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---
title: Stable Diffusion Using Text Inversion
emoji: 🌖
colorFrom: gray
colorTo: purple
sdk: gradio
sdk_version: 5.22.0
app_file: app.py
pinned: false
short_description: Stable Diffusion using Text Inversion
---
# Stable Diffusion using Text Inversion
A Gradio web application that generates images using Stable Diffusion with various text inversion concepts and loss functions.
## Features
- Generate images using Stable Diffusion v1.4
- Apply different artistic styles using text inversion concepts:
- Dreams
- Midjourney Style
- Moebius
- Marc Allante
- WLOP
- Automatic application of multiple loss functions:
- No Loss (Base generation)
- Blue Channel Loss
- Elastic Transformation Loss
- Symmetry Loss
- Saturation Loss
- User-friendly interface with preset prompts and custom prompt input
- Side-by-side comparison of different loss function effects
## Usage
1. Select a preset prompt or enter your own custom prompt
2. Choose a style concept from the dropdown menu
3. Click "Submit" to generate images
4. View the results showing different loss function effects side by side
## Installation
1. Clone this repository
2. Install the required dependencies:
```bash
pip install -r requirements.txt
```
3. Run the application:
```bash
python app.py
```
## Requirements
- Python 3.7+
- PyTorch
- Diffusers
- Transformers
- Gradio
- Torchvision
- PIL
## Model Details
The application uses the CompVis/stable-diffusion-v1-4 model with text inversion concepts from the Hugging Face SD concepts library. The model runs with float16 precision and supports CUDA, MPS, and CPU devices.
## License
This project uses the CompVis/stable-diffusion-v1-4 model which is subject to the CreativeML Open RAIL-M license. |