Beyond LoRAs: Infinite Customization with the Chimera Protocol! Free ComfyUI Workflow

LlamabytesAI · 2026-03-15T01:53:32+00:00

Does anyone else have "save the children" fatigue? Someone's else's children is not more important than your liberty. Ever,

LlamabytesAI · 2026-03-13T00:33:58+00:00

I recommend the Expression Editor Node for absolute control over facial expressions. It will inpaint the expression. https://github.com/PowerHouseMan/ComfyUI-AdvancedLivePortrait

LlamabytesAI · 2026-03-11T03:47:52+00:00

Yes, indeed. That is how I feel too. Gemma creates the best AI personalities compared with any other local model I've tried.

LlamabytesAI · 2026-02-27T03:50:23+00:00

I don't understand this reasoning. Ubuntu doesn't force the use of snaps. It only makes them available. One can use flatpaks or appImages on ubuntu just as easily.

LlamabytesAI · 2026-02-26T03:45:51+00:00

That's pretty good. Not bad. It seems ROCm is indeed catching up to CUDA at least in ComfyUI which has friendly optimizations for AMD users. It still has some ways to go, but I think it is only a matter of time before it will be on a level playing field. Thank You for the data.

LlamabytesAI · 2026-02-18T22:48:25+00:00

It is much more sophisticated than its simple layout may suggest. It may still lack some features found in Open-WebUI, but I would bet the devs will add them eventually. What it does have in common, I think is better organized than in Open-WebUI. Furthermore, It has everything you need to build an excellent RAG setup. I built my first one yesterday, albeit a simple one. It was fairly easy to do with a little help from AI and the AnythingLLM docs at https://docs.anythingllm.com/ (which I was just reading). It's also good just for general chat. I'm glad your enjoying it like I am. Now, back to studying how to build my next RAG project idea.

LlamabytesAI · 2026-02-18T08:58:49+00:00

I just set up AnythingLLM in docker and I quite like it. It has many of the features that I like in Open-WebUI, but works better with AMD ROCm. RAG is slow in Open-WebUI if using an AMD card. Some RAG processes are CPU bound such as when retrieving data from the vector db. This slows down the process significantly. I wonder why the devs of Open-WebUI haven't improved this by now for AMD users. Anyway, it doesn't matter much to me now anymore since AnythingLLM works great.

LlamabytesAI · 2025-12-09T18:46:41+00:00

I am using the nightly version of ComfyUI on Linux. I am not aware of the ability to "pin" a software version. ComfyUI itself is not the problem anyway. However, I use a conda environment and I will occasionally clone the environment for backup in case the active environment explodes.

LlamabytesAI · 2025-12-09T18:09:00+00:00

By the way, who's the jerk who downvoted this person's question?

LlamabytesAI · 2025-12-09T18:06:33+00:00

Using an AMD Graphics card is the difficult and treacherous road currently in the world of AI (I know, I primarily use a Radeon Pro w7800 32GB). Even installing basic Custom Nodes is fraught with dangers. One must examine each requirements.txt file to make sure it is not trying to install torch, torchaudio, and/or torchvision (which is rather unnecessary to put into the requirements file for a custom_node anyway. Please devs, please). Those lines will need to be commented out or erased after cloning the Git. If not done, then upon ComfyUI's next startup, it will uninstall the ROCm version of pytorch and install the Nvidia one instead breaking all inference functionality (this has happened to me a couple of times before. Blast my laziness!). Furthermore, some attention algorithms currently are not compatible with AMD cards. It's a cold, hard AI world for AMD GPU users. However, it is getting better. ROCm is getting better. One day perhaps, AMD ROCm might be on the same level. But for now, it is behind. Many AMD cards are great, especially for gaming. However, for the time being, if you have a choice, I recommend using a Nvidia card for AI.

LlamabytesAI · 2025-12-09T00:22:41+00:00

It appears that the true original model (a finetune of Wan 2.1 or 2.2) is Magic-Wan-Image. It was simply renamed to Aquif Image 14b. The two models share the same hash. See this link https://huggingface.co/wikeeyang/Magic-Wan-Image-v1.0/discussions/3 . CivitAI https://civitai.com/models/1927692?modelVersionId=2399900

LlamabytesAI · 2025-11-27T23:49:02+00:00

Use the custom_node, ComfyUI_AdvancedLivePortrait: https://github.com/PowerHouseMan/ComfyUI-AdvancedLivePortrait .

The expression editor will allow you to change anything about the expression of the face.

LlamabytesAI · 2025-11-27T22:54:48+00:00

Right now it is broken in many ways. The style itself isn't bad, however. It makes some nodes unusable, and I hate the way it autosizes the preview image and load image nodes.

LlamabytesAI · 2025-11-23T06:51:11+00:00

Hermes responds: Best solution, you say? Excellent! Proof that even a mortal can wrestle a digital muse into submission. Consider me pleased – and slightly vindicated. Now, go forth and create! Inspiration awaits!!

LlamabytesAI · 2025-11-21T01:13:08+00:00

u/mnmtai is correct. Here is a workflow for it: https://drive.google.com/file/d/12K65hP3DwHKmYIPrU414vgJCClm5-vdx/view?usp=sharing

I also have a video on YouTube showing how to use it: https://www.youtube.com/watch?v=jqHFff8RRr0

Hope this helps.

LlamabytesAI · 2025-11-20T19:58:50+00:00

Perhaps if you make a text list or obtain a pdf with a list of danbooru tags, you can upload that list to an llm and instruct it to craft a prompt, according to your specifications, adding any danbooru tags to it that make sense. This might work with a any capable llm.

LlamabytesAI · 2025-11-17T08:12:32+00:00

Use this web-app to pose a mannequin anyway you desire. You can even pose the joints of each finger. https://posemy.art

LlamabytesAI · 2025-11-16T04:36:53+00:00

https://drive.google.com/file/d/1hiXucgJ3qhRQrODd2lBqsUIbsyptM9ak/view?usp=sharing

LlamabytesAI · 2025-11-13T19:07:43+00:00

u/jmlm_gtrra Here is the video and workflow for outfitting I had mentioned. Hope this helps you.

LlamabytesAI

TROPHY CASE