demobook

Higgsfield: Convert an AI image to video with motion prompts

Demo summary

The 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.

Step-by-step

  1. Connect an image node into a video generation node.
  2. Enter a motion prompt describing the desired action.
  3. Select a video generation model from the dropdown menu.
  4. Open the settings section to configure generation parameters.
  5. Adjust the duration, resolution, and aspect ratio.
  6. Enable the 'Generate Audio' toggle.
  7. Click the generate button to create the video.

Options

  • Choose from various main models including Cedance 2.0 fast.
  • Set aspect ratio to 9:16 for social media platforms like TikTok or Instagram.
  • Adjust the number of videos to create simultaneously.

Watch out for

  • You must manually enable the audio generation setting or the video will be silent.

Tips

  • Use the Cedance 2.0 fast model to save time and credits.
  • Lower the resolution to speed up the generation process.
  • Always check the 'open settings' section before generating to ensure duration and audio are correct.

Highlights

I mean, that is pretty cool.

All demos from “NEW Higgsfield Canvas Tutorial — Create Consistent AI Images & Videos

  1. 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.HiggsfieldAI Image Generator
  2. 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.HiggsfieldAI Image Generator
  3. 4:071:49Convert an AI image to video with motion promptsCurrentThe 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.HiggsfieldImage to Video
  4. Watch “NEW Higgsfield Canvas Tutorial — Create Consistent AI Images & Videos” →

Image to Video

  1. 12:250:46Animate AI images into video with HiggsfieldThe creator uses the animate feature in Higgsfield to turn a static AI-generated image of a dog into a moving video clip.Jack Craig
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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