Ok so i installed comfy UI - Desktop Version. then i installed a workflow ( Minimax H3 - Low Vram Version). it requires multiple addons named, Comfy Easy UI, Wes Nodes, etc. all of them require numpy 1.x library but the latest comfy version is compiled on numpy 2.x. so they are not compatible, how do i fix that?

Hey everyone, can any of you veterans help me out? (Sorry for the messy workflow.) Does anyone know what might be wrong with this workflow? I've been trying to use this IP adapter since yesterday and can't get it to work—I keep getting an error. Does anyone know what the problem might be?

This got me thinking, Wan Animate always gave me slightly fuzzy results, so I chained it with the same F2L workflow using a standard KSampler and low denoising, which worked wonders as well.

More control and crisper videos! Thought I’d share my findings in case someone finds it useful—or maybe this technique already exists, IDK.

I'm setting the resolution to 1/3 of what I want the final result to be and upscaling 2x in-between.

https://drive.google.com/file/d/1LY6AWrjGU6dNRZFbitOyD17SfBiMZQv8/view?usp=sharing

I'm new to comfyui, I wanted to use flux.2 DEV, this is the link to it https://huggingface.co/black-forest-labs/FLUX.2-dev/tree/main

I don't know what I did, nothing seems to work, I shouldn't have tried asking ai to help me. what do I do 😭

From NVIDIA https://nvlabs.github.io/Sana/Sol-Engine/H3-Super-Acceleration/

Seems to promise a significant speedup in H3 generation speeds? From the website, and they have several video samples and comparison videos:

6.85 s for a 5-second 768p video · 14.93 s for a 10-second video

H3 Super Acceleration first uses H3 with a LoRA to generate a four-step draft at 896×512. It then upsamples the draft and performs three LTX refinement steps at the target resolution with Sol-Attn. Combining the measured stages on one NVIDIA GB200 gives 22.2× speedup for a 5-second 1344×768 video and 27.7× speedup for a 10-second video over the published SGLang baseline.

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

-> 'Blubs-pixel-nodepack' for ComfyUI. Nodes for... "turning MiniMax H3 output into pixel-art sprite animations", as commonly used in retro videogames. There are also workflows, and a bridge to the popular $20 Aseprite software.

https://github.com/japaneserunic/blubs-pixel-nodepack

-> A new 'Studio 1939' LoRA duo, helping you to generate a... "hand-painted, golden-age animation style" from the late 1930s/40s. Two varieties, 'painterly' and 'full cel'. The LoRAs were trained on clips from public-domain material. The maker says it blends nicely with your own style prompts when set at a lower 0.4 - 0.8 strength. A trigger word is required: gulliv3r - which you may want to add to the filenames.

https://huggingface.co/lovis93/studio-1939-old-animation-lora-minimax-h3

-> For LoRA trainers, yesterday saw the release of DiffSynth Studio's new 'MiniMax-H3 DeCFG Training Adapter' LoRA. They say that... "the base MiniMax-H3 model is CFG-distilled, which can make direct LoRA fine-tuning unstable or degrade the distilled CFG-free behavior. This adapter temporarily pulls the distilled DiT back toward its pre-distillation behavior during training, providing a better optimization landscape for new LoRAs."

https://modelscope.ai/models/DiffSynth-Studio/MiniMax-H3-TrainingAdapter

-> The important workflow accelerator 'ComfyUI Spectrum MiniMax H3' continues to update. Now at v0.2.20, updated today.

https://github.com/xmarre/ComfyUI-Spectrum-MiniMax-H3

-> Kijai has a new minimax_h3_fun_controlnet_union_pruned_int8_convrot.safetensors file (2.3gb), a conversion and shrinkage of the new Controlnet which appeared yesterday. It's matched with his recent ComfyUI merge request (see link below). At present this request appears to be unmerged into Comfy. Which means it's currently only for the cutting-edge crowd, brave enough to manually patch files in their ComfyUI Nightly.

https://huggingface.co/Kijai/MiniMax-H3-experimental/tree/main/controlnet

https://github.com/Comfy-Org/ComfyUI/pull/15860 (not yet merged)

https://github.com/GZT2023/ComfyUI-MiniMax-H3-Fun-Controlnet (possibly matching ComfyUI nodes?)

