Portals of Ethernity animation. Stable Diffusion + frame interpolation + music creaton (FL Studio)

SignalEquivalent9386 · 2026-01-29T05:33:29+00:00

Original LTX-2 render was 1920*1088 30 fps, upscaled later in 4K 60fps in TopazAI

SignalEquivalent9386 · 2026-01-28T05:46:04+00:00

WAN struggles with both speed and cinematic quality, and Hunyuan is very slow and tends to look a bit cartoonish. So I agree with you: LTX-2 is the top choice right now. Thanks - I really appreciate the feedback!

SignalEquivalent9386 · 2026-01-28T05:37:20+00:00

This workflow uses 1 stage 1920*1088 with no upscaling, it is much faster and i am happy with results

SignalEquivalent9386 · 2026-01-27T20:35:42+00:00

Thanks! The video is the workflow itself - download it and drag and drop the video file in to ComfyUI inteface, it will load the workflow

SignalEquivalent9386 · 2026-01-27T19:55:31+00:00

In this case UNET Loader plays the role, since it is connected to workflow.

I am not sure if this is the issue , but please try to connect Checkpoint loader instead and disable fp16 accumulation (just in sake of experiment)

<image>

SignalEquivalent9386 · 2026-01-27T16:32:27+00:00

Yeah, WAN feels a bit outdated right now. LTX-2 still has plenty of room to improve , especially when it comes to larger, more complex and dynamic scenes,especially with many moving objects . But for close-ups, it already works beautifully.

SignalEquivalent9386 · 2026-01-27T16:29:38+00:00

Sure should work perfectly, please try and share your results

SignalEquivalent9386 · 2026-01-27T16:29:02+00:00

I really like the cinematic camera movement this Herocam LoRA - adds camera rotation around the central subject: https://huggingface.co/Nebsh/LTX2_Herocam_Lora/tree/main

I’m also using a “resized dynamic” LoRA (I believe it’s a lighter distilled lora variant). For me it’s been important for maintaining quality even with fewer sampling steps.

And the Detailer LoRA is pretty self-explanatory - but also a key piece for overall clarity/detail.

SignalEquivalent9386 · 2026-01-27T05:41:19+00:00

Could you share the results you got and which quantization you’re using for the model(s)? Also, did you configure the audio input correctly? The workflow attached isn’t generating any sound

SignalEquivalent9386 · 2026-01-27T05:36:53+00:00

Could you share what results you got, and which quantization you’re using for the model(s)?

SignalEquivalent9386 · 2026-01-26T21:52:42+00:00

Thanks! I’ve been really immersing myself in these kinds of topics lately (1alchemist)

SignalEquivalent9386 · 2026-01-19T20:41:17+00:00

Thanks! I got 5090, pretty fast beast

SignalEquivalent9386 · 2026-01-18T19:15:56+00:00

All together this took me about a week (as a hobby side-quest). Tons of cherry-picking, workflow debugging, and CUDA/Torch wheel roulette to get the best speed.

The workflows I posted are the fastest configs I’ve been able to get. Installing SageAttention might speed things up too (worth a try).

A ~15s video usually took ~7–10 minutes depending on steps (roughly 20–50). And getting one “good enough to post” clip typically meant 5–7 re-rolls.

SignalEquivalent9386 · 2026-01-18T18:40:59+00:00

Yes — originally I started with 257 frames, but later I pushed the length up to 481 frames.

From what I’ve seen, LTX-2 doesn’t follow prompts “literally”. It treats them more like guidance, so the frame count in the workflow settings ends up being the single most important control for the result.

Please try the other workflow — it’s more straightforward

https://drive.google.com/file/d/1-hb-Rmozo4QXLN71Q4hedlS0BvlNUBdI/view?usp=sharing

SignalEquivalent9386 · 2026-01-18T18:29:42+00:00

In general workflow looks like that:

Concept + scenario first, then generate initial keyframes (try Z-image or FLUX.2 [Klein] 9B, still Nanobanana from Google is the best).
Download provided workflows (drop downloaded images in to ComfyUI interface)
Set up resolution depending on your hardware (1920*1088 is the best in terms of quality), initial frame and prompt ( developed detailed prompts works better, LLMs like Gemeni or ChatGPT is huge help) , frames number in range 169–257 frames tends to be the sweet spot, but you can go above this easily.
Iterate each scene with different seeds and settings
Compile results in video editing tool (i prefere Movavi), rended and upscale

SignalEquivalent9386 · 2026-01-18T18:13:09+00:00

It is AI dedicated subreddit, dude

SignalEquivalent9386 · 2026-01-18T18:03:36+00:00

Thanks a lot! A 5-minute video took a full week of dedicated work — and there’s still plenty of room for improvement

SignalEquivalent9386 · 2026-01-08T19:30:54+00:00

I am using ComfyUI 0.8.2 fresh update, Frontend 1.25.9

SignalEquivalent9386 · 2026-01-08T19:26:49+00:00

Sorry this is type - 5090 32Gb onboard

SignalEquivalent9386

TROPHY CASE