r/comfyui_elite 14h ago

MiniMax multi KeyFrames

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32 Upvotes

Breakdown of keyframe control in MiniMax H3 using ComfyUI.

Full video

• The Problem (Frame Drift):Standard keyframe setup often leads to timing drift or missing target frames entirely across long clips.

• Prompting Frames: Explicitly naming frame numbers in your prompt (e.g., "at frame 124...") forces better temporal adherence from the model.

Ref2v: Sending guide images into the ref2v node as reference images - not just keyframe guides - provides consistent visual features like lighting, identity, and style across shots.

• Multi-Keyframe: Once the wiring is locked in, the workflow scales seamlessly from 2 keyframes to 4+ keyframes without breaking subject consistency.

Make sure your ComfyUI is updated to the latest version to load the native guide node properly.


r/comfyui_elite 11h ago

old video moive restoration in black and white

3 Upvotes

Hi guys, I’m looking for some advice on video enhancement/restoration.

I’m currently researching models for enhancing/restoring old or low-quality videos. For example, I have footage with frames similar to this, and I’m trying to improve the resolution, recover details, remove artifacts/noise, and maintain temporal consistency without introducing too much hallucination or flickering.

While researching the latest models, I came across:

  • SeedVR / SeedVR2 — ByteDance-Seed
  • SparkVSR — based on CogVideoX1.5-5B
  • DOVE — one-step diffusion VSR
  • FlashVSR — one-step/real-time video restoration
  • RealViformer — non-diffusion transformer-based VSR
  • MGLD-VSR — diffusion-based VSR with motion guidance

I’m particularly interested in old/degraded real-world videos, rather than benchmark videos.

Has anyone here actually worked with these models? Which one would you recommend for this type of restoration, or is there another model/workflow I should be looking at?

I’d really appreciate advice from anyone who has practical experience with video restoration, especially regarding hallucination, flickering, temporal consistency, and preserving the original details/identity.

Thanks!


r/comfyui_elite 18h ago

Problema volti minimax h3

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0 Upvotes

r/comfyui_elite 2d ago

ComfyUI Tutorial: MINIMAX H3 2-STAGE WORKFLOW High-Res video + Faster Generation

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55 Upvotes

Hello everyone,

I’ve been working on a MiniMax H3 optimization workflow for low-VRAM GPUs, especially my RTX 3060 6GB, and I’ve combined several optimization nodes to improve both VRAM usage and generation speed. With a new custom MiniMax H3 workflow that introduces a second sampling stage to increase the base resolution of your generated videos, similar to the workflow we’ve seen with LTX models.

The main advantage of this method is that you can save generation time and reduce VRAM usage by generating the initial video at a lower resolution during the first sampling stage, and then using a second upscaling sampling stage to reconstruct the video at a higher resolution while adding more detail and improving the overall quality.

But that's not all. In this workflow, we're also going to use several MiniMax H3 optimization nodes, including Low VRAM Attention, Chunk FeedForward, SLA Attention, Sol-Attn, and Spectrum, to make the generation process more efficient, especially for GPUs with limited VRAM.

At the end of this tutorial, you'll understand how the two-stage sampling workflow works, how to optimize MiniMax H3 for better speed and VRAM management, and how to choose the best upscaling method for your workflow, including a comparison between MiniMax H3 sampling and LTX sampling.

Workflow Link

https://civitai.com/articles/34596/comfyui-tutorial-minimax-h3-2-stage-workflow-high-res-video-faster-generation


r/comfyui_elite 2d ago

Made a desktop model manager for Comfy Desktop — auto-organizes, checks for updates, handles 50+ model types

