demobook

Higgsfield: Generate story variations with Multi-shot and What's Next

Demo summary

The 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.

Step-by-step

  1. Select an existing generated image to use as a reference
  2. Click on the What's Next button to explore narrative progressions
  3. Click on Multi-shot to generate nine different cinematic angles in a single generation
  4. Review the generated variations for different character actions and environmental changes
  5. Heart or save the preferred variations to use as elements or references for future shots
  6. Upscale the chosen variation to save it as a high-quality reference

Options

  • Use Multi-shot for creating a variety of visual looks from the same scene
  • Use What's Next to explore conceptual ideas of what might happen in the story

Tips

  • Use Multi-shot if you want to see a bunch of different looks from a specific scene
  • Save generated variations as elements to build out a consistent story as you go

Highlights

there's so many options. So, with our own story ideas or if we're kind of just creating our own story as we go here, I can save these as elements.

All demos from “HIGGSFIELD AI: A Beginner’s Guide to Mind-Blowing AI Video!

  1. 4:313:19Create and cast a custom AI character in HiggsfieldThe creator uses the 'Cast' tool in Higgsfield Cinema Studio 2.5 to define a character's genre, archetype, physical appearance, and outfit before generating and saving the character element.HiggsfieldAI Avatar Generator
  2. 9:510:54Generate a cinematic location in HiggsfieldThe user demonstrates generating a specific environment by prompting for an 'old western town' and selecting from multiple AI-generated variations to save as a location element.HiggsfieldText to Image
  3. 11:132:02Compose and color grade a scene in HiggsfieldThe demo shows how to combine saved characters and locations into a single scene prompt, generate the image, and apply cinematic color grading and film grain effects.HiggsfieldAI Image Generator
  4. 13:271:19Generate story variations with Multi-shot and What's NextCurrentThe 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.HiggsfieldImage to Video
  5. 15:173:38Direct a multi-shot AI video with manual controlsThe user demonstrates the 'Multi-shot manual' video tool, setting start frames, assigning character emotions (like 'apprehensive'), and writing dialogue for a 12-second sequence.HiggsfieldScript To Video AI Generator
  6. 19:030:52AI Video Motion Control with Kling 3.0The video shows the process of using a personal video recording as a motion capture input to drive the movements of an AI-generated character using the Kling 3.0 model inside Higgsfield.HiggsfieldVideo to Video
  7. Watch “HIGGSFIELD AI: A Beginner’s Guide to Mind-Blowing AI Video!” →

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 NextCurrentThe 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