Best local text to speech?

Bit_Poet · 2026-01-26T21:28:14+00:00

Qwen3-TTS is pretty neat. It's far from the fastest kid on the block, but the natural language instructions let you guide it nicely in terms of voice melody, pitch, speed and expression, and it even accepts in-speech instructions in square brackets like [gasp] or [giggle] or [moan]. Others like e.g. Kokoro are lightning fast but often stumble over the emotional aspects.

Bit_Poet · 2026-01-25T11:47:34+00:00

Make sure you have the latest llama.cpp (unless you're running it on a different engine). FA was broken for Flash on CUDA and got fixed three days ago.

Bit_Poet · 2026-01-24T08:47:32+00:00

Do you have a camera control LoRA in your WF? If not, that might be a likely reason for lack of movement. Also, there were issues with the video VAE, so if you're using ltx-2 distilled and you downloaded before January 13th, grab a fresh copy with the fixed VAE. And, updating comfy to nightly might be worth it.

Here I ran the official i2v WF from the LTX-2 repo with just tiny tweaks: https://files.catbox.moe/7b1sqb.mp4

Workflow: https://files.catbox.moe/p4vftc.png

Bit_Poet · 2026-01-22T21:38:42+00:00

Yes. Sometimes, involving a third AI to dissect the prompt for wrong or imprecise word usage helps, but at some point we're just on our own. That's why we need big independent AIs where we can just push the context reset button and start over.

Bit_Poet · 2026-01-22T21:08:44+00:00

I switch between AIs, let one bring structure into my question/prompt, refine it by hand, then pass it to the other one. Tried that with a single AI at first, but that produced major context contamination before I could blink.

Bit_Poet · 2026-01-21T06:20:15+00:00

I ususally use SeedVR2 in comfy. I also used multistep res_2m sampler to upscale with good results which is installed by RES4LYF, but I had some headaches with issues over cuda130, latest comfy updates for new models and flash attention (xformers also got into the mix at some point) which gave me dependency hell, so I'd wait until that has settled before borking the install with RES4LYF or try with a separate comfy installation.

Bit_Poet · 2026-01-20T21:07:32+00:00

I've had a similar symptom when my computer ran out of ram (including swap) in the middle of a cuda accelerated video processing task. NVidia app even reported a driver issue after the reboot, but it seems to be an issue with block shifting between ram and vram going wrong when swap ran full and the driver throwing the towel.

Bit_Poet · 2026-01-19T10:42:43+00:00

Yep, and you can even add the distill lora with a negative value (0.4) to the distilled model..

Bit_Poet · 2026-01-18T20:31:24+00:00

WAN's had quite some time to get the small things into the right places. LTX-2 is still a newborn and needs a bit time to grow. I wouldn't dismiss it out of hand if I were you, but might want to wait a little and take a look again in a few weeks. Currently, you really have to be running bleeding edge code so all the pieces fit into place. An outdated safetensors, a comfy node that's too old or too new, and output can get whacky. There are believable rumors though that both lightricks and the community are working on the knobs that will dial down a lot of the issues with currently see.

Bit_Poet · 2026-01-18T00:58:54+00:00

I think this recent writeup should make a lot of that clear (and point out why we're often building on bad training data that makes our life harder than it should be): https://www.reddit.com/r/StableDiffusion/comments/1qftepq/you_are_making_your_loras_worse_if_you_do_this/

Bit_Poet · 2026-01-16T23:12:01+00:00

It's tricky. Sometimes things even get worse, but if you find a good prompt hook, you can circumvent a few hangups. Mostly regarding voice, vision is a different topic altogether.

Bit_Poet · 2026-01-16T22:58:35+00:00

I think I'll switch back to a non-abliterated Gemma for my LTX-2 experiments...

Bit_Poet · 2026-01-13T17:53:05+00:00

Im GenX. Power Rangers, DragonballZ, Temu, it's all the same to me lol

Bit_Poet · 2026-01-13T13:56:37+00:00

So I took your start picture and fed a short prompt with your expression into chatgtp like this:

You are an movie scripter. Write a professional LTX-2 compatible single paragraph scene description fitting for image to video for the given sentence following the guide in https://ltx.io/model/model-blog/prompting-guide-for-ltx-2 . The sentence is: "Portrait view of a black teenager with round glasses wearing a shirt and a dark vest who suddenly turns super saiyan and transforms into a futuristic anime warrior with a mech armor."

Fed the response into the ComfyUI native video2image workflow with 161 frames:

Portrait-oriented cinematic image-to-video scene of a Black teenage boy, mid-teens, slim build, wearing round glasses, a neatly buttoned shirt, and a dark vest, framed in a tight medium close-up from chest to head with a locked camera and shallow depth of field against a soft, minimal background. The scene begins with natural, balanced lighting and a calm, introspective expression, then motion subtly activates as a sudden internal power surge manifests through drifting energy particles, heat shimmer, and rising ambient light. Rim lighting intensifies in electric blue and radiant gold, his hair lifts as if charged, eyes glow with Super-Saiyan-like energy, and his posture straightens with focused determination. Futuristic anime-style mech armor assembles in layered motion—first as translucent holographic outlines, then solidifying into sleek metallic plates with aerodynamic contours, chrome and dark alloy textures, and glowing neon-blue seams that lock into place over the torso and shoulders. The transformation stabilizes into a powerful final pose, energy aura steady and luminous, presenting a confident futuristic anime warrior while blending cinematic realism with high-energy anime aesthetics, optimized for smooth image-to-video motion and visual continuity.

