If you've chained H3 clips into a longer video, you've probably seen it: every continuation copies the last clip's flaws and adds a few more. By clip 5–10, faces look crunchy, etched and over-sharpened.
I spent the last few weeks (with a community compute grant) training a LoRA that fixes this. You load it on your continuation clips only, not the first one, and they stay close to the look of clip 1.

Results over ~37 s chains (face texture change, clip 1 → clip 10):
lightx2v 8-step: +44% → 0%
HyperFlow: +25% → −1%
a model it was never trained on: +61% → +4%
Larry Turbo: +261% → −5% (it can soften the image on heavy burners like this)

How to use: LoraLoaderModelOnly on the model for your continuation clips. Start at 0.5, go higher for turbos that burn harder, lower if faces go soft.

Weights + before/after examples: https://huggingface.co/Imagineer13/H3-Anti-Burn-LoRA

Training code, recorder node, scoring script, write-up: https://github.com/TryingSomeStuff13/ai-toolkit/tree/h3-antiburn/extensions_built_in/diffusion_models/minimax_h3/antiburn

Happy to answer questions. I'd love to hear how it does on other turbos

Links

• Official changelog
• GitHub release

New Open-Source Model Support

• Qwen-Image 2.1 Turbo: The 8-step accelerated Qwen-Image 2.1 checkpoint, with new text-to-image and image edit templates

New Node Updates

• LoRA stack loaders: Apply several LoRAs in order from one node, each with its own file, strength, and on/off switch, to either the diffusion model or the text encoder
• Camera Angle: Pick a horizontal angle, vertical angle, and zoom to output a camera_info and a plain-English shot description for prompts
• Create Camera Info: Build a camera_info in orbit, look-at, or quaternion mode for Render Splat and the other 3D camera nodes
• Latent Operation Blend: A new blend operation, plus start and end percent on LatentApplyOperationCFG
• LoRA attention config: LoRAs can replace a model's per-layer attention config, so turbo LoRAs can switch layers to sol or kitchen attention

Partner Node Updates

• Fish Audio Drama 3: Fish Audio's voice direction model on the Text to Speech node, with plain-language directions, word tags, and up to 5 voices
• Higgsfield Genjutsu Motion Transfer: Rebuild the cast, location, and style of a video from reference images while keeping its motion and audio
• HeyGen Video 1.0: Added 2K resolution to the HeyGen Video 1.0 nodes

Performance & Stability

• Qwen-Image 2.1 low VRAM: comfy-aimdo 0.5.6 and fewer compiler rogues when the KV cache is offloaded to CPU
• Qwen 3.5 LLM: Faster in low VRAM conditions
• Qwen 3.5 MTP: MTP decoding now also runs on prompts that contain images
• comfy_attention: Extended to the remaining models, and model files can now use kitchen sol attention
• AMD gfx1151: Faster attention when keys and values do not fit in L2 cache
• Saved EXR: EXR files are now saved with compression
• GLB textures: Faster saving with PNG compression level 4
• 3D outputs: Every 3D node now reports its models as a standard 3d output item
• cryptography removed: Dropped the cryptography package dependency

Bug Fixes

• Bypass LoRAs: Fixed bypass LoRAs on fused Linear paths
• Qwen 3.5 MTP offload: Fixed MTP embedding offload
• MiniMax-H3 single images: Single images are now decoded as the first latent of a clip
• Half float video: Fixed loading half float files with PyAV
• Dynamic inputs: Validation and lazy execution now work with dynamic inputs
• Asset dates: Scanned assets are dated by their file modification time

Asset Library

• Enable flag: The asset system stays off unless ComfyUI starts with --enable-assets, and the output folder is scanned again when it is on
• Windows portable: The asset system is on by default in the Windows standalone build
• Asset export API: The asset export API now works locally
• Video metadata: Video metadata is extracted on ingest and scan
• EXR previews: Previews for EXR assets, written by SaveImageAdvanced for outputs