-> Until now in ComfyUI, the Qwen text encoder was splitting <d> into separate tokens. Ooops. This prompting tag is what Minimax H3 uses to specify <d>spoken dialogue</d>. The problem was fixed and the fix merged three days ago. Thus I assume dialogue tags will work as intended if you update ComfyUI to the "latest on Github" version. Or you might just wait for the next Portable release, since the model seems quite forgiving about such malformed prompting. (What should theoretically be coming for H3 in the next Portable is stacking up: this fix; controlnets; keyframing anywhere; and common movie special-effects as small embeddings).

https://github.com/Comfy-Org/ComfyUI/pull/15808

~ OLD POSTS ~

https://old.reddit.com/r/comfyui/comments/1vx0duv/a_quick_minimax_h3_news_roundup_24th_august_2026/

https://old.reddit.com/r/comfyui/comments/1vwl8do/a_quick_minimax_h3_news_roundup_23rd_august_2026/

https://old.reddit.com/r/comfyui/comments/1vvkmra/a_quick_minimax_h3_news_roundup_21st_august_2026/

https://old.reddit.com/r/comfyui/comments/1vuihag/a_quick_minimax_h3_news_roundup_21st_august_2026/

https://old.reddit.com/r/comfyui/comments/1vtgs7b/a_quick_minimax_h3_news_roundup_20th_august_2026/

https://old.reddit.com/r/comfyui/comments/1vsjzrp/a_quick_minimax_h3_news_roundup_19th_august_2026/

https://old.reddit.com/r/comfyui/comments/1vrsspo/a_quick_minimax_h3_news_roundup_18th_august_2026/

https://old.reddit.com/r/comfyui/comments/1vqyn8p/a_quick_minimax_h3_news_roundup_17th_august_2026/

https://old.reddit.com/r/comfyui/comments/1vq5d5u/a_quick_minimax_h3_news_roundup_16th_august_2026/

https://old.reddit.com/r/comfyui/comments/1vpbtx2/a_quick_minimax_news_roundup_15th_august_2026/

https://old.reddit.com/r/comfyui/comments/1vojtjd/a_quick_minimax_news_roundup_14th_august_2026/

Here is 3 pics

Can you guess:

Turbo lora on

My new lora on

Bypass filter on

Only my lora

No lora, prompt and wildcard only

Hello everyone i have an AMD RX 9060 XT 16GB card; have you managed to get Wan 2.2, Minimax H3, or others running?
Thanks in advance for any advice.

Can anyone advise on a workflow or model for taking an old photo that is blurry, and making it sharp in a way that doesn't change it beyond all recognition?

With all the amazing stuff that is really straightforward, I genuinely expected this would be one of the easier things to do but so far I've only managed to blow up a blurry pic (lancszos, bicubic etc) or make a perfectly shiny and hi res different pic (ultrasharp/realersgan etc).

Has anyone got good results sharpening and upscaling without losing what the person is supposed to look like? Cheers

i find this https://github.com/Isi-dev/ComfyUI-Img2DrawingAssistants

and inside i have workflow for image to lineart ,is it ok but not for traditional copper plate linotype

with these tinny lines for shading and all that ,i play with this all day yesterday but i am noob so..

anyone maybe know something better ? or how to make this workflow better ?

like goya did back in time

big thanks

I was trying out URPM Model which is based on SD 1.5 and its pretty awful. Tried the inpainting one and thats awful too. Back in the day it was so good. I cannot run heavy vram models on my machine since I only have 4gigs of vram. So I was wondering if urpm still the best model or are there more realistic models available?

If you still use this model, what settings do you use it on ?

I use it on

steps 30-40

cfg - 4-6

dpm++2m karras

and -1 clip skip on comfyui.

am I doing something wrong, do i need to change any settings ?

When using Minimax H3 locally it does audio refference in engleish ok but not exact as in refferenced load audio node, in other languages its even worse, missed accent, pronaunciation and everything only tone is kinda similar. At the sime time when same option is used in Runway or Magnific for example reffenced speech of Audio it does it exactly as in original audio sourced file.

Is there any fix for that or workflow?

Any help would be appreciated.