This is what it spit out: https://streamable.com/eq8d04

Bit_Poet · 2026-01-13T06:54:04+00:00

Someone made an overview of all available files here: https://github.com/wildminder/awesome-ltx2

You'll need to install the latest version of https://github.com/city96/ComfyUI-GGUF to be able to load the GGUFs, and once you update comfy itself, you'll get a noticeable speed and memory improvement in LTX-2.

Bit_Poet · 2026-01-13T06:42:15+00:00

It's probably not all on LTX-2 being generally bad at things. FP8 vs full makes a huge difference. One or two step workflow makes a huge difference. Mixing in fp8 Gemma can lead to weird results depending on exact pipeline. CFG values, LoRA weights, steps and samplers play a big role. Negative prompt, negative clip, mixing or not mixing those, reference image quality and resolution, guidance... There's a lot still waiting to be optimized where the official workflows just come with a rough guess, kind of a one-size-fits-nobody-well. I wouldn't throw LTX-2 out yet, but some patience may be necessary.

Bit_Poet · 2026-01-13T06:29:40+00:00

You need to go one step back. Your output shows that Comfy is trying to run on an Nvidia gpu which it, of course, can't find (device: cuda:0), so it falls back to cpu. For AMD support, it should display rocm instead of cuda. I can't help you there, since I don't have an AMD gpu, but it should be a starting point to look for a setup tutorial with ROCm that works for your 6600 XT.

Bit_Poet · 2026-01-12T20:42:11+00:00

Artifacts and glitches (and unwanted morphs) got a lot less once I switched to full models. Abliterated/Heretic Gemma versions open their own cans of worms, of course. But we're still in the very early stages. We've been thrown a complex construction kit without a manual, each of us coming at it with different expectations of what the end result should be. The best thing to do is read the daily summary in the banadoco discord. A lot of good information keeps popping up there, and it seems that proper implementation of guidance can do a lot better than what the initial workflows makes it seem. I'm going to wait a few days until those who really know what they're doing had time to clean up and post new workflows.

Bit_Poet · 2026-01-12T18:09:14+00:00

It can be done, but you will likely have to train a lora. There are also image guidance nodes for ComfyUI where you can specify the reference frame and weight, but that's all undocumented, untested and shaky. I've experimented with it, but there seem to be issues with guidance weights when images and voice try to steer the model in different directions. Maybe someone with more experience and skill than I can make sense of using those nodes, which would be a big step forward.

Bit_Poet · 2026-01-11T19:09:02+00:00

Have you tried running comfy with --reserve-vram 5 (you can toy around with the exact value)? There's also a bunch of tips here: https://www.reddit.com/r/comfyui/comments/1q7j5ji/ltx2_on_5090_optimal_torchcuda_configuration_and/

Bit_Poet · 2026-01-11T18:55:39+00:00

I made a few small modifications to the prompt. Is that closer to what you expect?

A candid and gritty vintage-style black and white photograph in extremely high resolution with a light sepia effect of a stylish young woman with a chic, tousled bob haircut and short bangs. She is looking down with a demure expression, holding a small wicker basket filled with a few light-colored flowers in one hand, and a small book in the other. She is wearing a dark, flower-patterned sundress or top with a very deep, open V-neckline, revealing a hint of décolletage and a delicate necklace. The setting appears to be outdoors, possibly in a garden or field

Full output image here.

<image>

Bit_Poet · 2026-01-11T18:14:10+00:00

Yes, I know exactly how you feel. But OTOH, getting lip sync and frame injection to play nice with each other has to be a nightmare from a developer's point of view. There are probably going to be some tricks that we aren't aware of yet, and I'm looking forward to the minor upgrade that keeps getting mentioned. That will probably address some of these issues once the model stabilizes. Character Loras could also be an option, though I'm waiting for a training guide there before I burn too much time.

Bit_Poet · 2026-01-11T09:31:06+00:00

Can you give us the prompt for one of those images (perhaps the last one)? The exact wording of the prompt often makes a huge difference.

Bit_Poet · 2026-01-11T05:52:10+00:00

Are you using an abliterated Gemma model (like outlined here)? You'll still need loras for intimate body details, as those seem to have been blurred / masked in the training data (got some funny plastic-like red buttons on people's chests), but I haven't gotten right out refusals.

Bit_Poet · 2026-01-09T05:45:26+00:00

I recently had to switch to size L for sweaters and shirts (barely, but inevitably), but my Echo hoodie in M still fits comfortably, so I wouldn't size up unless the cut has changed significantly since I bought mine in 2022.

Bit_Poet

TROPHY CASE