diff --git a/README.md b/README.md
index 72928dd..8d0c515 100644
--- a/README.md
+++ b/README.md
@@ -177,6 +177,7 @@ The model is accessible right away via the following links:
 ### Installation
 The codebase was tested with Python 3.10.5, CUDA version 12.2, and supports PyTorch >= 2.1.2.
 On macOS, MPS was tested with PyTorch 2.3.0, and should support PyTorch == 2.3 or >= 2.6.
+(**For AMD Instinct/ROCm, see the section below.**)
 
 ```bash
 git clone https://github.com/Lightricks/LTX-Video.git
@@ -188,6 +189,22 @@ source env/bin/activate
 python -m pip install -e .\[inference\]
 ```
 
+#### Installation for AMD Instinct GPUs 
+Tested on Python 3.11 with PyTorch 2.8.0 (ROCm 6.4) on Linux x86_64. To install on AMD Instinct GPUs, run:
+
+```bash
+git clone https://github.com/Lightricks/LTX-Video.git
+cd LTX-Video
+
+# create env
+python -m venv env
+source env/bin/activate
+pip install -e .[inference] \
+  -c constraints/rocm6.4.txt \
+  --index-url https://download.pytorch.org/whl/rocm6.4 \
+  --extra-index-url https://pypi.org/simple
+```
+
 #### FP8 Kernels (optional)
 
 [FP8 kernels](https://github.com/Lightricks/LTXVideo-Q8-Kernels) developed for LTX-Video provide performance boost on supported graphics cards (Ada architecture and later). To install FP8 kernels, follow the instructions in that repository.
diff --git a/constraints/rocm6.4.txt b/constraints/rocm6.4.txt
new file mode 100644
index 0000000..be0aa63
--- /dev/null
+++ b/constraints/rocm6.4.txt
@@ -0,0 +1,2 @@
+torch==2.8.0+rocm6.4
+torchvision==0.23.0+rocm6.4
\ No newline at end of file