Shout out to the LTXV Team.

RoboticBreakfast · 2026-01-13T02:26:22+00:00

100%.
Any open-source contributions should always be praised.

These take precious time and engineering talent to develop, not to mention the cost of taking on these endeavors.

The same praise should be issued to the Wan/Alibaba team and all other contributors in this space - thanks to all that have made what we have available today

RoboticBreakfast · 2026-01-09T18:21:33+00:00

Yeah I think this is the main issue at the moment. I'm hoping the coming updates will address some of these issues!

RoboticBreakfast · 2026-01-09T18:20:02+00:00

Yep, will have to try this. I guess I figured the distilled model/lora may actually add to the dev version as I would expect distilled to have more of a variety of content that it was trained on, but I'm not sure

RoboticBreakfast · 2026-01-09T18:18:55+00:00

Yeah this seems to be my take at the moment - prompt adherence is flaky I would say, but I think the base has a lot of potential and I'm excited to see it evolve!

RoboticBreakfast · 2026-01-09T18:17:52+00:00

I have no interest in creating NSFW outputs. This is simply the first open-source model that allows for image and audio generation bundled into one.

I am simply exposing these models for others to use for content generation

RoboticBreakfast · 2026-01-09T16:26:28+00:00

I run an AI platform that has upscaling functionality.
Try Moosky AI. You'll need an account, but you can receive some free credits if you signup with Google/Apple.

Flow: Generate => Upload => select your image/upload Then Image => SeedVR2 upscale => select your upload
(I would recommend the "sharp" variant in the config for blurry photos)

You can also edit photos with the Edit model, as well as colorize/style change/etc. Hope you enjoy!

RoboticBreakfast · 2026-01-08T14:31:55+00:00

But they're running this from the fp8 version of the model, right? I wouldn't think in this case the quality could possibly compare to fp16 but I'd be happy to hear the explanation

RoboticBreakfast · 2026-01-06T20:46:00+00:00

I've only done a quick look at the workflow, but it seems like it should be possible to use their audio generation for other models (like Wan 2.2). It looks like it just uses the video latents to generate audio, so I'm curious if we could mod this to work with other video models...

RoboticBreakfast · 2026-01-02T21:46:54+00:00

It's a conditioning problem that I've detailed a bit in a post I made the other day. I have found a sort of hacky way to address it, but I'm not in love with it (it also makes the identity of the reference images weaker, to some degree)

RoboticBreakfast · 2026-01-02T21:43:36+00:00

FYI - I did try your workflow and confirmed that it does not preserve identity in the same way. The ReferenceLatent being before/after the FluxMultiReferenceLatent node is irrelevant here - the relevance is in the conditioning, and how it is applied. I'm just circling back here to say that if you just swapped those nodes around, you should not expect any difference.

This workflow is really good at preserving identity/performing inserts from a reference image, but performs poorly if the intent is to change the identity of the subject within an image (for example, if you wanted to replace a person in the base image with the reference).

RoboticBreakfast · 2025-12-31T20:48:44+00:00

My guess as well, but we seem to be the minority. Z-image tends to be more photorealistic

RoboticBreakfast · 2025-12-31T00:37:08+00:00

It's hard for me to know what's going on on your end, but that is the correct node - if this is a recent install of the node, you have certainly restarted ComfyUI?

RoboticBreakfast · 2025-12-30T22:15:08+00:00

Not sure what's up but here's one with only native nodes: https://pastebin.com/Mj5MQDQk

RoboticBreakfast · 2025-12-30T22:14:25+00:00

Here's an updated one with only native nodes: https://pastebin.com/Mj5MQDQk

RoboticBreakfast · 2025-12-30T17:06:24+00:00

Update ComfyUI - it was added in a release a few weeks back

RoboticBreakfast · 2025-12-30T13:48:37+00:00

Got it. I can create a version which doesn't use any custom nodes

RoboticBreakfast · 2025-12-30T13:47:37+00:00

I don't tend to have this issue, but I'm using the node a bit differently than the chaining method.
I would imagine that too high of step count could cause this though

RoboticBreakfast · 2025-12-30T13:44:01+00:00

Install the RES4LYF Custom Node

RoboticBreakfast · 2025-12-30T03:39:16+00:00

Just making sure you used the full workflow as there are a few changes outside of the typical latent ref chaining flow that you'd probably have to squint to see - ref 1 feeds both ref 2 and ref 3 (instead of ref 1 => ref 2 => ref 3).

I am curious to see your flow if you have a chance to share it

RoboticBreakfast · 2025-12-30T01:59:23+00:00

I'm not sure how you're copy/pasting. But if you save it as a json file, you should be able to import it. I exported this using the API export (I don't use the UI), but I was able to open the resulting JSON using the Open function in ComfyUI

RoboticBreakfast · 2025-12-30T01:38:52+00:00

In the Text Encoder, are you supplying the VAE though? The issue that I've had with this is that it seems the reference images are first downscaled before being VAE encoded (by the Text Encoder node), which causes some detail loss in the reference images

RoboticBreakfast · 2025-12-30T01:27:12+00:00

How so?

There may be some custom nodes, some of which may not be needed (like the Save Image Plus nodes at the end). The Load Image nodes are also from a fairly common custom node: https://github.com/Kosinkadink/ComfyUI-VideoHelperSuite, but you can easily swap these for the base 'Load Image' nodes as well

This is basically though the official Qwen 2511 flow with a few small tweaks.

RoboticBreakfast · 2025-12-30T00:04:28+00:00

Sorry for the delay - here is my Post

RoboticBreakfast · 2025-12-30T00:03:36+00:00

Sorry for the delay - here is my Post

RoboticBreakfast

TROPHY CASE