The Ultimate Guide to FLUX 3

This post introduces FLUX 3, a multimodal foundation model for video generation. It details the model's architecture which learns from images, audio, and video to generate multimodal outputs, aiming for a more integrated understanding of reality. The post provides extensive examples and guidance on using FLUX 3 for text-to-video generation with detailed prompts, image-to-video transformations by specifying start and end frames, video continuation from an existing clip, generating multiple scenes and camera angles within a single prompt, and achieving various artistic styles (e.g., stop-motion claymation, comic-inked cityscape). It also highlights the model's ability to generate realistic VHS-style home videos and experimental zero-G footage. The post includes a Python code snippet demonstrating how to run FLUX 3 on Replicate, specifying parameters like prompt, duration, resolution, aspect ratio, and audio generation.