Blog/WAN-2.1 FLF2V Now Live on WaveSpeedAI: From Keyframes to Cinematic Motion

WAN-2.1 FLF2V Now Live on WaveSpeedAI: From Keyframes to Cinematic Motion

WaveSpeedAI,

We’re excited to bring another powerful addition to the WAN-2.1 lineup: WAN-2.1 FLF2V (First-Last Frame-to-Video) is now live on WaveSpeedAI.

This model introduces a novel approach to video generation by taking a starting frame and a target end frame, and then generating a smooth, dynamic video that transitions between the two. Instead of interpolating or morphing, WAN-FLF2V creates realistic motion informed by text prompts, style, and visual coherence.

Whether you’re visualizing storyboards or animating scenes from key concepts, FLF2V opens new doors in controllable video generation.

What is WAN-2.1 FLF2V?

FLF2V stands for First-Last Frame to Video. The model uses two image anchors—the first frame and last frame—and generates a short cinematic sequence that connects the two via plausible and creative motion.

Rather than simply blending frames, it leverages the architecture of Wan 2.1, integrating LoRA conditioning, diffusion guidance, and temporal consistency training to produce meaningful transitions.

The FLF2V model bridges the creative gap between keyframes. The results often feel like scenes from short animated films—with character motion, background transitions, and action unfolding fluidly.

Key Features

Use Cases

How to Use on WaveSpeedAI

  1. Go to any WAN-2.1 FLF2V model page on WaveSpeedAI
  2. Upload or generate a first frame and a target last frame.
  3. Set your prompt, negative prompt, and resolution.
  4. Generate a full video bridging the two scenes.

Whether you’re prototyping animations, visualizing transitions, or pushing the boundaries of AI-assisted storytelling, WAN-2.1 FLF2V opens up a powerful new dimension in controllable video generation. By simply specifying a first and last frame, creators can now produce smooth, coherent motion that connects moments with striking visual fidelity.

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