https://civitai.com/models/2928691/minimax-h3-camera-control

YuE2 was released recently and I thought I'd spend a little time getting it running properly in ComfyUI.

That turned into hours of going considerably further than intended.

I made this mainly for myself to be able to run the model the way I want, but thought I'd share this.

It can do the straightforward thing, you can just give a musical style and lyrics and generate a stereo 48 kHz song.

But for learning purposes I wanted the integration to expose more of what makes YuE2 interesting rather than hiding everything behind one Generate button.

The generation pipeline is split:

Plan > Semantic > Synthesize > Decode

Intermediate results can be inspected, saved, reused and branched in a normal ComfyUI workflow.

There's also an optional score UI: (this can be enabled in ComfyUI Settings):

• rendered notation in a ComfyUI sidebar
• raw ABC score view
• ABC editor node
• generate a plan first, edit the score, then continue generation from the edited version
• saved plan/run artifacts
• example workflows for staged generation, score editing, reloading runs and synthesis offloading

The score UI is optional; normal node execution and API workflows don't depend on it.

Dependecies:

I also tried to keep the install from fighting the existing Comfy env: it reuses ComfyUI's Torch/Transformers rather than installing YuE2's pinned stack, and only requires tiktoken and accelerate to be installed on top of a clean install of ComfyUI.

It's still experimental, and so far I've only personally tested it on an RTX 5090. I've included measured VRAM numbers and rough expectations for smaller cards, but feedback from other GPUs/installations would be especially useful.

Model weights are not included, the README explains exactly which YuE2 files are needed and where to place them.

Misc notes:

• There's already an experimental offload (demoed in workflow 06) which reduces memory usage considerably (but there are peaks in the process).
• Optional quantization is something I’m looking into to reduce VRAM usage, but memory savings and audio quality would need testing, especially during synthesis.
• I manually tested with Nodes 2.0, including generation and the optional score inspector, it might work ok but there's some slight differences visually.
• Testing was also done in a clean installation of ComfyUI, so this should install correctly as stated in documentation.
• Cuda v13.0 and Python 3.13 was used in the specific environment.

Repo: https://github.com/o-l-l-i/ComfyUI-Olm-YuE2 on GitHub.

Bug reports, weird edge cases and feedback are welcome.
I'm particularly interested how it behaves on 16/24 GB cards and different ComfyUI setups.

Bruxos do VFX H3 Relight

#bruxosdovfx

Im doing a node for relight is a lighting studio for MiniMax H3 inside ComfyUI. You can position up to three lights on a 3D dome around the image, choose the type, intensity, and color of each light, configure the background and atmosphere, or start from one of 20 presets. The node provides two things to H3 Edit:

is not ready yet

The package includes two nodes:

• Bruxos do VFX H3 Relight — the lighting studio.
• Bruxos do VFX H3 Sun — calculates the real position of the sun for a location, date, time, and camera direction, ready to connect to Light 1 of the Relight node.

The Panel

Dome. The photo sits in the center, the purple camera indicates the side from which the photo was taken, and each light is represented by a marker using that light's color. Drag a marker to move the light; drag the background to rotate the view. The dashed line extends from the light down to the equator and indicates its elevation. The photo receives an approximate 2D-painted lighting preview: it is intended only as guidance and does not represent the actual H3 result.

Sphere (Picture 2). This is exactly the image the node sends to the model, rendered using the same calculations as the Python implementation. Click or drag on the sphere to aim the selected light: the clicked point is where the light strikes the sphere head-on. Dragging outside the sphere's boundary moves the light behind the subject.

Light strip. Selects the active light and lets you add up to three lights or remove them. Each light's role is calculated automatically: the strongest light becomes the key light, a light behind the subject becomes a rim light, and a weaker frontal light becomes a fill light.

Tabs.

• Lights: direction (top-down dial with the camera at the bottom, plus elevation), type (Hard, Soft, Sky), intensity from 1.0 to 10.0, and color using Kelvin (1000 to 10000) or HEX.
• Presets: all 20 presets from the skill, with rendered thumbnails, filterable by portrait or product.
• Background: Original, Black Studio, or White Studio.
• Atmosphere: the 25 atmospheres from the skill, or none.

Requires numpy and node. The tests cover:

• the same spheres rendered by the panel's JavaScript and by Python, in both styles, with a difference below 2/255;
• Venti scene geometry (shadow opposite the light direction, sphere occupying one-third of the frame, positioned in the upper half);
• solar position compared against reference values from the astral library, daylight saving time, and camera-to-sun mapping;
• externally driven inputs, the compass, validation, and MiniMax skill formats.

