Higgsfield: Building an AI video workflow with Kling 3.0
Higgsfield
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 Try-on
- 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
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
4:031:42Animate AI scenes with Kling 3.0The narrator demonstrates converting a static scene into a video by selecting the Kling 3.0 model, adding motion prompts, and setting the duration and quality to 1080p.Money4Life
7:541:25Animate backgrounds with Higgsfield Kling 3.0The user demonstrates generating a clean background in Higgsfield and then animating it using the Kling 3.0 video model with a start-frame reference.Creating with Conor
4:150:38Automated video creation with Higgsfield SupercomputerThe video shows the Higgsfield Supercomputer agent performing research, generating images, and then automatically converting those images into a video with audio using the C-Dance 2.0 model.Malva AI
4:500:57Cinematic Video Generation with HiggsfieldThe video demonstrates using Higgsfield to generate high-quality images with GPT Image 2 and then animating them using the SeaDance 2.0 model.Malva AI
4:501:02Animate images using C Dance 2.0The demonstration shows connecting an image node to a video generation node using the C Dance 2.0 model, including adjusting aspect ratio and motion settings to produce a cinematic video.Mr.Endatah
1:39:231:28Motion control with Kling 3.0The user demonstrates copying movements from a motion library onto a static character image using the Kling 3.0 motion control model.Artturi Jalli
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
2:401:13Create AI video from image and prompt nodesThe demonstrator connects a previously generated image to a video generator node and adds a cinematic prompt to create a 12-second video with complex camera movements.Mhd Labs
4:071:49Convert an AI image to video with motion promptsThe demo shows connecting an image node to a video generation node (using the Cedance 2.0 model) and adding a motion prompt to make the generated cat stand up and jump.Artturi Jalli
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