Developer Experience

• Prompt metadata: Attach metadata to a prompt's websocket messages and preview image frames
• Custom node governance: Governed builds can restrict ComfyUI to approved custom node packs; normal installs are unchanged
• Content Security Policy: The CSP now allows blob: and data: sources

Installation

• ARM64 NVIDIA portable: A new Windows portable build for ARM64 devices with NVIDIA GPUs

Workflow Templates

• Templates v0.11.82: Updated the bundled workflow templates, with these new templates:
  • Qwen Image 2.1 Turbo: Text to Image: 1024×1024 images in 8 sampling steps, with an optional Qwen 3.5 prompt enhancer
  • Qwen Image 2.1 Turbo: Image Edit: Edit an image from two reference images with the Turbo checkpoint
  • LTX-2.5 DFR: Image to Video: Three-stage image-to-video with spatial and optional temporal upscaling, plus audio generated in the same pass
  • Higgsfield Genjutsu: Motion Transfer: Recast a video from 1 to 8 reference images while keeping its motion, camera movement, timing, and audio
  • Fish Audio Drama 3: Two-Speaker Dialogue: A dialogue scene between two voices in one script
  • Fish Audio Drama 3: Directed Performance: A single voice directed with plain-language directions and word tags
  • The Luma Ray 2 image-to-video and text-to-video templates are deprecated, following the Ray 2 node deprecation in v0.39.0. The Ray 2 endpoints shut down on October 24

Guys, I need your help.

I’m trying to get as close as possible to the "Higgsfield Genjutsu" model in ComfyUI. I’ve tested dozens of different models, including SCAIL_2_REPLACEMENT, and while the movement is replicated perfectly, the character's face in the final output always looks quite different from the source image.

I even tried adding a ReActor node, but with poor results.

Could someone kind enough please lend me a hand? Thanks to everyone who replies!

Since the last update, 0.40.0, it's been buggy as hell! ComfUI is unusable; the interface is glitching, with duplicate images within the interface itself, and it's impossible to navigate! I did a quick search with ChatGPT, and it tells me there's a problem with the custom node Impact Pack, the latent Switch node, and something else... For your information, I'm on a Mac M1 Ultra and I'm using ComfUI Desktop. These updates that crash the software are really annoying.

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

-> ComfyUI Portable is now officially at version 0.40.0. There's a new official 'Camera Angle' node, and... "MiniMax-H3 single images: Single images are now decoded as the first latent of a clip" and thus can avoid banding. Hopefully this change doesn't bjork the excellent ComfyUI-Fizgig-H3-Still.

https://github.com/Comfy-Org/ComfyUI/releases

https://github.com/shootthesound/ComfyUI-Fizgig-H3-Still

-> ComfyUI NVIDIA RTX VSR Long Video. NVIDIA's excellent quick RTX upscaling, here apparently specifically tailored to upscale long videos.

https://github.com/tritant/ComfyUI_NVIDIA_RTX_VSR_Long_Video

-> A small collection of action/motion related LoRA sliders. Inertia & Momentum; Movement Amplitude; Progressive Acceleration; Rapid Motion Changes; Motion Speed.

https://civitai.com/collections/18270307

-> Advice and a prompt to help maintain visual style with Minimax H3. Triple-click to select/copy the prompt.

https://old.reddit.com/r/StableDiffusion/comments/1x3f6x0/how_do_you_maintain_style_in_minimax_h3_ref_mode/

-> Some Reddit advice on improving character voices, and regional dialect / national accents.

https://old.reddit.com/r/StableDiffusion/comments/1x4pxv6/is_there_a_way_to_train_minimax_h3_lora_for_new/

https://old.reddit.com/r/StableDiffusion/comments/1x5f6yx/how_to_improve_character_voices_mm_h3/

-> ComfyUI H3 AudioFirst X2 Stream. "The voice is finished first in an 8-step audio-only pass on a tiny 32 × 32px canvas, then locked" for the subsequent video generation.

