Higgsfield: Batch generating AI images with Nana Banana Pro

Alwi Batarilan·Apr 2026

Demo summary

The user configures the Nana Banana Pro model settings and runs the pipeline to generate multiple images with different outfits simultaneously.

Step-by-step

Connect the master prompt to the nodes
Add the reference image to the canvas
Click the Run Pipeline button to start the batch generation
Double-click on a generated image to zoom in and view it clearly
Click the regenerate button on specific nodes if the output contains hallucinations

Options

Manually drag images and paste prompts into individual scenes instead of using the pipeline

Watch out for

The hallucination level can be high because the Spaces feature is still new
If the AI cannot see teeth in the image, it will guess and hallucinate what they look like during animation

Tips

Use a universal master prompt to ensure consistency across different styles
Ensure the prompt is done correctly to minimize manual adjustments
Ideally, generate images where teeth are visible if you plan to bring the still image to life later

Highlights

“it's literally generating almost on autopilot. We did the work once... and it's literally, as you can see, being generated all in one freaking go.”

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 ProCurrentThe 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 3.0The 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)” →

AI Image Generator

1:121:18Build a multi-model image generation workflow in Higgsfield CanvasThe user demonstrates how to add a prompt node and connect it to an image generator node, adjusting settings like aspect ratio and selecting models such as GPT image 2.RandomAI
2:301:37Benchmarking multiple AI models simultaneouslyThe creator shows how to connect a single prompt to three different image models (GPT image 2, Nano Banana 2, and Seedream 5.0 light) to compare their outputs side-by-side in one run.RandomAI
6:131:47Basic Image Generation with NodesA demonstration of creating a basic image generation workflow by connecting a prompt node to an image generation node using the GPT Image 2 model.DraftID
8:062:45Character Style Consistency with Prompt NodesThe video shows how to separate style and character prompts into different nodes to maintain a consistent 'miniature' look while swapping character subjects like an elf or a mech.DraftID
3:201:18Generate cinematic images with character and location tagsThe demonstration shows how to use '@' tags to reference saved characters and locations within a text prompt to generate consistent cinematic images in Higgsfield.Steven Wommack
11:132:02Compose and color grade a scene in HiggsfieldThe demo shows how to combine saved characters and locations into a single scene prompt, generate the image, and apply cinematic color grading and film grain effects.David Manning
2:091:54Build scenes in Higgsfield Cinema StudioThe user shows how to upload generated characters as references into Cinema Studio, select environments, and describe character interactions to create a static base scene.Money4Life
0:441:53Generate AI images with Higgsfield Canvas nodesThe user demonstrates how to connect a text prompt node and two image reference nodes to an image generator node in Higgsfield Canvas to create a specific cyberpunk character.Mhd Labs
0:321:14Generate an image using nodes in Higgsfield AIThe user demonstrates how to create a prompt node, connect it to an AI image generation node, and run the pipeline to generate an image of a cat within the Higgsfield AI canvas.Artturi Jalli
2:340:46Compare multiple AI image models on one canvasThe creator shows how to connect a single prompt to multiple different image generation nodes (like Cream 5.0 and Gro Imagine) to compare results side-by-side.Artturi Jalli
1:091:06Generate image prompts using LLM nodesThe demo shows connecting a headshot asset to a Claude Sonnet LLM node to generate an optimized prompt for a scuba diver image.Joseph Martin
2:561:18Multi-model image generation in HiggsfieldThe user demonstrates connecting a single prompt to multiple image nodes (Nano Banana Pro, GPT Image 2, and Nano Banana 2) to generate different variations simultaneously.Joseph Martin