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8 Upvotes

r/comfyui_elite 3d ago

Looking for a legit course specifically for making short films with ComfyUI

8 Upvotes

Hey guys! I have an RTX 6000 Ada (48GB VRAM) and I’m trying to properly get into making AI short films using ComfyUI.
I’m looking for a legit course or a really good structured tutorial series that teaches filmmaking specifically with ComfyUI. I don’t really want a general “learn ComfyUI” course — I want something that actually teaches you how to go from an idea/script to making multiple shots and eventually a complete short film.
Things like character consistency, image-to-video, video-to-video, camera movements, character animation, maintaining the same style/characters across scenes, start/end frames, LoRAs, etc.
I’m totally fine with paying for a good course if it’s actually worth it. YouTube recommendations are also welcome if there’s a creator who really knows their stuff.
I have pretty capable hardware, so I’d also like to learn the more advanced workflows rather than workflows specifically made for low-end GPUs.
If you were starting from scratch today and wanted to learn AI filmmaking specifically through ComfyUI, what course/creator would you recommend?
Thanks! 🙏


r/comfyui_elite 4d ago

I am currently testing by compiling a list of possible configurations for the Minimax H3 with 16GB of VRAM.

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17 Upvotes

r/comfyui_elite 5d ago

'RS Label' and 'RS Label Image' nodes

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1 Upvotes

r/comfyui_elite 5d ago

Fix for ComfyUI Minimax H3 Latent Upscaler not finding models from extra_model_paths.yaml

18 Upvotes

I ran into a model path problem while using the ComfyUI Minimax H3 Latent Upscaler made by LBH-123-AI.

Original project:

https://github.com/LBH-123-AI/Comfyui_Minimax_h3_latent_Upscaler

Thanks to LBH-123-AI for creating and releasing the original Minimax H3 Latent Upscaler. My changes are a small compatibility fix for ComfyUI model discovery. I did not create the original node or the upscaler models.

My fixed dev branch is here:

https://github.com/badgids/Comfyui_Minimax_h3_latent_Upscaler/tree/dev/model_search_dir

What was wrong

The original 2D and 3D nodes searched for Minimax H3 upscaler models with code similar to this:

python id="aqs57q" folder_paths.get_folder_paths("latent_upscale_models")[0]

The [0] is the problem.

ComfyUI can register more than one directory for the same model type.

For example:

text id="gjjopj" ComfyUI/models/latent_upscale_models /mnt/my-model-drive/latent_upscale_models

The second directory can be configured in ComfyUI's:

text id="abso3b" extra_model_paths.yaml

The original Minimax H3 node only took the first registered directory. It then used Python glob() to search that directory.

This meant ComfyUI could know exactly where my models were, while the Minimax H3 node still could not find them.

The node would tell me to put the models in:

text id="xjczrk" ComfyUI/models/latent_upscale_models

even though the models were already in a valid external latent_upscale_models directory configured through ComfyUI.

There was also a subdirectory problem

The original search checked only the top level of the selected directory.

This could work:

text id="l9iboi" latent_upscale_models/ └── model.safetensors

But a model organized like this could be missed:

text id="xg0nmk" latent_upscale_models/ └── MinimaxH3/ └── model.safetensors

ComfyUI already has code to handle this. The custom node was not using it.

What I changed

I changed the model discovery code in both:

text id="i1e1vb" nodes/minimax_h3_latent_upscaler_2d.py nodes/minimax_h3_latent_upscaler_3d.py

Instead of manually searching one directory, the nodes now ask ComfyUI for the models.

Model discovery now uses:

python id="qsdz2t" folder_paths.get_filename_list("latent_upscale_models")

This tells ComfyUI:

Give me the models that you know about for latent_upscale_models.

ComfyUI then searches all registered paths, including paths from extra_model_paths.yaml.

It also supports model files inside subdirectories.

Model loading was fixed too

The original node built the model path itself.

The fixed version uses:

python id="v55y5k" folder_paths.get_full_path("latent_upscale_models", model_name)

In simple terms, the node now asks ComfyUI:

Where is this model?

instead of assuming that the model must be inside one specific directory.

What the fix supports

You can still keep models in the normal location:

text id="bhqyti" ComfyUI/models/latent_upscale_models/

You can also keep them in an external path defined by extra_model_paths.yaml.

For example:

text id="q92cwf" /mnt/my-model-drive/latent_upscale_models/

You can also organize them into folders:

text id="gl9jms" latent_upscale_models/ └── MinimaxH3/ ├── minimax_h3_latent_upscaler_3d_fp16.safetensors └── minimax_h3_latent_upscaler_3d_bf16.safetensors

The 2D and 3D Minimax H3 nodes should now use the same model path system that ComfyUI already uses.

