Wan 2.1 I2V Two-Pass Workflow (Flexible LoRA.ver)

Sharing a ComfyUI workflow for image-to-video generation. This is an adapted and slightly modified version of a workflow originally created by an acquaintance.

It utilizes a two-pass KSampler system, focusing on LoRAs effective at low step counts, with a particular emphasis on CausVid for refinement.

1. Independent LoRA for Each Pass (User Customization):

   • Feature: You can apply separate sets of LoRAs to the 1st (initial generation) and 2nd (refinement) KSampler passes.

   • Advantage: This gives you granular control. For instance, use foundational LoRAs in the first pass and specialized motion/detail LoRAs (like CausVid) in the second, or experiment with completely different combinations as you see fit.

2. Addresses Common CausVid LoRA Challenges & Enhances Low-Step Performance:

   • Problem Solved: Directly tackles issues sometimes seen with CausVid LoRA (and other low-step focused LoRAs) where motion can be weak or artifacts appear when generating with very few steps in a single pass.

   • How it Improves:

     • The 1st pass quickly establishes a coherent base latent, even at minimal steps (e.g., 2-5).

     • The 2nd pass then leverages CausVid (and other LoRAs) on this pre-generated latent. This targeted refinement at low steps (e.g., 4-12, with CFG around 1.0) allows CausVid to perform optimally, enhancing motion and cleaning up potential issues more effectively than a single, rushed low-step generation.

   • Advantage: You get the speed benefits of low steps while mitigating common quality/motion degradation, leading to better, more consistent results with efficient LoRAs like CausVid.

This structured, two-stage process allows for more robust and refined outputs, especially when pushing for speed with very low step counts and relying on powerful efficiency LoRAs.

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