Hi! I'm the creator of AntiMatter Comfy. I put together an independent English handbook for people who can open a ComfyUI workflow but aren't sure what to change next. The whole learning bundle is free; no paid membership is required.

Inside: a 32-page PDF, the Markdown edition with copyable prompts, three original Comfy-Org starter JSONs (T2V, I2V and R2V), model links, setup checklists and troubleshooting notes. The templates retain their original credits and license.

A useful first exercise:

1. Start with one short shot and one clear action. Describe the subject, action, camera and sound separately.

2. For example: A courier waits beneath a shop awning in the rain. She checks the address on an envelope, then looks toward the street. A slow camera push-in. Rain taps on the awning; distant traffic; no dialogue.

3. Keep your seed and settings fixed, then change only the camera sentence. Compare the result before adding more actions or adapters.

4. For reference editing, write down what should change and what should stay. A reference is conditioning, not a locked editing layer.

Free PDF + complete ZIP:

https://www.patreon.com/AntiMatterComfy/posts/free-minimax-h3-170293702

This is an unofficial learning guide, not a claim of magic settings. This edition has not been GPU-benchmarked; model weights are not included. Check the current model license and compatibility for your hardware. Real interface screenshots inside the guide are from roadmaus's MIT-licensed MiniMax H3 Creator documentation, with full attribution; they are not my own UI or results. The cover is an AI-generated editorial illustration, not a software screenshot.

What part of H3 would you most like explained more clearly: setup, reference mapping, camera prompts or audio?

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.

There are lots of posts about H3 these days. What is the best currently available workflow for extending clips and minimizing degradation? I see the clown girl on here a lot but I'm not following what is needed to match what they have going on with their minutes long clips.

How do you perform latent upscaling with FlowMatch?

Every time I’ve tried, the image either ended up completely blurry or resulted in an entirely different image.

Hi everyone! I'm new to ComfyUI. My hardware specs are:

GPU: AMD Radeon RX 7600 (8GB VRAM)

CPU: AMD Ryzen 7 3700XT

RAM: 32GB

I'm trying to generate images using Krea 2 Turbo. Once the sampling iterations actually begin, it runs quite fast. However, reaching that first step takes anywhere between 6 to 7 minutes (or more), turning a quick generation into a very long wait.

Here are the models I'm using:

Diffusion Model: krea2_turbo_int8_convrot (I also have krea2_turbo_fp8_scaled)

VAE: qwen_image_vae or Wan2.1_vae

Text Encoder: qwen2vl_4b_fp8_scaled

My current startup parameters:DOSset PARAMS=--enable-dynamic-vram --disable-async-offload --preview-method none --disable-smart-memory --fast-disk --enable-manager --bf16-vae

if "!IS_LEGACY_GPU!"=="1" (

set "PARAMS=%PARAMS% --use-quad-cross-attention"

) else (

set "PARAMS=%PARAMS% --use-ck-attention"

)

Are these launch arguments correct for an 8GB AMD card? What is causing this huge delay before the steps start, and is there any way to optimize it? Thanks!

Test set made with FLUX.3 Image Klein (Base, NVFP4) in ComfyUI.

Same model, same workflow, three anime scenes and one natural-light still life, to see how it handles both styles.

Models used:

- Diffusion model: flux3_image_klein_nvfp4.safetensors (Klein Base, NVFP4, ~5.3 GB)

- Text encoder: qwen3vl_4b_int8_convrot.safetensors (CLIPLoader type: flux3)

- VAE: flux2-vae.safetensors

- Source: black-forest-labs/flux-3-image-klein-comfy on Hugging Face (accept the license to download)

Settings:

- Canvas: 1024x1344 (portrait) / 1344x768 (wide), multiples of 16

- Sampler: euler, scheduler: simple (er_sde worth trying)

- Steps: 40 (official default is 25; 50 gives slightly more detail)

- CFG: 3.5 for anime, 2.5-3 for photo-style images

- Negative prompt: empty (default), batch size 1

- Nodes: UNETLoader > CLIPLoader (flux3) > CLIPTextEncode > EmptyFlux2LatentImage > KSampler > VAEDecode

- No LoRAs, no upscaler, no inpainting

https://civitai.com/posts/31670200

You can read more here about changelogs : https://www.patreon.com/SECourses/posts/comfyui-auto-2-105023709

"Good design.Written in code "

AesCode is a code generation model that learns visual design from references produced by image generators.