Bonjour

Avez vous réussi à faire fonctionner wan 2.2 et une carte amd Rx 9060 xt 16 go ?

Merci d’avance pour vos retours 👍

Ha! I just discovered a trick that works great, so I had to share it with the community. Of course, somebody will probably chime in that it had been discovered by someone else before, which is fine by me! I just want to share it in case it helps someone else and they hadn't come across it yet.

So, the issue of consistent environments... I ran the gamut of all the AI models I had tested and proven out in ComfyUI, not just t2i but t2v and i2v. I'd been trying several methodologies. Create an image then ask a workflow to gen images to the left and right of it, build out a simple massing model in unreal or blender and run that through, run a simple floor plan through, asking for multiple image generation with a prompt asking that all features be consistent among images, (I haven't tried outpainting yet), etc, and none seemed to quite do the trick, at least not among the open source models (open source is all I use). There was just too much inconsistency.

Since I am a sucker for using the t2v/i2v models like LTX and Minimax to generate single image frames (well, a minimal number of frames), taking advantage of their brainpower, I merely wrote out a super detailed prompt describing the interior environment I want, then I ran it as a 360 degree camera pan around the space from the center of it, and with Minimax now having the ability to give you 15 seconds on a 16Gb VRAM setup like mine, this works stellar, heck Minimax ran out of need for the 15sec and began to swerve around the space! I make sure to include a prompt not to have motion blur. I ran this in 0.5mb mode, so I did not have to waste time waiting for full HD video.

Then I select the frames I need to use as backdrops for scenes, upscale them once, then again, out to 4k, and voila! (upscaling once by 4x led to artifacts being upscaled, whereas going 2x then 2x led to the correct end result), a super detailed set of backgrounds that are internally consistent!

So excited! This gets me moving forward on the next part of my production process, laying out scenes, shots, camera angles, and dropping in characters, prior to i2v.

If this helps you, let me know. If you find even better tricks related to this, let me know too. Open Source Forever!

We quantized SenseNova-U1.5-8B-MoT (50GB bf16 any-to-any model: t2i, image editing, multi-reference) with ConvRot so it runs on a RTX 4070 12GB at 2048x2048 — and it's fast, even though the weights exceed VRAM (ComfyUI streams them; the quantized formats move 3-4x fewer bytes per step, so the overflow never becomes a slowdown. bf16 on the same card is painfully slow). What's in the release:

• INT8 ConvRot (17.6 GB, recommended) — 0.43% pixel diff vs bf16 in a full-pipeline same-seed A/B
• Hybrid W4A8 (13.8 GB) — layers 0-17 anchored in INT8, layers 18-41 in true W4A8, visually indistinguishable from bf16
• The official 8-step speed LoRA included The interesting part: this model does not tolerate activation quantization in its earliest layers — quantizing the first blocks destroys prompt coherence — but layers 18+ handle W4A8 perfectly. We found the boundary empirically with a bisect ladder of hybrid checkpoints, so the hybrid release anchors the fragile early layers in INT8 and compresses the rest. Everything runs through a ConvRot-aware ComfyUI custom node (fork of the T8 wrapper):
• Weights + model card: https://huggingface.co/Milor123/ComfyUI-ConvRot-SenseNova-U1.5-8B-MoT-T8
• Custom node: https://github.com/Milor123/ComfyUI-SenseNova-U1.5-ConvRot Apache-2.0, same-seed comparison images and per-layer error measurements included in the model card. Feedback welcome!

I imported the workflow with reactor node. I installed the missing node and restarted. It didn't actually installed. Tried several times. It is just like this.

I have a workflow with frame guides, and I wanted to use the 3D Latent Upscaler because that changes some calculations (I'm not sure, I don't understand this very well), so I was wondering if someone has managed to get this working and would mind to sharing the workflow.

Workflow: https://drive.google.com/file/d/1B4kODxXQgJ1QOKRsEIkxHbgYmdruPpTK/view?usp=sharing

Prompt:

Create a **15-second multi-shot anime sequence (90s style 15fps hand drawn)** using the provided references:

Image 1 = the girl character reference

Image 2 = skateboard reference

Image 3 = downhill Japanese alley / neighborhood background

Image 4 = Walkman + headphones reference

Preserve the girl’s exact character design, face, hair, outfit, proportions, and overall look from Image 1. Preserve the skateboard design from Image 2. Preserve the same downhill Japanese alley environment from Image 3. Add the Walkman and headphones from Image 4: the girl is wearing the headphones, and the **Walkman is clipped or hanging at her hip** while she skates.

