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How to Create Glass Fruit Cutting Decompression Videos with Seedance at Low Cost

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In this fast-paced digital age, decompression videos have become a popular choice for people to relieve stress. Especially glass fruit cutting ASMR videos, which not only have stunning visual effects but also have a creative production process. Today we will introduce in detail how to use the Monet Vision platform and advanced Seedance AI model to create professional-grade glass fruit cutting decompression videos at low cost. Step 1: Generate Video First Frame Visit the  Image Generation Page Choose your desired AI model, such as GPT-4o, Flux, Ideogram, etc. You can also select multiple models for effect comparison Enter the prompt below (you can modify it according to your creative ideas) Select the video size you want to generate. Monet Vision provides various professional image size options Click the generate button and wait for AI to create the perfect first frame image for you Recommended Prompt: Ultra-realistic close-up of a chef holding a sharp knife, just about to slice int...
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  An Image Generator with Multi-Model Comparison 1. What is Model Comparison? Model comparison is one of Monet Vision’s core features that allows you to use multiple different AI models simultaneously to generate images. It leverages each model’s unique strengths to generate multiple comparison images at once, then lets you choose the best one. 2. Monet Vision’s Multi-Model Ecosystem Monet Vision integrates multiple industry-leading AI image generation models, providing you with rich creative choices: GPT-4o : Powerful multimodal understanding capability, excels at complex scene descriptions Flux Series : Including Schnell (Fast), Kontext-Pro (Professional), Kontext-Max (Premium) and other versions Imagen Series : Google’s advanced models with excellent natural language understanding Stable Diffusion : Rich open-source ecosystem with strong customizability Recraft V3 : Specialized in vector graphics and logo design Ideogram v2 Turbo : Outstanding performance in text rendering and b...
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