docs: Add initial draft of main README.md

This commit introduces an initial draft for the `README.md` file on the project page. The document currently serves as a preliminary version and will be enhanced with additional details in subsequent updates.

README.md

@@ -1,3 +1,36 @@
----
-license: mit
----
+---
+license: mit
+base_model:
+- PixArt-alpha/PixArt-Sigma-XL-2-1024-MS
+- stable-diffusion-v1-5/stable-diffusion-v1-5
+---
+
+# TinyBreaker: Hybrid Image Generation Model
+
+## Overview
+
+**TinyBreaker** is a hybrid model designed for efficient image generation even on mid and low-end hardware! By integrating the strengths of both PixArt and SD1.5 (Photon) models, TinyBreaker offers an elegant solution that doesn't compromise on quality or performance.
+
+### Key Features
+
+- **Hybrid Model Architecture**: Combines base image generation with PixArt and refinement using Photon (or any SD1 model), optimized for minimal parameter use.
+- **Efficient Parameter Use**: A lean 0.6 billion parameters in the base model enable high-quality images without hefty computational demands.
+- **Quick Performance**: Generate stunning images of size 1536×1024 in approximately ~12 seconds on an NVIDIA RTX 3080 GPU, with ongoing efforts to achieve sub-10-second generation times.
+- **High Prompt Adherence**: Ensures generated images are closely aligned with user instructions and expectations due to PixArt model integration.
+- **Optimized Latent Space Handling**: Utilizes Tiny Autoencoders for efficient latent space conversion, streamlining the input-to-image process.
+
+### Current Usage
+
+TinyBreaker is currently utilizable via ComfyUI. To use TinyBreaker, you'll need to install custom nodes specific to this model through [ComfyUI-TinyBreaker on GitHub](https://github.com/martin-rizzo/ComfyUI-TinyBreaker).
+
+Note: The current prototype0 version of TinyBreaker utilizes PixArt Sigma 1024 + Photon (SD1.5) without additional training or fine-tuning.
+
+
+## Limitations
+
+- **Text Generation**: Currently, generating legible text within images is a challenge due to PixArt's training limitations. Enhancements in this area may require extensive retraining.
+
+## Future Directions
+
+I'm dedicated to enhancing TinyBreaker's speed and accessibility, particularly for users with mid-range or lower-end hardware setups. Look forward to future updates as I work on enhancing TinyBreaker's capabilities.
+