Compose and color grade a scene in Higgsfield

David Manning·Apr 2026

Demo summary

The 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.

Step-by-step

Enter a detailed prompt describing the scene, characters, and lighting.
Set the number of generations to four to provide multiple options.
Click Generate to create the scene images.
Select the preferred image from the generated results.
Open the color grading menu to adjust the aesthetic.
Select a preset style like Cinematic or 16mm film.
Fine-tune specific parameters such as Temperature, Hue, Saturation, and Film Grain.

Options

Choose between different film looks like 'old lens' or '16mm film'
Adjust technical effects including halation, lens distortion, and exposure

Watch out for

AI generation can occasionally lose character consistency (e.g., changing hair length or facial features) in specific frames

Tips

Run multiple generations at once to ensure you get at least one image that perfectly matches your character and location references
Use the color grading tools to establish a specific aesthetic before proceeding to animation

Highlights

“this just gives you way more control than we used to. We used to kind of just tell AI what we wanted and hope that it got it close.”

All demos from “HIGGSFIELD AI: A Beginner’s Guide to Mind-Blowing AI Video!”

4:313:19Create and cast a custom AI character in HiggsfieldThe creator uses the 'Cast' tool in Higgsfield Cinema Studio 2.5 to define a character's genre, archetype, physical appearance, and outfit before generating and saving the character element.Higgsfield· AI Avatar Generator
9:510:54Generate a cinematic location in HiggsfieldThe user demonstrates generating a specific environment by prompting for an 'old western town' and selecting from multiple AI-generated variations to save as a location element.Higgsfield· Text to Image
11:132:02Compose and color grade a scene in HiggsfieldCurrentThe 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.Higgsfield· AI Image Generator
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.Higgsfield· Image to Video
15:173:38Direct a multi-shot AI video with manual controlsThe user demonstrates the 'Multi-shot manual' video tool, setting start frames, assigning character emotions (like 'apprehensive'), and writing dialogue for a 12-second sequence.Higgsfield· Script To Video AI Generator
19:030:52AI Video Motion Control with Kling 3.0The video shows the process of using a personal video recording as a motion capture input to drive the movements of an AI-generated character using the Kling 3.0 model inside Higgsfield.Higgsfield· Video to Video
Watch “HIGGSFIELD AI: A Beginner’s Guide to Mind-Blowing AI Video!” →

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 HiggsfieldCurrentThe 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