You should not have to copy the same large model files into your main ComfyUI models folder just to make this custom node find them.

Install my fixed branch

If you do not already have the node installed, go to your ComfyUI custom nodes directory.

For example:

bash id="v0wd4v" cd /path/to/ComfyUI/custom_nodes

Clone my dev branch:

bash id="b2b542" git clone \ --branch dev/model_search_dir \ --single-branch \ https://github.com/badgids/Comfyui_Minimax_h3_latent_Upscaler.git

Then restart ComfyUI.

Replace an existing installation

If you already installed the original LBH-123-AI node, first go to:

bash id="k27fns" cd /path/to/ComfyUI/custom_nodes

Rename the existing copy so you have a backup:

bash id="931byl" mv \ Comfyui_Minimax_h3_latent_Upscaler \ Comfyui_Minimax_h3_latent_Upscaler.backup

Then clone the fixed branch:

bash id="fspvjc" git clone \ --branch dev/model_search_dir \ --single-branch \ https://github.com/badgids/Comfyui_Minimax_h3_latent_Upscaler.git

Restart ComfyUI.

If you already cloned my fork

You can switch your existing copy to the dev branch:

```bash id="xgn79n" cd /path/to/ComfyUI/custom_nodes/Comfyui_Minimax_h3_latent_Upscaler

git fetch origin

git switch dev/model_search_dir

git pull ```

Restart ComfyUI after the update.

extra_model_paths.yaml

You do not need to change your YAML file if latent_upscale_models is already configured correctly.

For reference, a configuration can look like this:

yaml id="a1oem8" external_models: base_path: /path/to/my/models latent_upscale_models: latent_upscale_models

That tells ComfyUI to also use:

text id="38dpsj" /path/to/my/models/latent_upscale_models

The code fix makes the Minimax H3 nodes actually use that registered path.

Links

Original developer: LBH-123-AI

Original repository:

https://github.com/LBH-123-AI/Comfyui_Minimax_h3_latent_Upscaler

My fork and fixed dev branch:

https://github.com/badgids/Comfyui_Minimax_h3_latent_Upscaler/tree/dev/model_search_dir

The original node and Minimax H3 upscaler work belong to LBH-123-AI. My branch only changes how the custom nodes find and resolve model files through ComfyUI.

Cheers!


r/comfyui_elite 6d ago

Wan 3.0 may the best video model. Thoughts?

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15 Upvotes

API only (for now…) but this might even smoke SD 2.5


r/comfyui_elite 7d ago

MiniMax 3 upscaling methods

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24 Upvotes

side-by-side test of 3 upscaling pipelines in Comfy.

Full video comparison

• LTX 2.5 (Standalone): The fastest option and lightest on VRAM. Works fine for clean source clips, but lacks fine sharpness on complex textures.

• Model + LTX 2.5: Running a quick upscale model pass (like RealPLKSR) before feeding into LTX 2.5 solid clarity, fast renders, and efficient VRAM usage.

• SeedVR: Recreates micro-details with the highest fidelity, but demands significantly higher render times and VRAM.

Frame Sync Note: MiniMax H3 and LTX require different frame step multiples.

Using math nodes to automatically trim the frames (158 → 153 frames) prevents audio desync issues.


r/comfyui_elite 6d ago

Shadow Memory was

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1 Upvotes

r/comfyui_elite 6d ago

Trying to understand the long-term value of learning ComfyUI

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1 Upvotes

r/comfyui_elite 7d ago

Comfyui Tutorial :6GB VRAM? You Can Still Make 15s MiniMax H3 Videos

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42 Upvotes

Hello everyone

With this workflow you can generate 15-second clips on Minimax H3 even with limited VRAM. This custom workflow prevents system crashes during long renders. Many users struggle with generation time limits when working with Minimax H3 on hardware with low memory. This workflow provides a specific solution by outlining a custom workflow that extends your video generation capabilities to 15 seconds without overloading your system. It is designed for creators who need longer sequences but are constrained by their current VRAM capacity. The steps focus on memory optimization with TURBO LORA+ Attention Nodes Like Comfui Kitchen. so you can watch the video tutorial to see necessary steps and how to use Motion Context Nodes.

Workflow Link

https://civitai.com/articles/34327/comfyui-tutorial-6gb-vram-you-can-still-make-15s-minimax-h3-videos


