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frontend/core/pipelines/stable-diffusion-2/README.md

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+# Stable Diffusion Image Generation Pipeline
+
+This repository contains a Python function `compute` to generate images based on textual descriptions using the Stable Diffusion model. The function utilizes the `diffusers` library and GPU acceleration for efficient image generation.
+
+## Features
+
+- Generate high-quality images from textual prompts.
+- Supports inference using the Euler Discrete Scheduler for diffusion.
+- Utilizes GPU acceleration with `float16` for enhanced performance.
+
+---
+
+## Usage
+The compute function accepts a textual description (prompt) and the number of inference steps to generate an image. The generated image is saved as result.png in the current working directory.
+
+## Function Parameters
+- prompt (str): Text description of the desired image.
+- inference_steps (int): Number of diffusion steps for the generation process.
+- Return Value:
+The function returns a dictionary containing the path to the generated image:
+
+## Model used
+- https://huggingface.co/stabilityai/stable-diffusion-2