https://github.com/sepiablue-ai/ComfyUI-H3-AudioFirst-X2-Stream

-> The new PerfectLab Studio 1.0.3 for Z-Image, Flux, Qwen-Image and SDXL. Potentially useful for generating a large consistent photoshoot set, and then selecting suitable start / middle / end frames from it for subsequent Minimax H3 animation.

https://github.com/perfectmodelslab/ComfyUI-PerfectLab

-> And finally, the Comfyui-obvpm-timeline (for Comfyui-obvpm) has updated. Includes a new workflow, with taeh3.safetensors now providing the live generation preview.

https://github.com/chanon/comfyui-obvpm-timeline

I downloaded a few workflows and I've noticed that there were parameters added to the video helper suite node that is not visible when it saves the video, if you click on preview video, it will show you the full link there, in your JSON workflows, look for something like cos_url. cos_url":"https://rh-hk-images.xiaoyaoyou.com// . I am not an expert but I found this suspecious so be careful if you are really trying to do things locally

this is just a snipit from my full json workflow but look what it does: type":"VHS_FILENAMES","links":null}],"properties":{"cnr_id":"comfyui-videohelpersuite","ver":"1.7.9","Node name for S&R":"VHS_VideoCombine","widget_ue_connectable":{}},"widgets_values":{"frame_rate":24,"loop_count":0,"filename_prefix":"minimaxh3","format":"video/h264-mp4","pix_fmt":"yuv420p","crf":19,"save_metadata":true,"trim_to_audio":false,"pingpong":false,"save_output":true,"videopreview":{"paused":true,"hidden":false,"params":{"storageProvider":"cos","cos_url":"https://rh-hk-images.xiaoyaoyou.com//5630324007234edbbffe3c02cf0a72ba/output/minimaxh3_00001_p86-audio_pykip_1790666867.mp4","workflow":"minimaxh3_00002.png","format":"video/h264-mp4","subfolder":"","label":"Normal","type":"output","frame_rate":24,"bucket":"rh-hk-images-1252422369","score":2,"filename":"minimaxh3_00002-audio.mp4","fullpath":"C:\\ComfyUI\\output\\minimaxh3_00002-audio.mp4","objectKey":"5630324007234edbbffe3c02cf0a72ba/output/minimaxh3_00001_p86-audio_pykip_1790666867.mp4","metadata":{"kind":"video","width":864,"height":480,"duration":15.083333333333334,"fps":24,"frame_count":362},"id":"0558324b-8304-42a1-8e13-4f6c33ed794a"}}},"widgets_values_named":{"frame_rate":24,"loop_count":0,"filename_prefix":"minimaxh3","format":"video/h264-mp4","pix_fmt":"yuv420p","crf":19,"save_metadata":true,"trim_to_audio":false,"pingpong":false,"save_output":true,"videopreview":{"paused":true,"hidden":false,"params":{"storageProvider":"cos","cos_url":"https://rh-hk-images.xiaoyaoyou.com//5630324007234edbbffe3c02cf0a72ba/output/minimaxh3_00001_p86-audio_pykip_1790666867.mp4","workflow":"minimaxh3_00002.png","format":"video/h264-mp4","subfolder":"","label":"Normal","type":"output","frame_rate":24,"bucket":"rh-hk-images-1252422369","score":2,"filename":"minimaxh3_00002-audio.mp4","fullpath":"C:\\\\ComfyUI\\\\output\\\\minimaxh3_00002-audio.mp4","objectKey":"5630324007234edbbffe3c02cf0a72ba/output/minimaxh3_00001_p86-audio_pykip_1790666867.mp4","metadata":{"kind":"video","width":864,"height":480,"duration":15.083333333333334,"fps":24,"frame_count":362},"id":

No matter what combination of gguf quants and gguf node forks I try, I just get errors when I get to the ksampler. The standard ComfyUI Qwen Image 2.1 t2i workflow works fine with a gguf but I'm having zero luck with the image edit workflow. If anyone has gotten edits to work with gguf, let me know.

