Higgsfield: Building an AI video workflow with Kling 3.0

Higgsfield Try it →Watch full video →Alwi Batarilan · Apr 2026

Demo summary

The demonstration shows how to set up a video generation pipeline by connecting a source image and a script prompt to the Kling 3.0 video generator node.

Step-by-step

Drag and drop your source image into the workspace
Add a prompt box node and a video generator node
Select the Kling model within the video generator node
Set the duration and ensure the size format matches your source image aspect ratio
Paste your script into the prompt box
Connect the image node output to the 'picture' input on the video generator
Connect the prompt box 'T' output to the 'text' input on the video generator
Highlight the nodes and use Control+C and Control+V to duplicate the setup for multiple scenes

Options

Toggle 'Turn on sound' (recommended to keep on)
Enable 'Enhance prompt' to let Higgsfield improve your script
Adjust CFG scale to balance AI creativity versus prompt likeness

Watch out for

The resolution is currently defaulted to 4K and cannot be changed to 1080p
The size format of the video generator must match the aspect ratio of the source image

Tips

Have your script/prompt ready before building the node structure
Set up one complete node pipeline first, then copy and paste it to quickly build out multiple scenes
Use a CFG scale of 0.5 for a '50/50' balance of creativity and likeness

All demos from “Higgsfield Canvas Tutorial: AI Image & Video Node Workflow 2026 (Step-by-Step)”

6:131:25Setting up image sources in Higgsfield CanvasThe user demonstrates how to drag and drop a primary source image and multiple reference outfit images onto the Higgsfield Canvas to begin a workflow.Higgsfield· AI Image Generator
7:381:14Adding prompt and image generator nodesThe creator shows how to add specific nodes for a prompt box and an image generator within the Higgsfield interface.Higgsfield· AI Image Generator
8:523:33Connecting nodes for outfit swappingThe user demonstrates connecting the source image, prompt box, and reference images to the image generator node using visual wires to define the AI's instructions.Higgsfield· AI Clothing Removal
12:252:30Batch generating AI images with Nana Banana ProThe user configures the Nana Banana Pro model settings and runs the pipeline to generate multiple images with different outfits simultaneously.Higgsfield· AI Image Generator
20:082:52Building an AI video workflow with Kling 3.0CurrentThe demonstration shows how to set up a video generation pipeline by connecting a source image and a script prompt to the Kling 3.0 video generator node.Higgsfield· Image to Video
23:512:39Running the video pipeline and reviewing resultsThe user runs the video generation pipeline and plays back the resulting AI-animated video clips directly on the canvas.Higgsfield· AI Animation Generator
26:300:55Managing versions and regenerationsThe creator demonstrates how to view previous versions of a generation and how to use the regenerate button to fix AI hallucinations like closed mouths.Higgsfield· AI Image Generator
Watch “Higgsfield Canvas Tutorial: AI Image & Video Node Workflow 2026 (Step-by-Step)” →

Image to Video

12:250:46Animate AI images into video with HiggsfieldThe creator uses the animate feature in Higgsfield to turn a static AI-generated image of a dog into a moving video clip.Jack Craig
3:260:20Create cinematic transitions between imagesThe user uploads two different images and applies the 'Raven' transition effect to create a seamless camera movement traveling through space between the scenes.Roboverse
5:421:16Multi-shot image-to-video generationThe user demonstrates Higgsfield's video interface by uploading an image and using the Kling 3.0 model with a multi-shot prompt to create a 10-second cinematic sequence with specific camera movements.Roboverse
11:441:26Animate a single shot with camera controlsThe video demonstrates converting a still image into a video by setting character emotions, camera movements (cinematic push), and speed ramps in Cinema Studio.Youri van Hofwegen
6:360:48Multi-element video generationThe demo shows uploading multiple character and location assets to generate a video of a casual conversation where all elements blend naturally.Higgsfield AI
2:390:19Create consistent AI characters in HiggsfieldThe creator demonstrates how to upload photos of a person to Higgsfield Cinema Studio 2.5 to build a consistent AI character for video generation.Steven Wommack
2:580:22Define AI video locations in HiggsfieldThe user shows how to upload mood images to Higgsfield to define a specific, repeatable location for AI-generated scenes.Steven Wommack
4:381:08Animate images using Higgsfield Cinema StudioThe creator demonstrates uploading a generated image and applying camera movement prompts and duration settings to animate the scene.Steven Wommack
48:143:52Generating video from image references in Higgsfield AIThe video demonstrates the process of using character sheets and location references to generate a video clip of a character entering a room using Higgsfield AI.Higgsfield AI
13:271:19Generate story variations with Multi-shot and What's NextThe creator uses the 'Multi-shot' and 'What's Next' features to automatically generate nine different cinematic angles and narrative progressions from a single reference image.David Manning
5:040:26Cinematic video generation with HiggsfieldThe demo shows generating an image using GPT Image 2 and then using the 'animate' feature to create a cinematic clip with SeaArt 2.0.Malva AI
3:150:57Generate human emotions with Image-to-VideoUsing an image of a woman crying, the creator demonstrates how Kling 3.0 handles complex human emotions and micro-expressions with a simple text prompt.Higgsfield AI