Higgsfield: Generate cinematic images with character and location tags

Demo summary
The demonstration shows how to use '@' tags to reference saved characters and locations within a text prompt to generate consistent cinematic images in Higgsfield.
Step-by-step
- Select Scenes or Image from the bottom menu
- Type '@' in the prompt box to select a saved character
- Describe the action and details of the scene
- Type '@' again to select a saved location
- Choose the aspect ratio and resolution
- Click generate to create four image options
- Select your favorite image to proceed to the next storyboard scene
Options
- Generate images in different formats/ratios
- Adjust resolution settings
Watch out for
- Characters and locations must be built/saved before they can be referenced with @ tags
Tips
- Use specific descriptive details like 'film from above' or 'super close-up of the eyes' to guide the cinematic style
- Repeat the tagging process for every scene in your storyboard to maintain visual consistency
Highlights
“we get this super realistic, great character consistency, and the location matches the first scene”
All demos from “How to Make Ultra Realistic AI Videos - (4 STEPS)”
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.Higgsfield· Image to Video
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.Higgsfield· Image to Video
3:201:18Generate cinematic images with character and location tagsCurrentThe demonstration shows how to use '@' tags to reference saved characters and locations within a text prompt to generate consistent cinematic images in Higgsfield.Higgsfield· AI Image Generator
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.Higgsfield· Image to Video
6:150:50Apply film grain and bloom in Premiere ProThe video shows the process of using the Dehancer plugin within Adobe Premiere Pro to add film grain and bloom to AI-generated clips for a more realistic texture.Adobe Audition· AI Video Enhancer- Watch “How to Make Ultra Realistic AI Videos - (4 STEPS)” →
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 tagsCurrentThe 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
Higgsfield