# Stable Diffusion
Ryzen AI 1.9.0 provides preview demos of Stable Diffusion image-generation pipelines.
The demos cover **Image-to-Image** (ControlNet: Canny, Pose, Tile, Depth; plus Segmind-Vega
i2i without ControlNet) and **Text-to-Image** for SD1.5, SD-Turbo, SDXL-base, SDXL-Turbo,
Segmind-Vega, DreamShaper XL Lightning, SSD-1B, Playground v2.5, FLUX.1-Schnell,
FLUX.2-klein-4B, SD3.0, and SD3.5, with **inpainting** where noted for SD3.0.
Models are fetched from Hugging Face on first use (see [Installation Instructions](https://ryzenai.docs.amd.com/en/latest/inst.html) for Ryzen AI and driver
setup). SD3.0 and SD3.5 models require Hugging Face authentication and might also require
acceptance of the model license before they can be downloaded.
## Installation Steps
1. Ensure the latest version of Ryzen AI and NPU drivers are installed. See [Installation Instructions](https://ryzenai.docs.amd.com/en/latest/inst.html).
2. The GenAI-SD folder is located in the RyzenAI installation tree. Navigate to the
folder and run the following command:
```powershell
$env:RYZEN_AI_INSTALLATION_PATH = "C:\Program Files\RyzenAI\ryzen-ai-1.9.0"
& "$env:RYZEN_AI_INSTALLATION_PATH\Scripts\Activate.ps1"
cd "$env:RYZEN_AI_INSTALLATION_PATH\GenAI-SD"
```
3. Models are downloaded from Hugging Face on first use and cached under
`GenAI-SD\models` or `$env:RYZENAI_GENAI_SD_MODELS_ROOT`. See [supported-models]()
for the full list; primary entry points include:
- [SD1.5](https://huggingface.co/amd/stable-diffusion-1.5-amdnpu)
- [SD1.5 ControlNet Canny](https://huggingface.co/amd/sd1.5-controlnet-canny-amdnpu)
- [SD-Turbo](https://huggingface.co/stabilityai/sd-turbo-amdnpu)
- [SDXL-Turbo](https://huggingface.co/stabilityai/sdxl-turbo-amdnpu)
- [SDXL-base](https://huggingface.co/stabilityai/sdxl-base-amdnpu)
- [Segmind-Vega](https://huggingface.co/amd/segmind-vega-amdnpu)
- [DreamShaper XL Lightning](https://huggingface.co/amd/dreamshaper-xl-lightning-amdnpu)
- [SSD-1B](https://huggingface.co/amd/SSD-1B-amdnpu)
- [Playground v2.5 1024px](https://huggingface.co/amd/playground-v2.5-1024px-aesthetic-amdnpu)
- [FLUX.1-Schnell](https://huggingface.co/amd/FLUX.1-schnell-amdnpu)
- [FLUX.2-klein-4B](https://huggingface.co/amd/FLUX.2-klein-4B-amdnpu)
- [SD3.0](https://huggingface.co/stabilityai/stable-diffusion-3-medium-amdnpu)
- [SD3.5](https://huggingface.co/stabilityai/stable-diffusion-3.5-medium-amdnpu)
## Supported models
The following summarizes default application mode, typical resolution /
dynamic-resolution (DynRes) notes, and the recommended Hugging Face `model_id` on
AMD NPU-tuned repos.
| Notes | Model | App | Default resolution / DynRes | `model_id` (AMD Hub; `stabilityai` equivalent where applicable) |
|---------|--------------------------|------------------------------------------------|----------------------------------------------------|-----------------------------------------------------------------------|
| | SD1.5 | t2i | 512x512 | `amd/stable-diffusion-1.5-amdnpu` |
| New | SD1.5 | i2i-canny | 512x512 | `amd/sd1.5-controlnet-canny-amdnpu` |
| | SD-Turbo | t2i | 512x512 | `amd/sd-turbo-amdnpu` (or `stabilityai/sd-turbo-amdnpu`) |
| | SDXL-Turbo | t2i | 512x512, 5x DynRes | `amd/sdxl-turbo-amdnpu` (or `stabilityai/sdxl-turbo-amdnpu`) |
| | SDXL-base | t2i | 1024x1024, 20x DynRes | `amd/sdxl-base-amdnpu` (or `stabilityai/sdxl-base-amdnpu`) |
| | Segmind-Vega | t2i / i2i | 1024x1024 | `amd/segmind-vega-amdnpu` |
| New | DreamShaper XL Lightning | t2i | 1024x1024, 20x DynRes | `amd/dreamshaper-xl-lightning-amdnpu` |
| New | SSD-1B | t2i | 1024x1024, 20x DynRes | `amd/SSD-1B-amdnpu` |
| New | Playground v2.5 | t2i | 1024x1024, 20x DynRes | `amd/playground-v2.5-1024px-aesthetic-amdnpu` |
| New | FLUX.1-Schnell | t2i | 1024x1024, 20x DynRes | `amd/FLUX.1-schnell-amdnpu` |
| New | FLUX.2-klein-4B | t2i | 1024x1024 | `amd/FLUX.2-klein-4B-amdnpu` |
| | SD3.0 | t2i / ControlNet / Depth / Canny / Pose / Tile | 512x512 (t2i default), 20x DynRes where applicable | `stabilityai/stable-diffusion-3-medium-amdnpu` |
| New | SD3.0 | i2i-inpainting | 1024x1024 | `stabilityai/stable-diffusion-3-medium-amdnpu` |
| | SD3.5 | t2i / ControlNet | 512x512 (t2i default), 20x DynRes where applicable | `stabilityai/stable-diffusion-3.5-medium-amdnpu` |
| | SD3.5-ControlNet (Canny) | i2i-canny | 512x512, 20x DynRes | Uses SD3.5 AMD weights plus SD3.0 Canny ControlNet assets (see below) |
In the Supported models table, the **DynRes** column counts how many dynamic-resolution
presets a pipeline exposes (for example 5x or 20x). The following material spells out which
width x height pairs are in scope.
### Dynamic resolution (DynRes)
**Original dynamic-resolution requirements**
These are the classic fixed pairs (per model class) before the expanded preset grid.
* **DynRes 5x:** 512x512, 288x512, 512x288, 384x512, 512x384.
* **DynRes 20x:**
#### New DynRes combinations (batch size 1; align to multiple of 32 as required)
| Aspect (WxH) | Base 512x512 | Base 640x640 | Base 768x768 | Base 1024x1024 |
|----------------|----------------|----------------|----------------|------------------|
| 1:1 | 512x512 | 640x640 | 768x768 | 1024x1024 |
| 4:3 | 512x384 | 640x480 | 768x576 | 1024x768 |
| 3:4 | 384x512 | 480x640 | 576x768 | 768x1024 |
| 16:9 | 512x288 | 640x384 | 768x448 | 1024x576 |
| 9:16 | 288x512 | 384x640 | 448x768 | 576x1024 |
Public model pages follow the Hugging Face model license (HF LIC) for each repo.
**SD3.5 Canny ControlNet setup:** copy the SD3.0 Canny ControlNet files into the SD3.5
model layout as required by your GenAI-SD tree (per release notes), then run the Canny
example with `--model_id amd/stable-diffusion-3.5-medium-amdnpu`.
## Deploy Models on NPU
This page elaborates on running Stable Diffusion Models on NPU: [Running Models on NPU](https://ryzenai.docs.amd.com/en/latest/sd_demo.html)