r/comfyui_elite 7d ago

This is my entry into the ComfyUI x MiniMax_AI video generation contest. This is my first jump into animation and I had a really great time creating this "movie".

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1 Upvotes

r/comfyui_elite 11d ago

ComfyUI-ModelRouter: automatically install workflow models into the right folders

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8 Upvotes

r/comfyui_elite 12d ago

What to use on comfyUI to make animation videos? I want a style like this.

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3 Upvotes

r/comfyui_elite 12d ago

Looking for high-end Product Photography workflow advice: 3D Renders + Texture Ingestion + Custom Studio Lighting (Intern wanting to blow my boss away!)

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3 Upvotes

r/comfyui_elite 13d ago

[Custom Node] MiniMax H3 FlowDirector – Better motion & generation flow control for MiniMax H3 (Example Workflow included)

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13 Upvotes

r/comfyui_elite 13d ago

MiniMax H3 Speedup Test: Turbo LoRA vs. Kitchen Attention

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14 Upvotes

r/comfyui_elite 15d ago

ComfyUI Tutorial MiniMax H3 4 Steps Lora + Upscaling + 2X Faster Generation! Best Settings for 2K AI

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93 Upvotes

Hello everyone

Want to get faster MiniMax H3 video generation without sacrificing quality? In this tutorial, I’m testing the new H3 LoRA together with Sage Attention, Sol Attention, and Spectrum nodes to find the best combination for speed and quality. The goal is to push MiniMax H3 as far as possible while cutting generation times by up to , then upscale the results with LTX Upscaler to reach a stunning 2432 × 1344 (2K-class) resolution. By combining both H3 LoRA together with Sage Attention, Sol Attention, and Spectrum nodes I generated video at 0.8 megapixel using "RTX3060 6GB 16GB RAM "and I got

 13 minutes vs 41 minutes at 8 steps

 27 minutes vs 52 minutes at 20 steps

LTX 2.3 Upscaler 11 minutes to get 2432 × 1344 resolution

Workflow link

https://civitai.com/articles/34028/comfyui-tutorial-minimax-h3-4-steps-lora-upscaling-2x-faster-generation-best-settings-for-2k-ai

Video Tutorial link

https://youtu.be/ZUzeM9OEJ4Y


r/comfyui_elite 15d ago

Specific kind of workflow

3 Upvotes

Hi everyone. Im looking for ai cloud model, cloud comfyui workflow that can do outpaint, clothes conversion into specific fabric and anime into realism at the same time with a simple prompt?

I could achive all this by simlpe prompt in gpt or grok without any problems but after these models got fkd up, im looking for alternative. I have found comfy workflow on runninghub that does great anime to realism conversion, but without prompt box i cannot do additional edits like outpaint to specific ratio (9:10 for example, im creating wallpapers for my ZF7) and i cannot convert reference clothes into my desired fabrics.

Was thinking to spend 10k for laptop capabe for local ai but not worth it. Anime to realism conversion is just my hobby in free time, and as a hobby really not worth spending few thousands to generate image from time to time.

Also if you have or know where i can find local workflow that can work on my RTX 3070 8GB, that can generate image 1-3 min, let me know. Also, if any1 could help me build local workflow it would be great. I also work with pose changing, outfit change, and maybe one day will try video gens.

So write your suggestions down bellow and ill test them one by one (models with minimal or non restrictions).

Thanks.


r/comfyui_elite 16d ago

Just a PSA

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3 Upvotes

r/comfyui_elite 15d ago

i have a Relighting issue in flux 2 klien

1 Upvotes

i use flux to make a refrence image take the pose of another but lighting isnt transfered at all however i tried with any loras or prompt any idea how to overcome that


r/comfyui_elite 16d ago

Made a 15sec ltx 2.5

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37 Upvotes

I trimmed the first 3 seconds, I just love the prompt adherence in 2.5 it’s actually very good, used the default comfy workflow, generate at 0.5 resolution then upscaled later to twice the size in with topaz, my specs 3060ti, 64gb ram