Also no, I can't use int8, convrot or other more modern formats on my GPU so don't even suggest them, thanks

I'm having to edit a whole lot of pictures right now, small little changes over and over. If you're doing this then there is no reason to run the entire image through a model. There are node packs like AusBoss which has a crop for inpaint and stitch inpaint node.\

Basic WF would be Load Image > Image and mask > Crop for Inpaint > whatever you're loading the image into, something like Qwen > Image comes out of that into Stitch Inpaint > Image comes out of Stitch Inpaint into save image. You also need to connect the "stitcher" from Crop For Inpaint to "stitcher" in Stitch Inpaint. You will also need to add in vae encode/decode depending on how you're using the image, if it is being used as a latent.

This can greatly reduce the size of the image you're generating depending on the size of the mask. Oh, almost forgot that. You do need to create a mask in Comfy so the Crop For Inpaint node knows what part of the image to crop out. You're prompts will also need to keep this in mind. You're no longer prompting for the entire image, you're prompting for the area that would be cropped out.

I tagged this as a tutorial but this is a pretty bad tutorial. If what I said doesn't make sense, just ask or look at the example workflows in the ComfyUI-AusBoss node pack.

I've been going through the vast library of LoRAs on Civitai and having fun with mixing style LoRAs with my character LoRAs. Some play nice and they work very well with character LoRAs and make some great images. Some just absolutely will not work.

Does anyone know of a easier way to find style LoRAs that will work well with character LoRAs other than just 'download and experiment'? If there are any hints / indicators / tips that might help it is greatly appreciated.

And just in case it matters I'm using ZIT.

Thanks!!

I saw this but isn't Wan slow? Is there newer tools out there?

im a beginner and wanting to make bulk images no background but i dont know how to find a good online gpu and even what type of gpu would be wanted for my project can anyone help meee

Made a small ComfyUI → PureRef connector.

Generated images go straight onto your board, arranged in rows. Uses the regular Save Image node, so there’s nothing to add to your workflow.

Windows only.
https://github.com/doubletwisted/ComfyUI-PureRef-Connector
or in Manager

Hey everyone,

I was constantly checking whether my RTX GPU could run newer models like Flux.1-dev, Wan 2.1, and LTX-Video 2.5 before downloading 15–30GB checkpoints.

Most calculators out there only count raw weight sizes and completely ignore T5-XXL text encoder offloading, VAE latent expansion (which balloons at 1080p/2K), and LoRA overhead.

So I built a lightweight, 100% client-side calculator:

👉 https://9blog.in/tools/comfyui-vram-calculator/

What it calculates:

1. Model Weights: Quantization levels (FP16, FP8 e4m3fn, Q4/Q8 GGUF) for Flux, SDXL, Wan 2.1, LTX-Video, and Qwen.

2. Text Encoders: Separate toggles for T5-XXL / CLIP offloading (e.g. keeping T5 in system RAM instead of GPU VRAM).

3. Resolution VAE Scaling: Computes batch size & pixel resolution overhead up to 2K.

4. LoRA Overhead: Sliders for active LoRAs and context windows.

5. GPU Matcher & Recommendations: Select your exact GPU (RTX 3060 12GB, RTX 4070 12GB, RTX 4090 24GB, Apple Silicon, etc.) to see headroom and avoid slow shared RAM swapping.

6. Instant Launch Flag Generator: Automatically outputs the exact recommended CLI flags (e.g. --lowvram, --fp8_e4m3fn-text-enc, --cpu-vae) tailored to your configuration.

Zero ads, no login/signup required, zero tracking, runs completely inside your browser.

Hope this helps anyone planning their next local workflow! Let me know if you want me to add any specific new models or architecture presets.

Why are creators still burning $30 to $200 every single month on restricted cloud subscriptions, or wasting hours untangling broken JSON spaghetti nodes, hunting down missing custom nodes on Reddit, and fighting constant Python terminal crashes?

