HuggingFace Training and Stable Diffusion UI Generation

This repository contains multiple projects using HuggingFace's diffusers and transformers libraries for training models, generating images, and performing text-related tasks such as sentiment analysis and text classification. The projects within this repository cover a wide range of applications, from generating user interface designs to fine-tuning pre-trained models for custom use cases.

Project Overview

This repository includes the following key workflows:

1. UI Design Generation with Stable Diffusion

   • Generates UI mockups based on text prompts using a fine-tuned version of Stable Diffusion with LoRA (Low-Rank Adaptation).
   • File: generate_ui.py

2. Training with LoRA

   • Fine-tunes Stable Diffusion models on custom datasets using LoRA to adapt large pre-trained models for specific tasks, such as UI design generation.
   • File: train_lora.py

3. ControlNet Integration

   • Uses ControlNet with Stable Diffusion to control image generation based on structural inputs like pose estimation.
   • File: controlnet_integration.py

4. Sentiment Analysis & Text Classification

   • Uses HuggingFace’s transformer models (BERT, GPT-2, etc.) for sentiment analysis and text classification tasks.
   • File: sentiment_analysis_and_classification.py

5. Text Generation with GPT-2

   • Generates creative text using a pre-trained GPT-2 model, allowing for diverse text generation tasks.
   • File: text_generation_with_gpt2.py

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Features

• Stable Diffusion: Utilize pre-trained and fine-tuned models to generate UI designs, artwork, and more.
• LoRA Fine-Tuning: Fine-tune Stable Diffusion models using LoRA for more efficient adaptation to custom datasets.
• ControlNet Integration: Generate images with structured control using techniques like pose estimation.
• Sentiment & Text Analysis: Perform sentiment analysis and text classification on various input texts.
• Text Generation: Generate creative text based on prompts with GPT-2.

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Installation

1. Clone the repository:

git clone https://github.com/xitrolisax/huggingface-training-repo.git cd huggingface-training-repo

2. Install the required dependencies:

bash Copy pip install -r requirements.txt

Usage

1. UI Generation with Stable Diffusion File: generate_ui.py

This script allows you to generate UI designs from a text prompt using a pre-trained Stable Diffusion model fine-tuned with LoRA.

2. Fine-Tuning with LoRA File: train_lora.py

This script fine-tunes a Stable Diffusion model using your custom dataset with LoRA for more efficient training.

3. ControlNet Integration File: controlnet_integration.py

This script integrates ControlNet to guide the generation of images based on specific control inputs, such as pose or structure.

4. Sentiment Analysis & Text Classification File: sentiment_analysis_and_classification.py

This script performs sentiment analysis and text classification using transformer-based models like BERT.

5. Text Generation with GPT-2 File: text_generation_with_gpt2.py

This script uses a pre-trained GPT-2 model to generate text based on a given prompt.