-on image. Get the video output in the final node. Param Settings If you want to change into a dress, input the modelinput URL and the dressinput URL in the parameters. If you want to change into separates, input modelinput URL, upperinput URL and lower_input URL in Preset Parameters. Use Case Input images： Output Video <video src="https://static.piapi.ai/n8n-instruction/virtual-try-on/example1.mp4" controls /> The output demonstrates that the model is wearing the clothing from the specified image and showcases a rotating runway-style view. This workflow enables you to efficiently test garment-on-model presentation effects while reducing business model validation costs to a certain extent.
By PiAPIScrape TikTok profile & transcript with Dumpling AI and save to Google Sheets
Who is this for? This workflow is built for marketers, researchers, and content analysts who need to monitor TikTok content, analyze user data, or track trends across influencers. It's useful for agencies that manage creators or want to keep an organized record of profile performance and video content for reporting or outreach. --- What problem is this workflow solving? Instead of manually checking TikTok profiles or watching videos to understand performance or content, this workflow automates everything. It extracts both profile statistics and full video transcripts, then logs them in Google Sheets for easy access, filtering, and segmentation. --- What this workflow does The automation watches for new TikTok video URLs added to a Google Sheet. When a new row is detected: It extracts the username from the URL. Sends the username to Dumpling AI to get full profile data (followers, likes, videos). Sends the video URL to Dumpling AI to extract the full transcript. Appends all this information back into the same sheet. Everything happens automatically after a new URL is added to the sheet. --- Setup Google Sheets Trigger Connect your Google account and select the spreadsheet where TikTok links will be added. The workflow will trigger on each new row. Example sheet column: USERNAME Video Extract Username This Set node uses RegEx to extract the username (handle) from the TikTok video URL. No need to change anything unless TikTok URL formatting changes. Dumpling AI Profile Scraper Go to Dumpling AI Sign in and retrieve your API key Create an agent using the get-tiktok-profile endpoint Paste your API key into the httpHeaderAuth field in n8n Dumpling AI Transcript Scraper Also uses Dumpling AI Make sure the endpoint get-tiktok-transcript is enabled in your Dumpling account Connect using the same API key Save to Google Sheets The final node appends data back to your original Google Sheet Required columns: USERNAME Video, Username, Follower count, Following Count, heart count, Video Count, Transcript --- How to customize this workflow to your needs Add a filter node to only save profiles with a minimum follower count Add sentiment analysis for the transcript using OpenAI Connect Airtable or Notion instead of Google Sheets Use GPT to summarize or classify transcripts for research --- ⚠️ Notes Requires a Dumpling AI account and API key Make sure Google Sheets API is connected and has the correct permissions TikTok usernames must start with @ for RegEx to work ---
By Yang