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
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)
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)
[https://repo.radeon.com/rocm/windows/rocm-rel-7.2.1/torchaudio-2.9.1%2Brocm7.2.1-cp312-cp312-win\_amd64.whl](https://repo.radeon.com/rocm/windows/rocm-rel-7.2.1/torchaudio-2.9.1%2Brocm7.2.1-cp312-cp312-win_amd64.whl) [https://repo.radeon.com/rocm/windows/rocm-rel-7.2.1/torchvision-0.24.1%2Brocm7.2.1-cp312-cp312-win\_amd64.whl](https://repo.radeon.com/rocm/windows/rocm-rel-7.2.1/torchvision-0.24.1%2Brocm7.2.1-cp312-cp312-win_amd64.whl)
At this point you can type "python main.py" to launch comfy. I can generate 1024x1024 anima images with er\_sde + simple 30 steps in about 28 seconds.
If you have problem generating image you can try the following.
# Confirm that PyTorch is correctly installed
1. Verify if Pytorch is installed and detecting the GPU compute device. python -c "import torch" 2>nul && echo Success || echo Failure Expected result: Success
2. Enter command to test if the GPU is available. python -c "import torch; print(torch.cuda.is\_available())" Expected result: True
3. Enter command to display installed GPU device name. python -c "import torch; print(f'device name \[0\]:', torch.cuda.get\_device\_name(0))" Example result: device name \[0\]: Radeon RX 7900 XTX device name \[0\]: <Supported AMD GPU>
4. Enter command to display component information within current environment. python -m torch.utils.collect\_env Example result:PyTorch version: 2.9.1+rocm7.2.1 Is debug build: False CUDA used to build PyTorch: N/A ROCM used to build PyTorch: 7.2.53211-158bd99533OS: Microsoft Windows 11 Pro (10.0.26200 64-bit) GCC version: Could not collect Clang version: Could not collect CMake version: Could not collect Libc version: N/A
When I tried it I got some strange warning, but the test seems to run ok: Here is the log:
C:\\Users\\AMD> python -c "import torch" 2>nul && echo Success || echo Failure Success
C:\\Users\\AMD> python -c "import torch; print(torch.cuda.is\_available())" Program: Unknown command line argument 'Files\\Python312\\Lib\\site-packages\_rocm\_sdk\_core\\lib\\llvm\\bin\\offload-arch.exe'. Try: 'C:\\Program --help' True
C:\\Users\\AMD> python -c "import torch; print(f'device name \[0\]:', torch.cuda.get\_device\_name(0))" Program: Unknown command line argument 'Files\\Python312\\Lib\\site-packages\_rocm\_sdk\_core\\lib\\llvm\\bin\\offload-arch.exe'. Try: 'C:\\Program --help' device name \[0\]: AMD Radeon RX 9070 XT
C:\\Users\\AMD> python -m torch.utils.collect\_env Program: Unknown command line argument 'Files\\Python312\\Lib\\site-packages\_rocm\_sdk\_core\\lib\\llvm\\bin\\offload-arch.exe'. Try: 'C:\\Program --help' <frozen runpy>:128: RuntimeWarning: 'torch.utils.collect\_env' found in sys.modules after import of package 'torch.utils', but prior to execution of 'torch.utils.collect\_env'; this may result in unpredictable behaviour Collecting environment information... PyTorch version: 2.9.1+rocm7.2.1 Is debug build: False CUDA used to build PyTorch: N/A ROCM used to build PyTorch: 7.2.53211-158bd99533
OS: Microsoft Windows 11 Pro (10.0.26100 64-bit) GCC version: Could not collect Clang version: Could not collect CMake version: Could not collect Libc version: N/A
Python version: 3.12.0 (tags/v3.12.0:0fb18b0, Oct 2 2023, 13:03:39) \[MSC v.1935 64 bit (AMD64)\] (64-bit runtime) Python platform: Windows-11-10.0.26100-SP0 Is CUDA available: True CUDA runtime version: Could not collect CUDA\_MODULE\_LOADING set to: GPU models and configuration: AMD Radeon RX 9070 XT (gfx1201) Nvidia driver version: Could not collect cuDNN version: Could not collect Is XPU available: False HIP runtime version: 7.2.53211 MIOpen runtime version: 3.5.1 Is XNNPACK available: True
CPU: Name: AMD Ryzen 7 7800X3D 8-Core Processor Manufacturer: AuthenticAMD Family: 107 Architecture: 9 ProcessorType: 3 DeviceID: CPU0 CurrentClockSpeed: 4201 MaxClockSpeed: 4201 L2CacheSize: 8192 L2CacheSpeed: None Revision: 24834
Versions of relevant libraries: \[pip3\] numpy==2.4.5 \[pip3\] torch==2.9.1+rocm7.2.1 \[pip3\] torchaudio==2.9.1+rocm7.2.1 \[pip3\] torchvision==0.24.1+rocm7.2.1 \[conda\] Could not
At this point you can type "python main.py" to launch comfy. I can generate 1024x1024 anima images with er\_sde + simple 30 steps in about 28 seconds.
If you have problem generating image you can try the following.