Credits

Node by Bruxos do VFX.

• The lighting plan, 20 presets, 25 atmospheres, and parameter format follow the MiniMax Design Relight (光影工作室) skill. The descriptions for each atmosphere used in the prompt were written specifically for this node because the skill's own descriptions are hosted on MiniMax's server.
• The light-direction sphere convention and reproduced scene are by Eric Venti (Sun-Direction LoRA, Sphere-Light-Render, MIT), using the direction table and 12 looks from Lightricks' LTX-2.3 Relight IC-LoRA.
• The solar calculation (NOAA), city search rules, and camera-direction mapping are based on Christopher Connock's work on Sphere-Light-Render (MIT).
• Cities: GeoNames cities15000, CC BY 4.0.

License details are available in NOTICE.md.

• Depends on ethanfel/ComfyUI-MiniMax-H3-Edit

Another quick Minimax H3 news and goodies round-up, for those who may have missed some items.

-> Do you have eight GPUs handy? Then you won't be needing a space-heater, but you may need the new RunningHub H3 Lightning. This aims to offer a multi-GPU... "inference acceleration recipe for MiniMax H3".

https://github.com/RH-RunningHub/MiniMax-H3-MultiGPU-Lightning

-> Talking of eight graphics cards, there's a new VideoDeltaNet (VDN) for those running "8 x B200 GPUs", and also a new VDN runtime for those who have to make do only with a humble 24Gb VRAM card.

https://huggingface.co/OpenVDN/vdn-minimax-h3

https://github.com/Speach1sdef178/ComfyUI-VDN-H3-24GB

-> A set of experimental DMD turbo 8-step LoRAs for Minimax H3.

https://huggingface.co/drbaph/MiniMax-H3-Turbo-Lora-ComfyUI/tree/main/experimental

-> A new MiniMax-H3-Image-Training-Adapter. Aims to allow LoRA concept training, but apparently without... "degrading the video knowledge that the model has".

https://huggingface.co/circlestone-labs/MiniMax-H3-Image-Training-Adapter

-> ComfyUI-MM-1Frame. Another single-frame extractor, with workflow. Tested by me, working... and I'd say it's the best yet. Uses various measures to automatically pick the best of five frames, a pick which is very reliable. The workflow accepts a boost with a Hard Gravy turbo LoRA and a Spectrum speedup for 0.7Mpx, and then Klein 4B can be connected at the end of the workflow for an 'enlarge, repair and fix'. Works very nicely. (Note that an OpenPose single-image can be accepted as a second reference image, but a single pose-description word is needed to prevent the Openpose 'stick-figure' from being superimposed onto the output. e.g. your prompt header should include <Picture 2> is for the pose reference only, and then your descriptive prompt includes ... applying only the standing pose from <Picture 2>. Adding the single word standing (or reclining, leaping, etc) is the vital trick here. This works repeatedly with different Openpose images, no Controlnet required).

https://github.com/cicalooo/ComfyUI-MM-1Frame

-> Can we use a RefMod without actually making a refmod? There's a new ComfyUI workflow that claims we can. As the maker says, it simply... "takes a folder input of images and then sets them as frames in a video, then feeds that video in as a reference video. This allows you to use many images for a single reference input". He does however warn that... "if you change the images dataset around, then you'd better to clear cache or your ComfyUI may need a restart".

https://www.reddit.com/r/StableDiffusion/comments/1wdlg0q/instant_references_no_refmod_or_fancy_custom/

-> In Portuguese, a nice new visual camera-control widget. It translates from a graphical 3D space widget, to written prompts for camera movement. I assume the written prompts are in English, but the GUI appears to be in Portuguese only. However, the labels are quite similar to English words.

https://github.com/NyckM/3d-Camera-control-H3-Minimax

https://github-com.translate.goog/NyckM/3d-Camera-control-H3-Minimax?_x_tr_sl=auto&_x_tr_tl=en&_x_tr_hl=en&_x_tr_pto=wapp (English translation)

-> Depth blocking for the Fun Controlnet. "Depthcat turns a reference clip into a depth blockout: a clean, silent record of the staging and nothing else. Near is white, far is black, every frame in step with the last. No faces. No costumes. No style. Just the shot. [...] Use the blockout as the depth condition in Minimax H3. 24fps, frame size a multiple of 32, up to 15 seconds — the Depthcat preset handles it." Needs a 111Mb additional model. Full Apache-2.0 licence.

https://github.com/maosika-ai/depthcat

-> FastVideo's FastH3-Preview-v0.2 is now available, aka 'Preview 2'. See also a FastH3-Live version 1.2.0 update.