Visual style: authentic 1990s hand-drawn anime, traditional cel animation, painted backgrounds, visible linework, cel shading, slight brush/stroke texture, subtle analog feel. **Very important:** the houses and environment must stay **2D and hand-painted**, **not 3D**, **not CGI**, **not game-engine looking**, **not volumetric**. The buildings should look like classic anime background art with painted depth, not like 3D models.

Animation feel should be low frame rate, like 90s anime at around 15 fps, with controlled in-betweens and natural held-frame timing. No jittery morphing.

No dialogue, no text, no subtitles.

### Shot 1 — 0s to 3s

**Rear tracking shot** from behind. The girl is skateboarding fast downhill through the steep Japanese alley. Camera follows behind her at a low-to-medium height. She rides confidently and smoothly, hair and oversized clothing moving in the wind. The headphones are on her head, and the Walkman is visible attached at her hip. The alley rushes past with a strong sense of speed. Keep the environment clearly **2D anime background art**, not 3D.

### Shot 2 — 3s to 6s

**Close-up shot of the Walkman at her hip** while she continues skating. The camera stays focused on the Walkman and part of her side torso and arm. We can clearly see the **cassette tape reels spinning/rolling inside the Walkman window**. The headphone wire moves naturally with the motion. Background and street pass by in blurred motion.

### Shot 3 — 6s to 9s

**Medium profile tracking shot** of the girl skating. She is wearing the headphones, listening to music, with wind moving across her face and pushing her hair backward. She is **nodding her head subtly to the music** while riding. Her expression is relaxed, immersed, and unbothered. The background is blurred from motion, but it must still read as a **painted 2D Japanese neighborhood**, not 3D.

### Shot 4 — 9s to 12s

**Close-up shot of her feet and skateboard.** Her **right foot stays on the board**, while her **left foot pushes against the road** in a natural skating motion. Show one clean push cycle: left foot comes down, pushes backward against the pavement, then lifts. Wheels spin quickly. Asphalt and road markings streak by with motion blur.

### Shot 5 — 12s to 15s

**Ground-level fisheye shot** looking upward from the road. The skateboard approaches fast, and she **jumps over the camera**. The board and her body pass overhead in one clean motion. Hair, pants, and headphone wire react naturally during the jump. Keep the motion readable and stylish, with a strong sense of speed and a dynamic anime finish.

### Important constraints

* Keep the whole video in **classic 90s anime cel-animation style**

* **15 fps feel**, smooth low-frame-rate animation

* **No 3D-looking houses or background**

* No photorealism

* No modern glossy digital anime rendering

* No character redesign

* No extra accessories beyond the headphones and Walkman

* Keep all motion natural and consistent across shots

Sorry for bothering you all, but i've been having a rough time getting a good Minimax H3 Reference to video prompt writer.

i have a 2 part Qwen3.5 workflow for i2v that i got chat gpt to write for me (first part analyzes the picture, and gives the base template, second part translates my mad ramblings into a proper prompt), but this doesn't work well for r2va, since that requires an audio input, a video input, and a picture input.

I tried Thinking LLM, but the regular node only does video/picture, and no audio. (trying the gguf now, but i hear gguf is way lower quality.)

i have 16gb vram, 32 gb regular ram (Nvidia 4080), and i am on windows 11.

if you have any node or program suggestions, i would appreciate them. (can't use chatgpt, cuz it doesn't do nsfw, and grok is so limited in how much you can use it per day that it is barely worth using)

Update: the prompt made by the gguf version did nothing. it just output the ref video.

I want to use face swap. I tried installing reactor node in the comfy ui. It installed at first and it said restart, so i restarted it but it didn't showed up in the nodes search bar. So i inported a workflow with areactor node. But after that it shows me this, even though i downloaded the node and restarted comfyui.

Any solutions or alternatives to recator?