demobook

Higgsfield: Using Image References for Video Generation

Demo summary

The user uploads a reference image of the Canadian Rockies into Higgsfield to ground the AI's video generation in a specific, realistic location.

Step-by-step

  1. Generate a reference image of the specific location in an AI image tool
  2. Upload the reference image into the Higgsfield supercomputer
  3. Enter a prompt asking the AI to redo the scene grounded in that reference image

Tips

  • Use specific reference images to anchor the AI model rather than relying on generic prompts
  • This technique of using reference images works across any AI image or video tool

Highlights

AI models do meaningfully better with something specific to anchor to

All demos from “Higgsfield Supercomputer: What This AI Agent Got Right And Where You Still Take Over

  1. 8:041:29Creating and Stitching Cinematic AI Video AdsThe user demonstrates the video workflow, selecting anchor frames for visual consistency and using the tool's built-in FFmpeg integration to automatically stitch clips into a 30-second ad.HiggsfieldAI Commercial Generator
  2. 11:010:31Using Image References for Video GenerationCurrentThe user uploads a reference image of the Canadian Rockies into Higgsfield to ground the AI's video generation in a specific, realistic location.HiggsfieldImage to Video
  3. Watch “Higgsfield Supercomputer: What This AI Agent Got Right And Where You Still Take Over” →

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