Update README.md

README.md

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-license: creativeml-openrail-m
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+---
+license: creativeml-openrail-m
+---
+# Image Generation NPU Models – SD 1.5
+
+This repository contains the ONNX models and runtime libraries required to run the image generation pipeline on AMD NPUs.
+
+The folder structure is organized to mirror the main components of the diffusion pipeline (UNet, VAE decoder, text encoder, tokenizer and scheduler), plus the platform-specific runtime libraries.
+
+---
+
+## Repository structure
+
+```
+.
+├─ libs/
+├─ scheduler/
+├─ text_encoder/
+├─ tokenizer/
+├─ unet/
+└─ vae_decoder/
+```
+
+### `libs/`
+This folder contains the dynamic libraries (`.dll`) required at runtime by the NPU backend.
+They must be placed in a location where the application can load them (e.g., in the same folder as the executable or in the system `PATH`).
+
+### `unet/`
+This folder contains the UNet model used in the diffusion process.
+The UNet is exported and structured specifically to leverage the AMD NPU accelerator for the denoising steps.
+
+### `vae_decoder/`
+This folder contains the VAE decoder model used to map latent representations back to the image space.
+The VAE decoder is also structured to make use of the NPU accelerator for efficient image reconstruction.
+
+### `text_encoder/`
+This folder contains the text encoder model used to convert the input prompt into conditioning embeddings for the diffusion model.
+
+### `tokenizer/`
+This folder contains the tokenizer configuration and vocabulary files required to preprocess the text prompt before it is fed to the text encoder.
+
+### `scheduler/`
+This folder contains the scheduler configuration (timesteps, betas, alphas, etc.) used during the diffusion sampling process.
+
+---
+
+## Release 1113
+
+This release corresponds to the **Procyon Image Generation – 1113 build**.
+
+**Included in this version:**
+- Updated UNet and VAE Decoder models optimized for AMD NPU execution.
+- Synchronized text encoder, tokenizer, and scheduler components aligned with the 1113 pipeline.
+- Updated runtime DLLs in the `libs/` folder.
+- Improved model folder structure for compatibility with Procyon and NPU execution environments.
+
+**Notes:**
+- All ONNX models in this release are validated with the 1113 test package.
+- Ensure that the DLLs from `libs/` are correctly placed in the application’s search path.
+- This release is intended for NPU execution; GPU versions are hosted separately.
+
+---
+
+## Notes
+
+- UNet and VAE decoder models are optimized and structured to run on AMD NPUs.
+- The other components (text encoder, tokenizer and scheduler) are shared between GPU and NPU pipelines, but are provided here for completeness.
+- Please refer to the associated application or benchmark documentation for detailed integration and usage instructions (e.g., how to set model paths, environment variables and library search paths).
+
+---