hot fixes

playbooks/core/comfyui-image-gen/README.md

@@ -25,11 +25,24 @@ This tutorial teaches you how to use ComfyUI with the Z Image Turbo model on you
 ## Installing Dependencies
 
 <!-- @os:windows -->
-<!-- @require:comfyui,driver -->
+<!-- @require:driver,comfyui -->
 <!-- @os:end -->
 
 <!-- @os:linux -->
-<!-- @require:comfyui,rocm,driver,pytorch -->
+
+<!-- @device:halo,stx,krk,rx7900xt,rx9070xt -->
+#### Create a Virtual Environment
+On Linux, open a terminal in the directory of your choice and run the following prompt to create a venv:
+
+```bash
+sudo apt update
+sudo apt install -y python3-venv
+python3 -m venv llm-env
+source llm-env/bin/activate
+```
+<!-- @device:end -->
+
+<!-- @require:driver,rocm,pytorch,comfyui -->
 <!-- @os:end -->
 
 <!-- @os:windows -->

playbooks/core/lmstudio-rocm-llms/README.md

@@ -32,7 +32,7 @@ LM Studio is a powerful GUI-based wrapper for [llama.cpp](https://github.com/ggm
 Learn how to start chatting with a ChatGPT-grade LLM completely locally.  
 
 1. Open LMStudio. 
-2. Press `Ctrl + L` to open the Model Loader, select `Manually chose model load parameters`, and click on `GPT-OSS 120B`
+2. Press `Ctrl + L` to open the Model Loader, select `Manually choose model load parameters`, and click on `GPT-OSS 120B`
 3. Make sure "show advanced settings" is checked.  
 4. Change `Context Length` as desired. Higher context length means more model memory, but more system memory used. Recommended for this playbook is 4096.
 5. Make sure `GPU Offload` is set to maximum and `Flash Attention` is On
@@ -80,7 +80,7 @@ LM Studio also offers an OpenAI compliant endpoint in the form of LM Studio Serv
 
 To set up LM Studio Server, use the following instructions:
 
-1. On the left hand side, click on the `Developer` tab (command line icon) or `CTRL + 2` and then click on `Server Settings`.  
+1. On the left hand side, click on the `Developer` tab (command line icon) or `Ctrl + 2` and then click on `Server Settings`.  
 2. (Optional): If you want to serve the model over your LAN, check `Serve on Local Network`. If you want to use with a website or extensive calling within VS Code, check `Enable CORS`. 
 3. On the upper left corner, make sure the server is running by clicking on the toggle button in front of `Status`.
 4. An OpenAI compliant endpoint will now be running. The address is typically at http://127.0.0.1:1234  

playbooks/core/pytorch-rocm-llms/README.md

@@ -23,7 +23,7 @@ This tutorial uses PyTorch powered by AMD ROCm™ software to run models that ca
 
 ### Create a Virtual Environment
 
-<!-- @device:halo_box_ -->
+<!-- @device:halo_box -->
 <!-- @os:windows -->
 On Windows, open a terminal in the directory of your choice and follow the commands to create a venv with ROCm+Pytorch already installed.
 <!-- @test:id=create-venv timeout=60 -->
@@ -86,10 +86,10 @@ source llm-env/bin/activate
 
 ### Installing Basic Dependencies
 <!-- @os:linux -->
-<!-- @require:rocm,pytorch,driver -->
+<!-- @require:driver,rocm,pytorch -->
 <!-- @os:end -->
 <!-- @os:windows -->
-<!-- @require:pytorch,driver -->
+<!-- @require:driver,pytorch -->
 <!-- @os:end -->
 
 ### Installing Additional Dependencies

playbooks/dependencies/comfyui.md

@@ -17,38 +17,14 @@ SPDX-License-Identifier: MIT
 <!-- @os:end -->
 
 <!-- @os:linux -->
-
-#### Create a Virtual Environment
-<!-- @device:halo_box_ -->
-On Linux, open a terminal in the directory of your choice and run the following prompt to create a venv with ROCm+Pytorch already installed:
-
-```bash
-sudo apt update
-sudo apt install -y python3-venv
-python3 -m venv llm-env --system-site-packages
-source llm-env/bin/activate
-```
-<!-- @device:end -->
-
-<!-- @device:halo,stx,krk,rx7900xt,rx9070xt -->
-On Linux, open a terminal in the directory of your choice and run the following prompt to create a venv:
-
-```bash
-sudo apt update
-sudo apt install -y python3-venv
-python3 -m venv llm-env
-source llm-env/bin/activate
-```
-<!-- @device:end -->
-
 #### Clone ComfyUI
 ```bash
 git clone https://github.com/Comfy-Org/ComfyUI.git
 ```
 
-#### Optionally checkout a specific version
+#### (Optional) Checkout a specific version
 ```bash
-git checkout v0.17.2
+git checkout v0.19.2
 ```
 
 #### Install ComfyUI requirements

playbooks/dependencies/driver.md

@@ -4,9 +4,8 @@ Copyright Advanced Micro Devices, Inc.
 SPDX-License-Identifier: MIT
 -->
 
-### AMD GPU Driver
-
 <!-- @os:windows -->
+### AMD GPU Driver
 
 Update to the latest AMD GPU driver using `AMD Software: Adrenalin Edition™`.
 
