are these models outdated?
https://redd.it/1tgqzkm
@rStableDiffusion

How to use LTX Director - A Free Tool for Creating Advanced LTX 2.3 Videos in ComfyUI
https://youtu.be/vM60pJJqqEI

https://redd.it/1tgyrsa
@rStableDiffusion

Trying to distill the soon-to-be-sunset Imagen 4 to a LoRA for Illustrious 2.0 but the result is a bit wonky, would appreciate some pointers

https://redd.it/1th114r
@rStableDiffusion

Does anyone have any information on when Amina-Turbo will be released?
https://redd.it/1th0u76
@rStableDiffusion

balancing batch automation vs manual cherry-picking for large character sets?

hey guys, quick workflow question for the power users here!

so i’ve been trying to scale up my generation workflow lately, basically running huge batches using wildcards and dynamic prompts to cycle through a massive library of different character styles and fandom concepts.

the issue i’m running into is consistency vs time. if i let a massive script run overnight, i get tons of variety, but the quality is all over the place and i end up spending hours just manually cherry-picking the good gens and weeding out the bad hands/weird anatomy. but if i micro-manage every single prompt and seed, it takes forever.

how do you guys optimize your pipelines when you're generating a ton of content? do you rely heavily on automated scoring/filtering tools, or do you just accept the manual curation grind as part of the process?

would love to know how you keep your sanity while managing a huge output volume lol. thanks!!

https://redd.it/1th5dbk
@rStableDiffusion

Full Head swap model that make sure Facial features are so strong as well as head size matching of the target

Hey guys, I hope everyone is having great day.
I'm currently working on a project where I need to swap entire head between two images.
I have tried all sort of models, both open source and commercial and always got stuck between two priorities when one gets fulfilled the other doesn't.
First priority is that facial features should look so strong so that the person is so well recognizable as the source.

Second ( which is what most commercial models fail with), is that head should be resized to match target.

Third (not really strong priority semi priority) : adaption of body color or style, for example changing body color slightly to match head color of the source.

There other things like, Copying Facial emotions from target and head position, but these are not priorities. For commercial models I think i have tried every possible model out there.
And for open source models, I have tried bfs with Qwen basically have tried everything in this repo https://huggingface.co/Alissonerdx/BFS-Best-Face-Swap and it worked well for head size matching target, but facial expressions got so weak.
I was wondering can I find a workflow that fulfills my priorities very well, even if it requires large models size.

https://redd.it/1th6ohk
@rStableDiffusion

HY World + Sharp, 360 Panorama Gaussian Splat

https://redd.it/1th9yg0
@rStableDiffusion

LumiPic: Oumoumad's (LTX lora fame) SDR->HDR conversion LoRAs for Qwen, soon Kline Base 4 & 9
https://huggingface.co/oumoumad/LumiPic

https://redd.it/1thc7m8
@rStableDiffusion

Installing ComfyUI + PyTorch for AMD ROCm 7.2, using official drivers.

https://preview.redd.it/0z8hpiefc02h1.png?width=1280&format=png&auto=webp&s=a188e2160d709030b7ed661d4acd4a42f5bde886

Just upgraded my desktop (16G Radeon RX 9070 XT, 32G system RAM) from ROCm 6.4 to ROCm 7.2 on Windows 11 and this is the process I went through. Sources of information:

* [https://www.reddit.com/r/ROCm/comments/1qj9eom/rocm\_72\_official\_installation\_instructions/](https://www.reddit.com/r/ROCm/comments/1qj9eom/rocm_72_official_installation_instructions/)
* [https://www.reddit.com/r/ROCm/comments/1qj9eom/rocm\_72\_official\_installation\_instructions/](https://www.reddit.com/r/ROCm/comments/1qj9eom/rocm_72_official_installation_instructions/)
* [https://rocm.docs.amd.com/projects/radeon-ryzen/en/latest/docs/install/installrad/windows/install-pytorch.html#](https://rocm.docs.amd.com/projects/radeon-ryzen/en/latest/docs/install/installrad/windows/install-pytorch.html#)

Edit: this is a fairly manual process where I only install what is need to run. There are probably easier ways to get ComfyUI working, such as using the ComfyUI desktop installer, or using the AMD "A.I. bundle" that is an optional part of the Adrenalin installer.