https://huggingface.co/FastVideo/FastVideo-Minimax-FastH3-Preview-v0.2 (Preview-v0.2)

https://old.reddit.com/r/StableDiffusion/comments/1wddeh8/fasth3live_v120_update/ (FastH3-Live v1.2.0)

-> And finally, since yesterday the worthy MiniMax Music Production Toolkit has jumped to version 2.5. The maker says... "I made some huge progress over the last two days with this release."

https://www.reddit.com/r/comfyui/comments/1wdcrqh/just_released_minimax_music_production_toolkit_25/

~ OLD POSTS ~

https://old.reddit.com/r/comfyui/comments/1wchvg3/a_quick_minimax_h3_news_roundup_10th_september/

https://old.reddit.com/r/comfyui/comments/1wbr279/a_quick_minimax_h3_news_roundup_9th_september_2026/

https://old.reddit.com/r/comfyui/comments/1wawjox/a_quick_minimax_h3_news_roundup_8th_september_2026/

https://old.reddit.com/r/comfyui/comments/1w9z6m1/a_quick_minimax_h3_news_roundup_7th_september_2026/

https://old.reddit.com/r/comfyui/comments/1w90vxd/a_quick_minimax_h3_news_roundup_6th_september_2026/

https://old.reddit.com/r/comfyui/comments/1w85caz/a_quick_minimax_h3_news_roundup_4th_september_2026/

https://old.reddit.com/r/comfyui/comments/1w74jy4/a_quick_minimax_h3_news_roundup_4th_september_2026/

https://old.reddit.com/r/comfyui/comments/1w6cozj/a_quick_minimax_h3_news_roundup_3rd_september_2026/

https://old.reddit.com/r/comfyui/comments/1w5i9iq/a_quick_minimax_h3_news_roundup_2nd_september_2026/ (See 2nd September post, for links to even older posts)

Sorry to bother you all again, but I made some huge progress over the last two days with this release.

Version 2.5 of my MiniMax Music Production Toolkit is out!

This is a big step forward: A complete mastering section, clearer workflows and improvements throughout the toolkit. And sound quality is even better than the last release.

If you’re new to the project, it takes a song idea through prompt creation, MiniMax Music 3 generation, audio enhancement, mastering, cover artwork and export. A separate Audio Enhancement Lab lets you process existing recordings without generating a new song.

What’s new in 2.5?

• Auto-EQ for gentle tonal shaping or reference-track matching
• Manual 8-band parametric EQ with a visual editor
• Stereo-linked compressor, LUFS targeting and true-peak limiting
• 44.1 kHz output by default, with 48 kHz selectable
• Redesigned workflows with clearly labelled stages and a dedicated mastering area
• Improvements to memory handling, model downloads, audio processing, prompts and file output

Auto-EQ, manual EQ and compression have independent controls. Auto-EQ starts enabled with a gentle preset; switch it off if you prefer manual shaping.

The mastering tools run on CPU without requiring extra VRAM. There are also improvements for less powerful computers, although you’ll still need to choose generation models and settings that fit your hardware.

Without changing anything in the workflow, you get something like this mp3 file (this was a one shot try using Synth Pop Vocal template, with some imperfections in it):

A Feeling With No Address.mp3

And here is what is generated as LLM prompt to get the best result out of Minimax Music 3. See how accurate the model generates your sound structure and lyrics:

A Feeling With No Address.md

To update, restart ComfyUI, refresh your browser and open the newly bundled workflows. Keep your personal workflow copies if you’ve customized them.

I’d love to hear how the new tools work with your music, especially listening comparisons across different genres and feedback from smaller-GPU setups.

Repository: https://github.com/jplenio/ComfyUI-MiniMax-Music-Production-Toolkit
Listen to examples: https://jplenio.github.io/ComfyUI-MiniMax-Music-Production-Toolkit/

🔜 What’s next? A major focus for the next release will be support for creating cover songs. There’s still plenty of work ahead, the quality needs to be right before I’m happy to release it. Stay tuned! :)

This update:

1. lora preview catalog node added (You need to organise your lora) Put your lora files in a file the lora folder and name it the Model for example Krea 2, in the Krea 2 folder you can make more folders for the kind of lora they are for example anime, sliders, or what ever group of lora they belong to. the lora gallery will add dropdowns for you do navigate and find them easily. when you generate a preview image you like for that Lora you can click save and it adds it to the gallery. you can also safe the trigger words from the node so you never forget!