# Confirm that PyTorch is correctly installed
1. Verify if Pytorch is installed and detecting the GPU compute device. python -c "import torch" 2>nul && echo Success || echo Failure Expected result: Success
2. Enter command to test if the GPU is available. python -c "import torch; print(torch.cuda.is\_available())" Expected result: True
3. Enter command to display installed GPU device name. python -c "import torch; print(f'device name \[0\]:', torch.cuda.get\_device\_name(0))" Example result: device name \[0\]: Radeon RX 7900 XTX device name \[0\]: <Supported AMD GPU>
4. Enter command to display component information within current environment. python -m torch.utils.collect\_env Example result:PyTorch version: 2.9.1+rocm7.2.1 Is debug build: False CUDA used to build PyTorch: N/A ROCM used to build PyTorch: 7.2.53211-158bd99533OS: Microsoft Windows 11 Pro (10.0.26200 64-bit) GCC version: Could not collect Clang version: Could not collect CMake version: Could not collect Libc version: N/A
When I tried it I got some strange warning, but the test seems to run ok: Here is the log:
C:\\Users\\AMD> python -c "import torch" 2>nul && echo Success || echo Failure Success
C:\\Users\\AMD> python -c "import torch; print(torch.cuda.is\_available())" Program: Unknown command line argument 'Files\\Python312\\Lib\\site-packages\_rocm\_sdk\_core\\lib\\llvm\\bin\\offload-arch.exe'. Try: 'C:\\Program --help' True
C:\\Users\\AMD> python -c "import torch; print(f'device name \[0\]:', torch.cuda.get\_device\_name(0))" Program: Unknown command line argument 'Files\\Python312\\Lib\\site-packages\_rocm\_sdk\_core\\lib\\llvm\\bin\\offload-arch.exe'. Try: 'C:\\Program --help' device name \[0\]: AMD Radeon RX 9070 XT
C:\\Users\\AMD> python -m torch.utils.collect\_env Program: Unknown command line argument 'Files\\Python312\\Lib\\site-packages\_rocm\_sdk\_core\\lib\\llvm\\bin\\offload-arch.exe'. Try: 'C:\\Program --help' <frozen runpy>:128: RuntimeWarning: 'torch.utils.collect\_env' found in sys.modules after import of package 'torch.utils', but prior to execution of 'torch.utils.collect\_env'; this may result in unpredictable behaviour Collecting environment information... PyTorch version: 2.9.1+rocm7.2.1 Is debug build: False CUDA used to build PyTorch: N/A ROCM used to build PyTorch: 7.2.53211-158bd99533
OS: Microsoft Windows 11 Pro (10.0.26100 64-bit) GCC version: Could not collect Clang version: Could not collect CMake version: Could not collect Libc version: N/A
Python version: 3.12.0 (tags/v3.12.0:0fb18b0, Oct 2 2023, 13:03:39) \[MSC v.1935 64 bit (AMD64)\] (64-bit runtime) Python platform: Windows-11-10.0.26100-SP0 Is CUDA available: True CUDA runtime version: Could not collect CUDA\_MODULE\_LOADING set to: GPU models and configuration: AMD Radeon RX 9070 XT (gfx1201) Nvidia driver version: Could not collect cuDNN version: Could not collect Is XPU available: False HIP runtime version: 7.2.53211 MIOpen runtime version: 3.5.1 Is XNNPACK available: True
CPU: Name: AMD Ryzen 7 7800X3D 8-Core Processor Manufacturer: AuthenticAMD Family: 107 Architecture: 9 ProcessorType: 3 DeviceID: CPU0 CurrentClockSpeed: 4201 MaxClockSpeed: 4201 L2CacheSize: 8192 L2CacheSpeed: None Revision: 24834
Versions of relevant libraries: \[pip3\] numpy==2.4.5 \[pip3\] torch==2.9.1+rocm7.2.1 \[pip3\] torchaudio==2.9.1+rocm7.2.1 \[pip3\] torchvision==0.24.1+rocm7.2.1 \[conda\] Could not
Anyone using LTX Desktop?
Hey Guys I have tried the LTX Desktop and it is really fast. It generated 10 sec video 720p 9:16 in just 2-3 minutes maximum.
I want to know if anyone else is using it, as I want to do some more stuffs with it.
https://redd.it/1thhj2v
@rStableDiffusion
Hey Guys I have tried the LTX Desktop and it is really fast. It generated 10 sec video 720p 9:16 in just 2-3 minutes maximum.
I want to know if anyone else is using it, as I want to do some more stuffs with it.
https://redd.it/1thhj2v
@rStableDiffusion
Reddit
From the StableDiffusion community on Reddit
Explore this post and more from the StableDiffusion community
ComfyUI Tutorial: Realistic AI Lip Sync Dubbing with LTX 2.3 LORA Low Vram workflow (6 Gb Vram,16 Gb of Ram)
https://youtu.be/5hmismj1LQc
https://redd.it/1thm9n8
@rStableDiffusion
https://youtu.be/5hmismj1LQc
https://redd.it/1thm9n8
@rStableDiffusion
YouTube
ComfyUI Tutorial: Realistic AI Lip Sync Dubbing with LTX 2.3 LORA Low Vram workflow #comfyui
Hello everyone, in this tutorial I will show you how to perform an ai lip sync dub using the new IC-Lora-Dub model. This model allows you to change language of any video using only a text prompt, creating accurate lip movements. We will explore a comfyui…
This took me like a Whole Week to Do. Steve got to Catchup Somehow.
https://www.youtube.com/watch?v=9QWClP2i-BU
https://redd.it/1thp2jn
@rStableDiffusion
https://www.youtube.com/watch?v=9QWClP2i-BU
https://redd.it/1thp2jn
@rStableDiffusion
YouTube
Captain America - We Didn't Start the Fire
Ive been working on this one for a while. I always thought this song would be perfect for Steve Rogers. Like a Crash Course in History. So i figured why not.
Update Characters generator - v1.3 Now with Anima! | Generation of detailed сharacter for full body
https://redd.it/1thtuk5
@rStableDiffusion
https://redd.it/1thtuk5
@rStableDiffusion
Reddit
From the StableDiffusion community on Reddit: Update Characters generator - v1.3 Now with Anima! | Generation of detailed сharacter…
Explore this post and more from the StableDiffusion community