Generating video from image references in Higgsfield AI

Higgsfield Try it →Watch full video →Higgsfield AI · May 2026

Demo summary

The 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.

Step-by-step

Switch the mode to Video in the interface
Upload the character sheet and location reference images
Paste the prompt into the generation field
Select the 21x9 aspect ratio for cinematic output
Run a batch of eight generations to test the prompt
Skim through the generated videos to check composition before watching in full

Options

Use 16x9 aspect ratio instead of 21x9
Translate prompts into Chinese to bypass character limits and improve model performance

Watch out for

The order of reference images must match the order they are described in the prompt (e.g., character first, then environment)
There is a hard cap of 3,000 characters per prompt

Tips

Use batches of eight to quickly identify if the model is making consistent mistakes
If generations are failing, use Claude to refine the prompts or fix the shot list structure
Include 'failure modes' or negative handles directly inside the prompt to prevent issues like object drifting
Stop the generation and fix the prompt immediately if you notice recurring errors in a batch
Only watch the full video if the initial composition looks correct to save time

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Watch “How to Make AI Films That Don't Look AI (Full Tutorial)” →

Image to Video

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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
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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
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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