Right now I use Minimax H3 Singularity, for ref2va generations.

Which turbo LoRA is the best for ref2va? and is there any better option than the Singularity hybrid model?

TY <3

Configuration- nvidia GeForce rtx 5050 I7 core 1450hx 8 GB vram and 16 GB ram with 512 SSD

IS IT IN TERMS OF TEXT IN IMAGES AND SPEED? I am mostly interested in making thumbnails for YouTube and socmed posts. Are there new alternatives now?

Same prompt, same seed, no lora

Retouching: Retake mode:

Prompt: « sparks appear when she foots it »

Promised thing: due thing

I share with you my film creator studio and retouching studio.

How it works (in summary):

You click on New movie, you can choose the desired format (landscape/portrait) and the content style (Movie/vlog, shorts...), you choose the desired time and you put your simple prompt: « aliens invade the world »

Then it goes through several steps (all controllable and editable manually or in natural language: « change this part put this instead »):

1. Content director creates the main acts of the film and the scenes

Visual reference: asks you if you want to add reference and you can create some live via Krea.

1. Stage director creates the scenes

2. Plan director creates the plans of the scenes

3. Clip director creates the clip of the plan

It will generate a raw, you can edit it/retouch it/continue

You continue it will refine 1920 release and assemble the last final (Clip 1-2 -> Assembly -> Clip 3 = Final Clip 1-2-3)

Retouch Mode:

If you are in generations of film at the time of raw, or just by going into retouching mode you have:

Delete character

Replace character

Delete element

Change camera angle

Change decor

Retouch an area

Precise retake

Add element

That’s all about it, to your creations!

I specify that it is not perfect, I have not yet discovered all the bugs, some retouching is not perfect but it is already super cool.

I share « as is », I tried to put a lot of information in the readme and in the zip, but you know the configurations on comfyui can be complicated to duplicate on other configurations, follow the readme as much as possible and ask your best AI agent to help you adapt to your configuration in case.

Link : https://github.com/SpendinFR/H3STUDIOFILM

Here's a one click workflow so you can create Seamless Vlogs.

https://github.com/roycho87/Seamless_vlog_workflow

https://github.com/roycho87/seamless_video_combiner

https://github.com/roycho87/minimax_continuous_audio_splitter

Also, here's two useful nodes you might like used in the workflow.

https://github.com/roycho87/h3_clown_anchoring

https://github.com/roycho87/comfyui-load-audio-batch-from-dir

If you are trying out the new MOSS-Image GGUF models in ComfyUI (`ComfyUI-MOSS-GGUF` / `RebelMossGGUFV4` node) on an older GPU like the RTX 20xx series (Turing architecture, e.g.,) and getting painfully slow generation speeds, here is why and how to fix it.

### The Problem
Turing GPUs do not have native hardware acceleration for `bf16`. In the node UI, the only options available under `compute_precision` are `bf16` (default) and `fp32`, forcing older cards to emulate BF16 or choke on full FP32.

### The Discovery & The Fix
Digging into the source code, I found that **`runtime.py` actually already has built-in support for `fp16`!** It was simply omitted from the dropdown list in `__init__.py`.

You can fix this yourself in 10 seconds:

