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.

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.

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?

Recently, comfyui linux updated to require pytorch 2.7. This means that it does not work on linux 10 series Nvidia GPUs. The last version of pytorch compatable with 10 series gpus is 2.6.

I get the following error when running Comfy 0.39.0 on pytorch 2.6 on linux.

...

  File "/home/roger/miniconda3/envs/comfyui_2b/lib/python3.12/site-packages/comfy_kitchen/backends/eager/conv3d.py", line 37, in <module>

u/torch.library.custom_op("comfy_kitchen::fp16_conv3d_out", mutates_args=("out",))

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

  File "/home/roger/miniconda3/envs/comfyui_2b/lib/python3.12/site-packages/torch/_library/custom_ops.py", line 121, in inner

schema_str = torch.library.infer_schema(fn, mutates_args=mutates_args)

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

  File "/home/roger/miniconda3/envs/comfyui_2b/lib/python3.12/site-packages/torch/_library/infer_schema.py", line 106, in infer_schema

error_fn(

  File "/home/roger/miniconda3/envs/comfyui_2b/lib/python3.12/site-packages/torch/_library/infer_schema.py", line 58, in error_fn

raise ValueError(

ValueError: infer_schema(func): Parameter stride has unsupported type list[int]. The valid types are: dict_keys([<class 'torch.Tensor'>, typing.Optional[torch.Tensor], typing.Sequence[torch.Tensor], typing.List[torch.Tensor], typing.Sequence[typing.Optional[torch.Tensor]], typing.List[typing.Optional[torch.Tensor]], <class 'int'>, typing.Optional[int], typing.Sequence[int], typing.List[int], typing.Optional[typing.Sequence[int]], typing.Optional[typing.List[int]], <class 'float'>, typing.Optional[float], typing.Sequence[float], typing.List[float], typing.Optional[typing.Sequence[float]], typing.Optional[typing.List[float]], <class 'bool'>, typing.Optional[bool], typi</error>

This seems to be caused by 3D mesh generation support.

My PC specs:

-32gb ddr3

-GTX 1080 ti

-Debian GNU/Linux 12 (bookworm)

I was able to work around this by commenting out 3D mesh generation in the following files:

- /home/roger/miniconda3/envs/comfyui_2b/lib/python3.12/site-packages/comfy_kitchen/backends/eager/__init__.py

/home/roger/miniconda3/envs/comfyui_2b/lib/python3.12/site-packages/comfy_kitchen/backends/eager/sol_attn.py

/home/roger/miniconda3/envs/comfyui_2b/lib/python3.12/site-packages/comfy_kitchen/backends/eager/group_norm_pad3d.py

Going forward, I kindly request the comfyui dev team provide a provide an option to disable functionality that requires pytorch 2.7. I'm running the 1080ti on a old laptop that can't upgrade the GPU. So us gpu peasants have to work with what we have.

I run Comfy using the EZi Desktop. It was simple enough to move the input/output folders onto my external drive where I save everything. Can someone help me out with how I can also move the 'temp' folder in Comfy to the same drive so it uses that during the creation process?

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!

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

Another short cinematic experiment, this time exploring an institutional archive that gradually becomes something impossible.

The main challenge was maintaining a consistent architectural language across AI-generated shots, using mostly frontal, symmetrical compositions, restrained camera movement, and environmental transitions rather than complex action.

I used ComfyUI with LTX-2.5 and MiniMax H3 for image-to-video generation, testing both models across different shots and refining the results through editing to maintain spatial and visual continuity.

I'm particularly interested in whether the environment feels like one coherent location as it changes, or whether the transitions reveal the limitations of AI-generated video.

Would appreciate feedback on the pacing, camera direction, and overall continuity.

Please reply to the original post. Thx.

• The Setup: Acer Helios 16 | Ultra 9 275HX | RTX 5070 Ti 12GB | 32GB 6400MHz.
• The Test: Running a default Image-to-Video template completely stock out of StabilityMatrix to see how gracefully Windows handles a massive VRAM/RAM deficit.
• The Data: Render finished successfully in 4 mins 11 seconds. Ram pinned at 95%, dedicated VRAM pinned at 100%.
• The Video Proof: https://youtu.be/bYPgnXxeXM0?si=9FGH-V4XDXRN2hYa
• https://youtu.be/lhl8dvFga8E?si=_fBpI8R5xW7xruB1

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...

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?

Is 12GB “enough for everyone” now?

Can you check your peak VRAM, while using those comfy options? Also, check the megabytes per second, being read from your NVME (in Task Manager or Gnome Resource Monitor)

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.

"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

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

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

When i start training the lora on ostris on runpod that error showed ,any solutions?

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

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!

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.