demobook

Higgsfield: Multi-element video generation

Demo summary

The demo shows uploading multiple character and location assets to generate a video of a casual conversation where all elements blend naturally.

Step-by-step

  1. Upload up to nine images of characters and locations
  2. Upload up to three videos and three audio clips if desired
  3. Enter a prompt describing the scene and interaction
  4. Generate the video to blend the elements together

Options

  • Upload up to nine images
  • Upload up to three videos
  • Upload up to three audio clips

Tips

  • Use characters built within the same tool to ensure consistency
  • Think like a director by choosing specific locations and cast elements rather than just prompting

Highlights

Every single one of our elements blended in naturally and all of them stayed consistent across shots.

All demos from “Filmmakers Are About to Panic When They See This

  1. 1:270:59Create a consistent character in Cinema Studio 3.0The user demonstrates how to build a permanent character asset by selecting genre, budget, and era to generate a full character sheet for consistency in Higgsfield AI.HiggsfieldAI Person Generator
  2. 2:280:25Generate cinematic locations with Higgsfield AIThe demo shows how to generate a 'hotel corridor' location with specific cinematic lighting and depth using a text prompt.HiggsfieldText to Image
  3. 3:000:31Integrate characters into scenesThe user selects a previously created character and location to generate a composite image where the character is naturally integrated into the environment.HiggsfieldAI Image Combiner
  4. 3:441:25Generate multi-shot action sequences from a start frameHiggsfield AI is shown generating a 12-second cinematic action sequence using a start frame and character/location references to maintain consistency.HiggsfieldAI Movie Generator
  5. 5:170:45Video-to-video scene continuationThe user uploads a previously generated video as context to create a follow-up scene, demonstrating narrative continuity and character consistency.HiggsfieldAI Video Extender
  6. 6:360:48Multi-element video generationCurrentThe demo shows uploading multiple character and location assets to generate a video of a casual conversation where all elements blend naturally.HiggsfieldImage to Video
  7. 7:240:31Motion control and background replacementThe user demonstrates transferring motion from a source video of a man running into a new generated environment (horror hallway) using Higgsfield AI.HiggsfieldVideo to Video
  8. 8:330:29Animate logos with motion design stylesThe user demonstrates animating the Higgsfield logo into 'liquid glass' and 'classic' styles by using a logo as a reference image.HiggsfieldImage to Video
  9. Watch “Filmmakers Are About to Panic When They See This” →

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