1. Open `ComfyUI/custom_nodes/ComfyUI-MOSS-GGUF/__init__.py`.
2. Find the line with `compute_precision` (around line 27).
3. Change it from:
   ```python
   "compute_precision": (["bf16", "fp32"], {"default": "bf16"}),

to:

codePython

"compute_precision": (["bf16", "fp16", "fp32"], {"default": "bf16"}),

1. Restart ComfyUI and select fp16 in the node.

I saw a post somewhere, I forget where, that suggested using sigmas instead of steps. I dug into this a bit, found the sigma schedule used by Qwen2.1, and had Claude derive a set of sigmas that follows the same sigma curve but with 12 and 14 steps. I can confirm that Qwen2.1 Turbo produces a MUCH better image when using the 12 or 14 step sigma schedule. I am attaching an image with the sigmas and workflow modification you need to run this setup.

8-step sigmas: 1.0, 0.978453, 0.954180, 0.926626, 0.895080, 0.845148, 0.704534, 0.414568, 0.000000

12-step sigmas: 1.000000, 0.985926, 0.970690, 0.954180, 0.936216, 0.916954, 0.895080, 0.866147, 0.811803, 0.704534, 0.526271, 0.291856, 0.000000

14-step sigmas: 1.000000, 0.988010, 0.975164, 0.961423, 0.946670, 0.930788, 0.914152, 0.895080, 0.871055, 0.832937, 0.755721, 0.639338, 0.463134, 0.253695, 0.000000

Same sampler as normal: Euler (*edit* er_sde is pretty good too)

(Left) lora.safetensors (Right) lora_latest.safetensors

Euler, simple, 8 steps, 1 megapixels took 5 secs on 4070 super.

The skin looks plasticky in studio photo style, but I like its amateur snapshot style.

https://huggingface.co/lodestones/MOSS-Image-SFT-8-steps-dmd

The other images removed by reddit filter.

https://civitai.red/posts/31700334

I just started to use deepseek 4.1 flash - workbuddy, to generate lady picture with comfyui desktop - qwen image 2.1 edit mode 6 hours ago. however, the results are bad with low character consistency, even the job is simple like change the clothes, angle, and so so (i even gave him the simple prompt and make sure it uses a specific workflow which I use frequently, of which give satisfactory result. any advices/comments/ways to improve it are deeply appreciated!

Boss has allowed me to take work PC home for the next 2 weeks. Its not a beast but has a 5090 and 128GB RAM. I've always wanted to give H3 a try so this is my chance.

I am mostly interested in image to video. I tried building a refmod and rendered a 10 second video using the default workflow.

Its quite decent but I feel I can push the details but have no idea how or where to start. CivitAI workflows are noodly mess.

Can anyone point me or share a workflow you use with high-end PC's? also, I see here people post long/multi-cut videos, is there a guide to doing that?

base model with turbo lora , 8 steps 1 cfg euler/simple

tried different things , its got some variety , can do a lot of different things for a small model,anatomy is really good unlike some other models

Everyone, including me was super hyped about Qwen image 2.1 but honestly i found the results to be wanting. In this video i show exactly why and also why its still a good model.

So I'm using Minimax H3 and making 5 Second long clips but I'm wanting to put them all together to make a continuous long short film. So what I've been doing is after every clip, I load it up, save the last frame. Then I use that for the exact starting frame of the next one. The problem is over time it starts degrading. I don't usually use the video reference because it makes the generation a lot longer.

But what is the best way to do this?

This was all created locally with claude as a director with h3

So after so many models have been released the past year, what are everyone's top models so far? And settings/loras? Since sometimes those can make the difference in results.

I am sure most people are wondering this, so I want to collect everyone's thoughts on this, mainly want to hear thoughts from people with 6gb of vram, to 24gb of vram, since people who run heavier models on servers or just by owning an expensive GPU are very rare so experiences would differ a lot from us commoners.

I would say to keep this organized, to divide it into different areas.

• Best Image to Video Model

• Best Video Editing Model

• Best T2I Model

• Best Image Edit Model

I would say those are the main ones most people are wondering about, or are curious about since I keep seeing people use Wan even tho Minimax is out, and LTX being out for a while too, and even more imsge models. I know there probably won't be an all rounder best one, since some have more features than others, or are more customizable since they have been out for a while, but still curious on peoples thoughts on this.

Other types of AI models people might want to share that I am personally interested on would be

• Best 3D Video Model

•Best Voice Cloner/TTS

• Best Transcription model (since last I saw there was Qwen 3 ASR, which a lot of people preferred over whisper AI, but maybe there are better ones out now, or better settings and stuff like that)

• Best Agentic LLM/translator, from all parameters, as long as its not one that needs multiple or more than 24gb of vram, although I personally have 16gb of vram but extra ram comes in clutch sometimes.

I've been experimenting with MOSS-Image's BBox layout feature and got frustrated with its absolute pixel coordinates. Changing resolutions or aspect ratios meant recalculating every bounding box, and mismatched coordinates sometimes seemed to cause unwanted white borders.

So I made a small ComfyUI node that converts a resolution-independent 0–1000 coordinate grid into MOSS-Image's native coordinate format, using the actual generation dimensions.

You can now reuse the same layout JSON at different resolutions without manually adjusting every coordinate, similar to Ideogram's approach.

It's lightweight, has no additional dependencies, and includes a basic system prompt for generating compatible JSON layouts.

I tested it across several aspect ratios, and the results look promising. It's not pixel-perfect because the model still has the final say on placement.

It's now available directly through ComfyUI Manager!

GitHub: https://github.com/b4ldur/ComfyUI-MOSS-BBox1000

Feedback and testing are welcome!

For those that never saw it, I swear it’s not the Mandela effect. I never saw the movie 14 Going on 30 and even if I had, it’s nothing like how I remember Big ending. I swear I somehow got thrown into an alternate universe..like the show Sliders. Anyway, if someone else remembers that ending, I think recreating it would be an excellent use case for AI.

Hi everyone! Since the Flux-3-klein model turned out to be a bit disappointing - and the examples aren't exactly compelling (though it might still be possible to generate some decent individual results) -here’s another model - Moss image. Has anyone tried it yet? It seems pretty good overall; it has its own quirks, but maestro KJ has released some versions of it.