cboyardee Dilbert Video Style

simpolism
Model Creator
cboyardee Dilbert Video Style

Create Viral Videos with cboyardee Dilbert Video Style

Transform your social media presence with cboyardee Dilbert Video Style on ClipDreamer. This powerful model is perfect for generating unique content that will make your videos stand out. Simply set your creative direction, and let ClipDreamer handle the rest.

Why Use cboyardee Dilbert Video Style for Your Videos?

  • Consistent style that matches cboyardee Dilbert Video Style's unique aesthetic
  • High-quality visuals that capture viewers' attention
  • Perfect for creating viral-worthy short-form content
  • Seamless integration with ClipDreamer's video generation pipeline

Get started with cboyardee Dilbert Video Style today and transform your creative vision into engaging videos that your audience will love to watch and share.

See cboyardee Dilbert Video Style in Action

Watch how cboyardee Dilbert Video Style transforms basic prompts into engaging video content. Our AI-powered platform makes it easy to create professional-quality videos in minutes.

Creator Description

A Flux LoRA trained on an NVIDIA 4070 Ti Super with Fluxgym . This is a style transfer LoRA designed to replicate the unique MSPaint style of cboyardee's artwork. Dataset is a collection of 32 frames extracted and cropped from this video , tagged with Florence-2 with some manual changes. 16 epochs were used with 10 repeat trains per image, resulting in a total step count of 5120. You should use cboyardee_dilbert to trigger the image generation. All tags began with "a cartoon of" but it seems like omitting that prefix still results in good outputs. In the future I want to retag with "MSPaint drawing" as it more accurately describes the style. Note that "Dilbert" (or other characters) were not used in tagging, and so the LoRA will not be able to reproduce the character.

Tags

style