With this aesthetic guidance, it creates information-rich posters, slides, dashboards, and webpages as editable HTML & CSS.

https://huggingface.co/microsoft/AesCode-32B

https://huggingface.co/mradermacher/AesCode-32B-i1-GGUF/tree/main

https://github.com/microsoft/AesCode

https://arxiv.org/abs/2610.18860

OpenAI source images, refined in ComfyUI with official KREA2 BF16 + 4x-UltraSharpV2 Lite. All three: 6 steps, Euler/simple, CFG 1, denoise 0.18, 1024px tiles with 32px padding.

The larger shapes read well, but tiny gear connections still get muddled. Settings are from the files; the complete node graph is not included.

Does anyone know how to set up Anima step by step? I don't have a workflow.

I am super new and downloaded ComfyUI. My goal is to do character swap for video/ motion control for my AI Model. This is to help me try and explre the UGC space in the future. I use comfyui locally so i can generate these for free. But i cant find a good tutorial video on how to do this. I keep seeing videos treating their audience as if we’re intermidiate users. All the terms and jargons, i am not familiar with. Theres so many workflows to download with “just download it and copy me” type of videos. I tried one of them and it did not even work properly. The AI looked like ot blended my AI character and the girl in the video 🤣

I tried Wan 3.0 on the Higgsfield website and I want to replicate the same result. Is there anyway I can do that? Or any workflow i can download please? Thank you

Please reply to the original post. Thx.

I messed up my install so badly I had to create a second instance of ComfyUI and deleted the first. Do I still have 2 copies using memory or by deleting the first one I released that memory? I have been unable to documentation on this.

I just want to speed up the startup time by removing the nodes I haven't used for a while. and i have quite a few nodes so some filter would be great...

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

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!

I'm a bit confused due to the sheer number of YouTube videos and workflows posted for consistent characters. Are there any simple workflow that doesn't require generating a LORA first?

I tried refmod for Minimax H3 and it worked to some degree. But I prefer to generate characters with KREA 2 first then only animate with Minimax H3. Thanks for any help!

Hey guys ! i posted a message few weeks back about qwen quality ! But i'm starting to find a good way to push details.. its not perfect when you zoom alot, but, for a T2I workflow for now, it's quite cool. Now i'll go on photoshop, then try to enhance back with I2I... !

Z Image Turbo (bf16) + my character LoRA, 8 steps, res_multistep / simple, CFG 1, shift 3, same seed (710101). Only the film-stock line at the end of the prompt changes (Cinestill 50D / 35mm / Portra 400). Which reads most like real golden hour? Any prompt tricks I'm missing?

Been pulling prompts from template sites to test LTX-2.5. Results were consistently poor until I compared them against the reference prompt that ships bundled in the official workflow.

The bundled one is ~200 words of actual shot direction — explicit camera movement, pacing beats ("midway through the shot…"), and for on-screen text it specifies typography in detail ("plain white sans-serif, wide spacing, no glow, no shadow"). Most shared prompts are tag-list style written for Midjourney/Ideogram dialect.

Same scene, rewritten in the model's own expected style, is a night-and-day difference. Anyone else keeping per-model prompt rewrites rather than a shared prompt library?

My setup is rx 6700xt 12 gb, cpu amd Ryzen 5 3600, 16gb ram, 1 tb ssd,2tb hdd.

I have flux schnell quantisized model that takes about a min to create an image, and juggernaut xl that does it in 20 seconds.

So im asking you fellow tech priests and wise men of Reddit..is there hope for me or should i give another kidney for a new pc build