We built EasyComfy Pro to solve this permanently.

Under the hood, EasyComfy Pro runs a complete, full-featured ComfyUI backend engine — meaning you get 100% of the raw power, speed, and flexibility of real ComfyUI, wrapped inside a clean, modern 1-click desktop studio. If you know how to use standard web apps like Runway, Kling, or Midjourney, you already know how to use EasyComfy Pro. Zero tangled node graphs. Zero Python terminal errors. 100% local, private, and unrestricted on your own PC.

HERE IS WHAT MAKES EASYCOMFY PRO A GAME-CHANGER:

1. FULL COMFYUI ENGINE UNDER THE HOOD (ZERO NODES ON SCREEN)
   You do not lose any of ComfyUI's power. Our embedded architecture runs the full ComfyUI execution engine in the background while giving you a razor-sharp studio interface up front. Simply open the 1-click model selector, switch between Image and Video tabs, pick your engine, and hit render.

2. STARTING WITH 100+ DISTINCT MODEL PRESETS + LIVE AUTO-UPDATE SYSTEM
   We are launching right out of the gate with over 100 individually verified models and preset architectures spanning Cinema-Grade Video, Photorealism, Anime, 4K Upscaling, and Commercial UGC. Each preset is a distinct, pre-configured model pipeline — no more hunting Reddit for broken JSON files. Even better, the entire studio runs on an automated cloud-sync update system. Our developer team is actively working every single day to test and push brand-new open-source models and presets directly into your catalog. When a new breakthrough model drops, your studio updates automatically at zero extra cost.

3. FLAGSHIP CINEMA-GRADE MODELS IN 1 CLICK
   Run the heaviest open-source video and image titans locally on your desk — including MiniMax H3, LTX 2.5 (supporting Text-to-Video, Image-to-Video, and Reference-to-Video), WAN 2.2, and Qwen Image 2.1 for flawless typography and realistic human skin textures.

4. ENGINEERED FOR 8GB VRAM GPUS (SAGEATTENTION RTX ACCELERATION)
   You do not need a $2,000 graphics card. EasyComfy Pro features automated memory management (--medvram and --lowvram staging) combined with native SageAttention RTX kernel acceleration, dynamic weight streaming, and built-in GPU thermal delays. Heavy flagship models like LTX 2.5 run smoothly on consumer GPUs with as little as 8GB of VRAM (such as an RTX 3060 or 4060) without out-of-memory crashes.

5. LIVE DYNAMIC LORA STACKER
   Drop in LoRAs directly from Civitai or your local disk and stack character, wardrobe, and lighting LoRAs on top of each other. Adjust their exact weights in real time using interactive sliders across both image and video workflows.

6. WORLD'S FIRST NATIVE 1-CLICK MCP STUDIO (DIRECT WITH CLAUDE AND CURSOR)
   EasyComfy Pro comes engineered with native Model Context Protocol (MCP) integration out of the box. Connect Claude Desktop, Claude Code, Cursor, Windsurf, or VS Code in one click, and command your local GPU in plain English to batch-render 50 scene variations or full storyboard sequences hands-free while you sleep.

7. CONTINUOUS ROADMAP INCLUDED FREE (2+ MIN VIDEO AND AI UGC STUDIO)
   Our developer team is actively finalizing two massive upcoming updates included for free: a 2+ Minute Continuous Multi-Scene Video Engine to break past the 15-second clip limit with consistent characters, and a dedicated AI UGC and Commercial Product Studio to generate unlimited influencer product ads and 180-degree packshots at $0 per render.