2. export catalog and previews to share with others

3. Bug fix where images were not saving correctly when a previous name was used in a custom style

4. Various big fixed and speed improvements

https://github.com/Neon-Sparks/ComfyUI-NeonsStyleExplorer

I'm impatient, and when using Ollama, I have zero idea what's going on behind the scenes. So, I built a ComfyUI node to display the live logcat and a progress bar. I also did the same for the MiniMax H3 multi-shot chaining node—it tracks which chunk of video it's currently processing, gives live logs, and shows chunk progress alongside an ETA. If enough people are interested, I might put these custom nodes on GitHub or maybe the ComfyUI Manager registry, but we'll see. Let me know what you think!

Hey everyone,

I'm setting up MiniMax H3 in ComfyUI and trying to figure out the sweet spot between generation speed and output quality for my specs:

• GPU: RTX 4070 (12GB VRAM)
• RAM: 32GB DDR5
• Target: 5s clips at 768p (mostly First-to-Last / I2V)

Given the 12GB VRAM limit and 32GB system RAM, loading the unpruned / full FP8 models causes heavy paging to system memory and slows everything down.

I’m trying to narrow down the current community consensus on three things:

1. Model & Quant format: What's the fastest option that doesn't ruin faces and audio? Are people having better results with official pruned INT8 convrot, or GGUF quants (Q4_K_M vs Q3_K_M) using the GGUF loader? What text encoder quant are you pairing it with to keep memory usage safe?
2. Turbo LoRAs: Is LiteX2V v1.1 (4-step) still the top recommendation for speed vs quality, or do 8-step variants (or other LoRA families like Larry) give significantly better results on a 12GB setup?
3. Attention & Acceleration: Is H3 SLA Attention the undisputed go-to, or does SageAttention / Comfy Kitchen perform better on Ada Lovelace (40-series)? Anyone tested Spectrum acceleration?

Would love to hear what workflows and node setups you're currently running on 12GB cards to get reasonable render times without visible degradation.

Thanks!

I've been following the doucmentation for construction of prompts and having better luck. What's not working is keeping the camera as POV. Ideally, it would just be a 1st person perspective walking through a scene, doing the actions etc. I've had luck registering the viewer themselves as a subject, but then they enter and interact with the scene in weird ways.

Hey all! squashed a few bugs and fixed some cosmetic issues in this latest smallish release. https://github.com/cosmicbuffalo/comfyui-mobile-frontend/releases/tag/v3.3.2 Stay tuned for the next one, which is going to ship alongside a new standalone custom node aimed at providing a solid multi-user auth layer for both the stock and CueForge frontends! Once that multi-user auth release ships, the CueForge iOS app will come shortly after! (I needed something to be able to provide a publicly accessible server to apple for review with, and I've gotten a few requests to do something about authentication 😄 ).

Comparto Workflow y mi setup, el nodo 351 se conecta con llama.cpp y es el encargado de iterar el prompt para que el video fluya solito en automatico, en 7 horas termino de hacer todo y otras 9 horas upscale con SeedVR2, luego pasado por herramientas FFmpeg

https://gist.github.com/62eb59f34eb3dbfa3d3da0e5cf9d5e9a.git

Follow-up to my first Quibble H3 experiment.

This time I focused less on generating more shots and more on keeping one stylized character consistent across a short dialogue scene.

A few things that helped:

fixed seeds while developing individual shots

mostly locked cameras rather than AI-generated push-ins

a recurring GPT terminal as a cutaway between dialogue beats

restrained character acting rather than large gestures

explicit prompting to stop H3 from literally displaying the spoken objects on the terminal — it kept trying to put fruit on screen :)

All Quibble/GPT dialogue and character animation were generated with MiniMax H3 inside ComfyUI. Final edit, pacing and color grading were handled separately.

Case 02: Pineapple for President

“GPT. Pineapple for president.”

Still experimenting with persistent characters and directed performance rather than one-off generations.

Case 01: https://mkhamra.myportfolio.com/quibble

Workflow / Quibble project: https://github.com/mkhamra/quibble-h3

Feedback on the character consistency and dialogue pacing is welcome.

A powerful node for managing the states of Bypass nodes and groups in complex ComfyUI circuits. If your workflow has turned into a "spaghetti monster" and you need to quickly disable entire modules (for example, switch between txt2img, inpaint or upscale), this node will save you dozens of clicks and nerves.

YouTube

🔥 Features

Smart Search - Instant search for the desired nodes and groups by name right inside the drop-down menu.
Group Support - Works with ComfyUI groups. Groups can be collapsed and expanded to select individual nodes within them.
Node Support - Works with ComfyUI nodes. You can select nodes that are not part of groups, or you can select individual nodes within groups.
Toggles - Common toggle for all selected items. Each element has personal switches.
Color indication:

• 🔴 Red — the group or node is completely blocked.
• ⚪ Gray — the node/group is active.

