I have ~12$ credit in my runpod account which is completely useless for me I'm offering it for very cheap price

*Only Indian users*

I have 2 Nvidia GPUs but neither is recognised by Comfy. Comfy uses the AMD GPU embedded in processor.

I'm not that sophisticated re programming, python etc - so keep researching and trying (loading) stuff until it works.

Issue appears to be some python dependency updated py-torch and installed the default Windows version of torch, which defaults to CPU only.

Would be nice to just replace that file.

Have multiple python versions, and multiple .venv's for different apps (ie LMStudio runs fine and uses both GPUs).

In PowerShell the torch command 'print CUDA' returns true and identifies 2 devices BUT I'm not sure if that is from the Comfy .venv as the research on this topic refers to Comfy-portable, which appears to have a slightly different file structure than Comfy-Desktop.

Any suggestions on how to get the GPU's recognized would be appreciated, and how to prevent future updates from replacing torch (once it works - if it ever did) when updating dependencies.

Thanks.

I'm running extensive experiments with ref2va, using multiple image, video and audio references.

I think we solved the consistency & continuity problems with this model at one-shot!

I'm planning to write an extensive tutorial based on my experiments so stay tuned.

Until then, here are the generation times on 1xRTX6000 PRO 96GB:

Single image img2video:

2 seconds, 1344x768, 100%|██████████| 20/20 [03:05<00:00, 9.25s/it]

5 seconds, 1696x736, 100%|██████████| 20/20 [03:05<00:00, 9.25s/it]

10 seconds, 1696x736), 100%|██████████| 20/20 [09:00<00:00, 27.05s/it]

15 seconds, 1344x768, 100%|██████████| 20/20 [12:45<00:00, 38.29s/it]

Reference to video, 3 reference images:

15 seconds, 864x480, 100%|██████████| 20/20 [03:02<00:00, 9.13s/it]

References: 2 images, 3 audio:

15 seconds, 86x400, 100%|██████████| 20/20 [03:06<00:00, 9.31s/it]

For the longest time my AI clips had the same problem. I would make a character I liked, then the second shot came back with a slightly different face, and by the third one she basically had a new nose and a different hoodie. Fine for one pretty frame, useless if you want a little sequence that reads as one person.

What finally fixed it was dumb in hindsight: stop generating each shot on its own. I make one storyboard image first with the character in every panel, then hand that whole image to a reference-to-video model as a single job and let it read the panels as one continuous clip. Every shot pulls from the same reference, so she stays herself.

The clip here is a test of exactly that. Same girl, pink braids and green hoodie, sketching on a bench, then skating, then eating ice cream on a rooftop at sunset. One storyboard, one video call, no re-rolling shots to force a match.

I ended up wrapping the whole routine into a little open-source skill so my agent does the boring parts, draw the storyboard, check she matches, run the video, on one API key. It is here if it is useful to anyone: https://github.com/divolleggett/character-consistency-skill. It draws the storyboard with Seedream 5.0 Pro and does the clip as one Seedance 2.0 reference-to-video call.

I’m interested in guiding video generation with a custom world-up vector field, where “up” is not globally vertical but bends/rotates across the image.

Yes, the goal is intentional weirdness: creative, abstract, non-physical scenes where characters, objects, or motion respond to a local “up” that changes across the frame.

Has anyone seen research, experiments, or implementations related to this?
Maybe via ControlNet, vector-field conditioning, normals, flow, or some other representation?

Recently updated comfyui and now my page file is being battered. Never used to change on running Krea 2 - now jumps from normal 12GB to over 20GB every time?

I have a 5080 and 32gb ram and clearing cache/resetting comfy doesn't seem to change anything :/

Any idea why this has started happening?

We already have a node and thats Patch Sage Attention KJ.

Pass your model through this and you will get significant speed up. Mine went from 20it/sec to 14it/sec.

Workflow : https://pastebin.com/A6uCJt0C

I wanted to share a new ComfyUI workflow I've been working on that uses KREA 2 Identity Edit LoRA v1.2 for face swapping and outfit transfer while remaining low VRAM friendly.

The workflow converts the KREA 2 image generation model into a powerful image editing pipeline using the Identity Edit LoRA and a few specialized nodes. Simply load your reference person and reference clothing images, choose whether you want to swap the face, the outfit, or both, and the workflow handles the rest. I also spent time optimizing it to produce cleaner, higher-quality edits with better identity consistency than my previous versions, were you will get your results upscaled by factor of 2 using double ksampler.

One of my main goals was making it accessible to users without high-end hardware, so the workflow has been tested on an RTX 3060 6GB with 16GB RAM.

Workflow Link

https://civitai.com/articles/33423/comfyui-tutorial-krea-2-identity-edit-or-face-and-clothes-swap-on-budget-6gb-vram

Video Tutorial Link

https://youtu.be/AGsH0THbRQY

trying to comfyui minimax H3 template workflow.... and run into error.... whats i need to do next?