@@ -22,10 +21,12 @@ Get-CimInstance Win32_VideoController | Select-Object Name, DriverVersion
 <!-- @os:end -->
 
 <!-- @os:linux -->
+<!-- @device:rx7900xt,rx9070xt -->
+### AMD GPU Driver
 
 Download and install the latest AMD GPU driver for Linux:
 
-1. Visit the [AMD Linux Drivers](https://amd.com/en/support/download/linux-drivers.html) page.
+1. Visit the [AMD Linux Drivers](https://www.amd.com/en/support/download/linux-drivers.html) page.
 2. Follow the installation instructions provided on the download page.
 
 <!-- @test:id=amd-gpu-visible-linux timeout=60 hidden=True -->
@@ -39,4 +40,5 @@ test -d /opt/rocm
 test -e /opt/rocm/lib/libroctx64.so.4 -o -e /opt/rocm/lib/libroctx64.so
 ```
 <!-- @test:end --> 
+<!-- @device:end -->
 <!-- @os:end -->

playbooks/dependencies/rocm.md

@@ -6,54 +6,44 @@ SPDX-License-Identifier: MIT
 
 ### ROCm
 
-<!-- @device:halo_box,halo,stx -->
-#### 1. Install AMD ROCm™ software on Linux (Ubuntu 24.04)
-
-These steps install the **system ROCm 7.2.1 runtime** on Ubuntu 24.04.
-> Note: ROCm is a **system-wide install** on Linux.
-
+**Add the current user to the render and video groups.** Restart your system following these commands.
 ```bash
-sudo apt update
-wget https://repo.radeon.com/amdgpu-install/7.2.1/ubuntu/noble/amdgpu-install_7.2.1.70201-1_all.deb
-sudo apt install ./amdgpu-install_7.2.1.70201-1_all.deb
-sudo amdgpu-install -y --usecase=rocm --no-dkms
+sudo usermod -a -G render,video $LOGNAME
 ```
-
-#### 2. Set the correct user permissions
+#### Install ROCm into a virtual environment
+<!-- @device:halo,halo_box -->
+<!-- @test:id=install-rocm timeout=300 setup=activate-venv -->
 ```bash
-sudo usermod -aG render,video $USER
-```
+python -m pip install --upgrade pip
+python -m pip install --index-url https://repo.amd.com/rocm/whl/gfx1151/ "rocm[libraries,devel]"
 
-#### 3. Reboot the system
-```bash
-sudo reboot
 ```
-This is important for the runtime stack and permissions to settle.
-
-#### 4. Verify that ROCm is installed correctly and usable
+<!-- @test:end -->
+<!-- @device:end -->
 
-<!-- @test:id=verify-linux-rocm-installation timeout=180 -->
+<!-- @device:krk -->
+<!-- @test:id=install-pytorch timeout=300 setup=activate-venv -->
 ```bash
-# Check ROCm path (paths should exist)
-ls -l /opt/rocm
-ls -l /opt/rocm/lib/libroctx64.so*
-
-# Check ROCm device files (Device files owned by the render group should be visible)
-ls -l /dev/kfd
-ls -l /dev/dri/renderD* 
+python -m pip install --upgrade pip
+python -m pip install --index-url https://repo.amd.com/rocm/whl/gfx1152/ "rocm[libraries,devel]"
 
-# Check user groups ($USER should be listed in both render and video)
-id
-groups
-
-# Check ROCm with rocminfo ('Permission denied' error should NOT be seen)
-rocminfo | sed -n '1,120p'
-
-# Check installed ROCm version
-cat /opt/rocm/.info/version
 ```
 <!-- @test:end -->
+<!-- @device:end -->
 
-Refer this [official documentation](https://rocm.docs.amd.com/projects/radeon-ryzen/en/latest/docs/install/installryz/native_linux/install-ryzen.html) for more info.
+<!-- @device:stx -->
+<!-- @test:id=install-pytorch timeout=300 setup=activate-venv -->
+```bash
+python -m pip install --upgrade pip
+python -m pip install --index-url https://repo.amd.com/rocm/whl/gfx1150/ "rocm[libraries,devel]"
 
+```
+<!-- @test:end -->
 <!-- @device:end -->
+
+<!-- @device:rx7900xt,rx9070xt -->
+```bash
+python -m pip install --upgrade pip
+python -m pip install --index-url https://repo.amd.com/rocm/whl/gfx120x-all/ "rocm[libraries,devel]"
+```
+<!-- @device:end -->