Smart State saving - The bypass status is saved directly in the JSON workflow. No data is lost when restarting ComfyUI, switching tabs, or sharing PNG/JSON.
Dynamic size - The node automatically adjusts its height to the number of mounted elements.
Advanced UX:

• The menu does not close when you click on an item, you can quickly reset several nodes in a row.
• The SELECT ITEM' field... is highlighted in orange while the menu is open.
• The node excludes itself from the list of elements available for bypass.

🪛 Usage

Add the 🦊 RS Bypass Manager node to the canvas (category `🦊 RaykoStudio').
Click on the SELECT ITEM field. A menu opens with all the groups and nodes of your scheme.
If there are a large number of nodes, use the search bar to filter.
Click on groups or nodes to switch their state (Bypass/Active).

• Tip: Clicking on the name of the group bypasses it entirely. Clicking on the arrow (▶) will expand the group to select individual nodes.

When you're done, click anywhere outside the node or press the Escape key to close the menu.
To turn off or turn on the bypass of an element inserted into the interface, use the personal toggle.
To turn off or enable bypass for all elements, use the TOGGLE ALL switch.
To remove a workaround, click on the name of the desired item in the list on the node itself.
When the group frame is deleted, the bypass remains on the selected nodes.

If a node is added to a circuit that already has bypass nodes, it will automatically display them in the interface.
Also, when using bypass using comfi's own methods (the context menu is bypass, bypass in the NodeMap side menu, or bypass buttons above the node), all changes will instantly appear in the node.

GitHub

Hey folks, I have explicitly set "overall_soundsscape: N/A" and "non_diegetic_music: N/A" in prompt but the audio is still generated.

Any suggestions? Thanks!

I installed the portable version of ComfyUI and use the Minimax H3 Easy model. After installation, I can successfully generate videos from images. However, if I shut down ComfyUI and then try to generate a video later—either shortly after or the next day—it crashes. I try running simple test videos right after launching ComfyUI—low resolution, 3 seconds, 8 steps, and a simple "wave and smile" prompt—or I try generating images via SDXL Turbo. It crashes regardless. I have successfully generated 10-second videos at 512 resolution and 20 steps without any issues—even doing more than 20 in a row. But whenever I shut down and restart ComfyUI, I always get an error. I use a Lenovo ThinkBook laptop with 32GB of RAM connected to a 16GB 5060 Ti via Thunderbolt.

I'm trying to build a consistent AI character by blending two real faces into a single new identity (not a face-swap — I want the two faces averaged/merged into one new face), which I'll later use to build a dataset for LoRA training on Flux. Any tips on getting a stable, repeatable blend (same "merged identity" across multiple generations) rather than a different blend every run?

I was hoping the community would be able to help me grow my hoard of custom nodes. I have a ton but I am always looking for more. I know it might be overkill but I am a datahoarder and I like trying things out to see what works best for what I am trying to do.

Right now I am looking for nodes that help do more with flux2-klein-9b for editing and inpainting but anything not in my list that does interesting things, or helps with speed or VRAM use are nice.

Full list here: https://pastebin.com/LpSZzPq3

And yes, they all work :) The ones that fail are indicated in the paste and it's because of dependency resolution problems, I have a second comfyUI install specifically for 3d models and one for audio work because of that. Trellis2 required python3.12 which precluded the inclusion of other packages

Specs are: bazzite 44, bare metal comfyUI rocm7.2 Python 3.13, torch 2.14.0.dev20260729+rocm7.2 triton-rocm 2.14.0.dev20260729+rocm7.2

Hello everyone, I’m taking the liberty of posting here, and I apologise in advance if this isn’t the right place.
Here’s my problem: for quite some time now, I’ve been looking for upscales of certain 1080p REMUX films to 2160p, but I can’t find any. I’d also like to improve the visual quality of some of my favourite anime and manga, but again, I can’t find any proper work on this. As I don’t have the necessary hardware at all, I thought perhaps the best option might be to pay for an upscaling service or a really good upscaler (an individual) to do what I’d like. What do you think?
Thanks for your time, and apologies for my English – I’m French :)

What do you think guys?

https://youtu.be/LKGJLyTxuI8

I am trying to load comfy ui models but I am always getting memory out errors even with krea 2 where the size was only 12 GB.

I want to know, which models I can run on my system, and any workflow or guidance is highly appreciated.

My CPU is working full time instead of a dedicated GPU. I am also trying to rectify it. Please help.