demobook

Higgsfield: Generate AI video from image references

Demo summary

The demonstration shows how to upload character, location, and vehicle assets into the video section of Higgsfield, configure camera movement and speed ramps, and generate a 15-second cinematic clip with audio.

Step-by-step

  1. Navigate to the video section inside Cinema Studio
  2. Upload reference images for characters, locations, and vehicles into the references space
  3. Enter a video prompt including desired dialogue and sound effects
  4. Select a genre from the settings to define energy and pacing
  5. Choose a camera movement preset or select Auto
  6. Adjust the speed ramp setting to control movement emotion
  7. Select the resolution, aspect ratio, and duration
  8. Click Generate

Options

  • Choose between Action, Drama, or Comedy genres
  • Select camera movements such as slow pushes, dollies, or 360 rolls
  • Set speed ramp to Auto, Slow (for tension), or Fast (for urgency)

Tips

  • Copy and paste reference images instead of writing complex prompts to describe the scene
  • Include dialogue and sound effects directly in the video prompt

All demos from “How to ACTUALLY Use Higgsfield Cinema Studio (for Cinematic AI Videos)

  1. 2:372:15Create a consistent character in Higgsfield Cinema StudioThe user demonstrates how to use the Character mode in Higgsfield to define a character's genre, budget, era, archetype, and physical traits like eye color and hair style to generate a high-quality reference image.HiggsfieldAI Person Generator
  2. 5:110:30Generate cinematic locations with HiggsfieldThe creator shows how to use the Location option in Higgsfield Cinema Studio to generate a cinematic background with specific lighting and camera angles based on a short text prompt.HiggsfieldText to Video
  3. 6:010:22Generate vehicle assets using General modeThe user demonstrates generating consistent vehicle assets, specifically a hero car and a police car, using the General image mode to ensure visual continuity for a chase scene.HiggsfieldAI Image Generator
  4. 6:381:17Generate AI video from image referencesCurrentThe demonstration shows how to upload character, location, and vehicle assets into the video section of Higgsfield, configure camera movement and speed ramps, and generate a 15-second cinematic clip with audio.HiggsfieldImage to Video
  5. 8:301:02Chain AI video scenes with Multi-Reference featureThe creator demonstrates the multi-reference feature in Higgsfield to chain clips together by using a previously generated video as a reference for the next scene to maintain mood and lighting consistency.HiggsfieldAI Animation Generator
  6. Watch “How to ACTUALLY Use Higgsfield Cinema Studio (for Cinematic AI Videos)” →

Image to Video

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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