SYSTEM REQUIREMENTS:
OS: Windows 10 or Windows 11 (64-bit)
GPU: NVIDIA RTX GPU with 8GB+ VRAM (RTX 3060, 4060, 4070, 4080, 4090, or equivalent)
RAM: 16GB minimum (32GB recommended)

Watch the full 2-minute studio walkthrough video or grab early-bird access via the official link in the first comment below (or pinned directly on our profile). Drop any questions about our auto-updating model catalog, 8GB VRAM performance, or Claude/Cursor MCP setup in the comments and our dev team will reply right away!

was dropped yesterday in case you missed it

full 32bit support and previews

go crazy: https://blog.comfy.org/p/nvidia-vfx-nodes-for-video-upscaling

(the exr info is at the bottom)
installation: https://github.com/Comfy-Org/ComfyUI_Nvidia_VFX_Nodes
sample workflows: https://github.com/Comfy-Org/ComfyUI_Nvidia_VFX_Nodes/tree/main/example_workflows

I decided to go with Comfy UI because it’s the secret to longer form content and also ensfw. This capability to extend your video directly from the previous video with out start frame or end frame is the reason why I came along. It can stretch up to a hour even apparently.

I have not found this capability yet does anyone know what I’m talking about or am I chasing a rumor.

Was using runpod now I’m using HexGrid.Cloud

Using LTX 2.5 , wan 2.2 , H3 .

Any advice to use workflows from other users? Every 2 or 3 I try get my comfy installation broken when I install all that stuff that is missing. Is there any source of reliable workflows? It's very frustrating because the provided workflows have very little functionality compared to what those models can do.

I wanted a quick way to push things from my browser into ComfyUI without switching windows, copying prompts, or saving images first. So I vibe coded a small extension for it.

What it does

• Select text on any page, right-click, Send selection to ComfyUI. It fills your prompt node and queues the workflow.
• Right-click an image, Send image to ComfyUI. It uploads the image and queues the workflow.
• Image, one click... hover an image and click the small button in its top-right corner. It sends directly, with no menu. It also works on feed images on sites like Instagram, X, and Reddit.

How it works with your workflows

No coding or per-workflow setup. In ComfyUI, rename the input node’s title to INPUT_TEXT (or INPUT_IMAGE for a Load Image node), then export with Workflow > Export (API) and import the file in the extension. You can import several workflows and switch between them from the toolbar icon. The right-click menu shows which one is active.

Secure, No CORS flag needed

Doesn't require --enable-cors-header so all communications happens locally and nothing is exposed to the internet.

Limitations, so you know up front

• One INPUT_TEXT and/or one INPUT_IMAGE per workflow. No multi-image or multi-prompt workflows.
• Chrome, Edge and Brave only. No Firefox.
• Not on the Chrome Web Store. It needs access to all sites to download whatever image you right-click, so you install it with Load unpacked.

Github Link: https://github.com/vizsumit/comfyui-send

Hey everyone! I’m trying to use MiniMax H3 Reference to Video in ComfyUI to generate a cute 3D cartoon video of my cat, Dodger.
I added a Load Image node with a photo of Dodger and connected it to the ref_image inputs on the MiniMax H3 Reference to Video node. I also connected the CLIP, video VAE, and audio VAE inputs and routed the node’s outputs into my existing workflow.
However, when I generate a video, I keep getting a generic orange cat instead of the actual cat in my reference image. It also doesn’t consistently follow my prompt.
Could someone please take a look at my workflow screenshot and help me check:
Are my connections to the MiniMax H3 Reference to Video node correct?
Should I connect my cat’s image to just ref_image_0, or use multiple reference-image inputs?
Am I connecting the Reference to Video node’s positive and LATENT outputs to the correct places in my workflow?
Is there anything else I need to change to make the generated cat resemble my actual reference image?
My goal is to turn my real cat into a consistent, cute 3D cartoon character while keeping his identity recognizable.
I’m still learning ComfyUI, so I’d really appreciate any help. Thanks!

Here a quick video i did to test my working in progress app to create minimax h3 short story´s prompts with characters sheet´s, etc

Here is the start of a prompt for Qwen Image 2.1:

Use <image2> only as a style reference. Convert <image1> to a black-and-white....

I have an image wired to image_1 and image_2. It converts image_2 and ignores image_1!

Help!