# Install Python 3.12.0 (later version should work too)

[https://www.python.org/ftp/python/3.12.0/python-3.12.0-amd64.exe](https://www.python.org/ftp/python/3.12.0/python-3.12.0-amd64.exe)

MD5 checksum: 32ab6a1058dfbde76951b7aa7c2335a6

I choose "custom install" and set "Install for all users" to "c:\\Program Files\\Python312" (Note:

Make sure you let it add the python paths to the environment)

# Install AMD Display driver Adrenalin Edition 26.2.2

(Uninstall any old driver first. I used the AMD Cleanup Utility: [https://drivers.amd.com/drivers/amdcleanuputility.exe](https://drivers.amd.com/drivers/amdcleanuputility.exe) from [https://www.amd.com/en/resources/support-articles/faqs/GPU-601.html](https://www.amd.com/en/resources/support-articles/faqs/GPU-601.html))

[https://drivers.amd.com/drivers/whql-amd-software-adrenalin-edition-26.2.2-win11-c.exe](https://drivers.amd.com/drivers/whql-amd-software-adrenalin-edition-26.2.2-win11-c.exe) [https://www.amd.com/en/resources/support-articles/release-notes/RN-RAD-WIN-26-2-2.html](https://www.amd.com/en/resources/support-articles/release-notes/RN-RAD-WIN-26-2-2.html)

Note: my GPU is used for A.I. only, I don't know if this driver is any good for gaming.

# Install ComfyUI

cd d:\\ (assuming it will be installed at d:\\ComfyUI

git clone [https://github.com/comfyanonymous/ComfyUI.git](https://github.com/comfyanonymous/ComfyUI.git)

cd d:\\ComfyUI

(Activate virtual env)

py -V:3.12 -m venv 3.12.venv

.\\3.12.venv\\Scripts\\activate

At this point, if you try to run ComfyUI you'll get an error about "CUDA not found", that is because the PyTorch installed by default is the NVIDIA/CUDA version.

# Install ROCm 7.2 specific version of PyTorch via PIP

a. Setup ROCm environment.

pip install --no-cache-dir [https://repo.radeon.com/rocm/windows/rocm-rel-7.2.1/rocm\_sdk\_core-7.2.1-py3-none-win\_amd64.whl](https://repo.radeon.com/rocm/windows/rocm-rel-7.2.1/rocm_sdk_core-7.2.1-py3-none-win_amd64.whl) [https://repo.radeon.com/rocm/windows/rocm-rel-7.2.1/rocm\_sdk\_devel-7.2.1-py3-none-win\_amd64.whl](https://repo.radeon.com/rocm/windows/rocm-rel-7.2.1/rocm_sdk_devel-7.2.1-py3-none-win_amd64.whl) [https://repo.radeon.com/rocm/windows/rocm-rel-7.2.1/rocm\_sdk\_libraries\_custom-7.2.1-py3-none-win\_amd64.whl](https://repo.radeon.com/rocm/windows/rocm-rel-7.2.1/rocm_sdk_libraries_custom-7.2.1-py3-none-win_amd64.whl) [https://repo.radeon.com/rocm/windows/rocm-rel-7.2.1/rocm-7.2.1.tar.gz](https://repo.radeon.com/rocm/windows/rocm-rel-7.2.1/rocm-7.2.1.tar.gz)

b. Install torch, torchvision and torchaudio for ROCm AMD GPU support.

pip install --no-cache-dir [https://repo.radeon.com/rocm/windows/rocm-rel-7.2.1/torch-2.9.1%2Brocm7.2.1-cp312-cp312-win\_amd64.whl](https://repo.radeon.com/rocm/windows/rocm-rel-7.2.1/torch-2.9.1%2Brocm7.2.1-cp312-cp312-win_amd64.whl)