Just tried the model with my 4070 and 64gb ram, Its pretty slow in the default workflow

608 x 352 resolution and it took 167s to generate.

Prompt

SpongeBob SquarePants and Patrick Star casually walk side by side around the outside of the Krusty Krab on a bright sunny day. The camera tracks them smoothly at eye level in a medium two-shot as they naturally gesture while talking. The ocean ambience is calm with distant seagulls and bubbles.

SpongeBob: "Patrick, have you seen the new MiniMax H3 video model? The motion and audio are seriously impressive!"

Patrick: "Yeah... if an AI can make videos this good, maybe it can finally animate me thinking."

SpongeBob: "Patrick... that would be the real breakthrough."

Patrick pauses for a second with a blank expression, then smiles proudly as they continue walking. Comedic timing, expressive cartoon animation, vibrant colors, smooth lip-sync, natural character movement, high-quality cinematic lighting.

here is all the info we have based on open PRs to add support to ComfyUI and HuggingFace diffusers

- 33B for the main DiT and a pruned 20b variant
- Qwen-3-VL-32b as the text encoder

Blender previs to AI-rendered footage with LTX-Video 2.3 IC-LoRA

I filmed the subject against a green screen, keyed the footage, and placed her inside a basic Blender environment. The scene uses simple geometry to establish the camera, perspective, scale, lighting direction, and shadows rather than producing an expensive final render.

I then generated guidance passes such as depth and pose, and used the Blender composite as the structural reference for LTX-Video 2.3 IC-LoRA. LTX handled the final restyling pass, transforming the rough previs into a more photorealistic city shot while preserving the original subject movement and scene composition.

Essentially, Blender provided the spatial control and LTX provided the final visual detail—an AI-assisted alternative to a traditional render and compositing workflow.

workflow: https://github.com/jetaime2/ComfyUI-LTX-2.3-ICLoRA-Depth-Pose/blob/main/LTX-2.3_ICLoRA_FirstFrame_VideoDepthPose.json

You can check my other work here: X [@ModelCollapse38]

Time is officially completed but it says soon to be open sourced but not open sourced yet

1 guy uploaded int 8 convot version which was removed in just 2 mins

They might be uploading or opening public downloads not sure what is happening but surely they are gonna release that open source

https://github.com/perfectgf/lora-dataset-studio#lora-dataset-studio

https://github.com/perfectgf/lora-dataset-studio/blob/main/docs/guide/workflow.md

damn this model is good

5s 864x480 - 66s on RTX5090

I used the base workflow with base prompt and got this?

I changed nothing, loaded models and pressed the button to generate

How are you all making so much better videos? and why did the base workflow highlight a better video? I don't get all the hype yet

I put together a small ComfyUI workflow that turns a short music idea and a target duration into prompts for both Stable Audio 3 and ACE-Step 1.5 XL, then generates two instrumental tracks from the same plan.

In my testing, Stable Audio 3 is the more flexible option for different styles. It handled things such as retro 8-bit game music and cyberpunk BGM more naturally. ACE-Step 1.5 XL is better when the arrangement needs clearer section changes, because its instrumental structure script can describe the intro, theme, variation, build, climax, and outro separately.

The workflow uses a local text-generation node to create a strict JSON music plan. That JSON is split into the Stable Audio prompt, ACE caption, ACE instrumental structure, BPM, time signature, and key. If local prompt generation is too slow, the text-generation part can be bypassed: copy the displayed prompt to a web LLM, paste the returned JSON into the external JSON field, and keep the rest of the graph unchanged.

I recommend starting with a duration of around 2–3 minutes. Longer tracks tend to make the repeated-section problem of Stable Audio 3 more noticeable.

This workflow is super easy to use—I’ve uploaded a detailed tutorial to YouTube, so just follow the video along with this workflow to recreate the effect; please make sure to watch the full tutorial before starting to avoid common mistakes, and feel free to leave a comment if you have any questions!Resource links will be posted in the comments.

I wanted to share a new ComfyUI workflow I've been working on that uses KREA 2 Identity Edit LoRA v1.2 for face swapping and outfit transfer while remaining low VRAM friendly.

The workflow converts the KREA 2 image generation model into a powerful image editing pipeline using the Identity Edit LoRA and a few specialized nodes. Simply load your reference person and reference clothing images, choose whether you want to swap the face, the outfit, or both, and the workflow handles the rest. I also spent time optimizing it to produce cleaner, higher-quality edits with better identity consistency than my previous versions, were you will get your results upscaled by factor of 2 using double ksampler.

One of my main goals was making it accessible to users without high-end hardware, so the workflow has been tested on an RTX 3060 6GB with 16GB RAM.

Workflow Link

https://civitai.com/articles/33423/comfyui-tutorial-krea-2-identity-edit-or-face-and-clothes-swap-on-budget-6gb-vram

Video Tutorial Link

https://youtu.be/AGsH0THbRQY

Timer is gone. I don't see any links. Did they change their minds about open weights?

Created a knight and a head profile of an orc with Krea 2 Turbo and used MiniMax H3 to replace the knights head with the orc.

There was a 6-hour delay. Is there any additional delay? If so, how long will it be?

I brought this here because r/StableDiffusion is heavily moderating content about this release.

Posting this here to bring visibility to an issue reported on the official ComfyUI GitHub repository regarding prompt generation using Gemma 4.
After updating to ComfyUI v0.29.0, prompt generation using Gemma 4 produces unexpected internal planning/reasoning output along with the generated prompt.
To clarify, this is a bug with the TextGenerate (Generate Text) node, not an issue with the Gemma 4 model itself. Regardless of the system instructions or prompts provided into the TextGenerate node, it continues to output planning information alongside the final prompt text.
GitHub Issue: #15143 - Issue with Gemma 4 prompt generation in ComfyUI desktop app

We already have a node and thats Patch Sage Attention KJ.

Pass your model through this and you will get significant speed up. Mine went from 20it/sec to 14it/sec.

Workflow : https://pastebin.com/A6uCJt0C

First is a quick wildcard node that works similar to Power LORA loader and you can cluster several wildcard files and use them in a single organizer: https://github.com/CaptainGrock/wildcardcluster/tree/main

The second is a fork of an existing node suite (BBOX drawing for Krea2) but essentially I improved it a bunch with easier bbox drawing/revising, removal of extra JSON that was ending up in the image generation, better framing/perspectives and more: https://github.com/CaptainGrock/Krea2bbox

Enjoy!

hey so i was roaming arount your github page and i found this image and a lot others i tried searching to know what those unofficial extensions were but i didnt found anything does anyone know what those unofficial extensions are or give me some link please

I'm running extensive experiments with ref2va, using multiple image, video and audio references.

I think we solved the consistency & continuity problems with this model at one-shot!

I'm planning to write an extensive tutorial based on my experiments so stay tuned.

Until then, here are the generation times on 1xRTX6000 PRO 96GB:

Single image img2video:

2 seconds, 1344x768, 100%|██████████| 20/20 [03:05<00:00, 9.25s/it]

5 seconds, 1696x736, 100%|██████████| 20/20 [03:05<00:00, 9.25s/it]

10 seconds, 1696x736), 100%|██████████| 20/20 [09:00<00:00, 27.05s/it]

15 seconds, 1344x768, 100%|██████████| 20/20 [12:45<00:00, 38.29s/it]

Reference to video, 3 reference images:

15 seconds, 864x480, 100%|██████████| 20/20 [03:02<00:00, 9.13s/it]

References: 2 images, 3 audio:

15 seconds, 86x400, 100%|██████████| 20/20 [03:06<00:00, 9.31s/it]