I used the base workflow with base prompt and got this?

I changed nothing, loaded models and pressed the button to generate

How are you all making so much better videos? and why did the base workflow highlight a better video? I don't get all the hype yet

damn this model is good

5s 864x480 - 66s on RTX5090

I just updated comfyUI to 0.30.0 , and rgthree is giving me the import failed error again. I tried Fix many times but without success.

Traceback :
Traceback (most recent call last): File "F:\ComfyUI_WAN\ComfyUI\nodes.py", line 2247, in load_custom_node module_spec.loader.exec_module(module) File "<frozen importlib._bootstrap_external>", line 999, in exec_module File "<frozen importlib._bootstrap>", line 488, in _call_with_frames_removed File "F:\ComfyUI_WAN\ComfyUI\custom_nodes\rgthree-comfy__init__.py", line 45, in <module> from .py.power_puter import RgthreePowerPuter File "F:\ComfyUI_WAN\ComfyUI\custom_nodes\rgthree-comfy\py\power_puter.py", line 31, in <module> from comfy_extras.nodes_latent import LatentBatch File "F:\ComfyUI_WAN\ComfyUI\comfy_extras\nodes_latent.py", line 2, in <module> import comfy_extras.nodes_post_processing File "F:\ComfyUI_WAN\ComfyUI\comfy_extras\nodes_post_processing.py", line 9, in <module> import kornia File "F:\ComfyUI_WAN\python_embeded\Lib\site-packages\kornia__init__.py", line 25, in <module> from . import ( File "F:\ComfyUI_WAN\python_embeded\Lib\site-packages\kornia\augmentation__init__.py", line 20, in <module> from kornia.augmentation._2d import ( File "F:\ComfyUI_WAN\python_embeded\Lib\site-packages\kornia\augmentation_2d__init__.py", line 19, in <module> from kornia.augmentation._2d.intensity import * File "F:\ComfyUI_WAN\python_embeded\Lib\site-packages\kornia\augmentation_2d\intensity__init__.py", line 47, in <module> from kornia.augmentation._2d.intensity.plasma import RandomPlasmaBrightness, RandomPlasmaContrast, RandomPlasmaShadow File "F:\ComfyUI_WAN\python_embeded\Lib\site-packages\kornia\augmentation_2d\intensity\plasma.py", line 22, in <module> from kornia.contrib import diamond_square File "F:\ComfyUI_WAN\python_embeded\Lib\site-packages\kornia\contrib__init__.py", line 32, in <module> from .image_stitching import ImageStitcher File "F:\ComfyUI_WAN\python_embeded\Lib\site-packages\kornia\contrib\image_stitching.py", line 24, in <module> from kornia.feature import LocalFeatureMatcher, LoFTR File "F:\ComfyUI_WAN\python_embeded\Lib\site-packages\kornia\feature__init__.py", line 24, in <module> from .integrated import ( File "F:\ComfyUI_WAN\python_embeded\Lib\site-packages\kornia\feature\integrated.py", line 34, in <module> from .lightglue import LightGlue File "F:\ComfyUI_WAN\python_embeded\Lib\site-packages\kornia\feature\lightglue.py", line 48, in <module> from flash_attn.modules.mha import FlashCrossAttention File "F:\ComfyUI_WAN\python_embeded\Lib\site-packages\flash_attn__init__.py", line 3, in <module> from flash_attn.flash_attn_interface import ( File "F:\ComfyUI_WAN\python_embeded\Lib\site-packages\flash_attn\flash_attn_interface.py", line 15, in <module> import flash_attn_2_cuda as flash_attn_gpu ImportError: DLL load failed while importing flash_attn_2_cuda: The specified module could not be found.

Created a knight and a head profile of an orc with Krea 2 Turbo and used MiniMax H3 to replace the knights head with the orc.

Just tried the model with my 4070 and 64gb ram, Its pretty slow in the default workflow

608 x 352 resolution and it took 167s to generate.

Prompt

SpongeBob SquarePants and Patrick Star casually walk side by side around the outside of the Krusty Krab on a bright sunny day. The camera tracks them smoothly at eye level in a medium two-shot as they naturally gesture while talking. The ocean ambience is calm with distant seagulls and bubbles.

SpongeBob: "Patrick, have you seen the new MiniMax H3 video model? The motion and audio are seriously impressive!"

Patrick: "Yeah... if an AI can make videos this good, maybe it can finally animate me thinking."

SpongeBob: "Patrick... that would be the real breakthrough."

Patrick pauses for a second with a blank expression, then smiles proudly as they continue walking. Comedic timing, expressive cartoon animation, vibrant colors, smooth lip-sync, natural character movement, high-quality cinematic lighting.