u/EmuIllustrious8200

Hey everyone, I’ve been trying to use WAN 2.2 VACE for video inpainting but I’m struggling to get satisfying results.
The main issues I’m running into:
• The prompt-driven generation inside the mask is either too dark, too neon/psychedelic, or just doesn’t match the scene at all
• The few decent results I managed to get were corrupting the area outside the mask too, making everything look very plastic, waxy and fake
I’m using a static mask (painted manually) and the VACE 14B model. I’ve tried tweaking CFG, steps, strength and denoise but nothing seems to give clean, coherent results that blend naturally with the original footage.
Does anyone have a solid workflow for inpainting with WAN 2.2 VACE? Any tips on mask setup, prompt structure or node configuration would be really appreciated!
Thanks

Hey everyone, I'm looking for a ComfyUI workflow to add an element to an existing video while keeping everything else unchanged.

Basically I have a video clip and I want to insert something new in a specific area — like adding a creature under a bed, or an object in the background — without touching the rest of the footage.

I've been looking into WAN2.1 VACE Inpainting as a possible solution but I'm not sure if that's the right approach or if there's a better/simpler workflow out there.

Has anyone done something like this? Any suggestions on the best workflow or approach would be really appreciated. Thanks!

Hey everyone, sharing some findings from my experiments with FLUX Dev LoRA + WAN2 image-to-video
I’ve been training a custom LoRA on FLUX Dev for a horror/weird creature concept and then trying to animate the generated images with WAN2.1 I2V.
Overall results are interesting but I ran into some consistent issues I wanted to share:
The good: When the prompt and image align well, WAN2 does produce some movement — shambling gaits, swaying limbs, organic surface motion.
The problems:
1. Movement intensity is very inconsistent — some generations are almost completely static, others move well. Same image, same prompt, different seed can give completely different results.
2. The weird length issue — this is the strangest one. If I generate at length 81 and get good movement, increasing the length to 121 or 161 causes the movement to almost completely disappear. The creature goes from shambling to frozen. Has anyone else experienced this? Is there a workaround?
3. AI-generated images vs real photos — WAN2 seems to animate real photographs much more reliably than AI-generated images, especially ones with complex organic textures from a LoRA. Not sure if this is a texture recognition issue.
Would love to hear if others have found solutions, especially for the length issue.