(ComfyUI Workflow) Wan 2.1 Fun Inp - Advance ver.20250403 - For Patreon Supporters

Video: https://youtu.be/M4Lh1UkwlEQ

Related Post: https://www.patreon.com/posts/125857472

Creating smooth, high-quality AI-generated animations using frame interpolation just got easier with the WAN 2.1 Fun InP model and Tile LoRA upscaling . Here’s how to refine your workflow and elevate your video outputs:

1. The Core Workflow: Frame Interpolation with WAN 2.1 Fun Inpaint

• Step 1: Set Up Your Model
  Download the WAN 2.1 Fun InP model (1.3B or 14B) from Hugging Face and load it into ComfyUI via the Diffusion Models folder. Use the native Wan Fun InP 2 Video node for seamless integration.

• Step 2: Prepare Start & End Frames
  Choose two images with consistent composition (e.g., same character, minimal pose changes). For example:

  • A sports car’s front view (start ) and rear view (end ) for a dynamic camera orbit.

  • An elf casting magic with slight water motion variations.

• Step 3: Encode Visuals with Clip Vision
  Batch your start/end frames into an image batch and encode them using Clip Vision H . This helps the AI “visualize” transitions, reducing morphing artifacts.

• Step 4: Generate Base Animation
  Configure width, height, and settings (with CFGZeroStar ). Generate the base video—expect some trial and error with seeds to avoid deformations.

2. Boost Quality with Tile LoRA: Upscaling & Refinement

Once you’ve generated a base video:

• Step 1: Upscale with Tile LoRA
  Apply a 1.5x upscale using Tile LoRA models. This sharpens details (e.g., facial expressions, clothing textures) without distorting the animation.

• Step 2: Skip Layer Guidance? Not Here.
  Avoid using skip layer guidance during upscaling—it can warp frames. Stick to CFG0 for cleaner results.

Example Outcome:

• A morphing elf video gains smoother water effects and crisper character details after upscaling.

• A drifting sports car clip retains motion flow while reducing background inconsistencies.

Why This Works

• WAN 2.1’s Strengths: Handles complex transitions (e.g., camera rotations, subtle pose shifts) better than older models like LTX.

• Tile LoRA’s Role: Adds polish after interpolation, ensuring your final video balances creativity and clarity.

Pro Tip: For static subjects (e.g., a beetle flapping wings), pair this workflow with inpainting tools like Flux ACE+ for even smoother motion.

Final Takeaway:
Frame interpolation + Tile LoRA = professional-grade animations with minimal effort. Experiment with seeds and compositions to nail that “lucky shot” every time!

Ready to transform your AI video projects? Let’s get interpolating! 🚀

Attached workflow below, have fun:)