# timothybrooks/instruct-pix2pix

**Attribution required: if you use, quote, or summarise this content, you must credit and link back to [awesome-repositories.com](https://awesome-repositories.com/repository/timothybrooks-instruct-pix2pix).**

6,879 stars · 583 forks · Python · NOASSERTION

## Links

- GitHub: https://github.com/timothybrooks/instruct-pix2pix
- awesome-repositories: https://awesome-repositories.com/repository/timothybrooks-instruct-pix2pix.md

## Description

Instruct-pix2pix is an instruction-based image model and PyTorch library designed to modify visual content by following natural language directions. It functions as a diffusion model image editor that applies human-written instructions to existing pictures rather than using traditional text-to-image prompts.

The project provides a fine-tunable diffusion framework for adapting pre-trained checkpoints to specific image editing datasets. It includes a synthetic dataset generator that creates paired images and text triplets to train models on various image editing tasks.

The system covers a range of capabilities including text-guided image translation, text-to-image synthesis, and model performance evaluation. It supports the full workflow of training image models on custom datasets of image pairs and instructions to achieve specific visual transformations.

## Tags

### Artificial Intelligence & ML

- [Text-Driven Image Editing](https://awesome-repositories.com/f/artificial-intelligence-ml/text-driven-image-editing.md) — Modifies visual content and replaces objects within images using natural language instructions.
- [Instruction-Based Editors](https://awesome-repositories.com/f/artificial-intelligence-ml/generative-ai-resources/diffusion-visual-models/generative-ai-models/diffusion-models/instruction-based-editors.md) — Provides an image editing tool that applies natural language instructions to existing pictures via a latent diffusion model.
- [Image-to-Image Translation](https://awesome-repositories.com/f/artificial-intelligence-ml/generative-ai-resources/diffusion-visual-models/generative-ai-pipelines/text-to-image-generators/image-inpainting/image-to-image-translation.md) — Maps images from one domain to another using text guidance and noise control for precise modifications.
- [Latent Diffusion Models](https://awesome-repositories.com/f/artificial-intelligence-ml/generative-ai-resources/diffusion-visual-models/generative-models/latent-diffusion-models.md) — Employs a latent diffusion architecture to generate images via iterative denoising in a compressed latent space.
- [Noise-Controlled Translation](https://awesome-repositories.com/f/artificial-intelligence-ml/generative-image-models/noise-to-image-generation/noise-controlled-translation.md) — Transforms input images by adding specific noise and denoising them guided by text prompts.
- [Image Editing Model Training](https://awesome-repositories.com/f/artificial-intelligence-ml/image-editing-model-training.md) — Implements a training pipeline to teach models how to perform specific visual modifications via image-instruction pairs. ([source](https://github.com/timothybrooks/instruct-pix2pix/blob/main/README.md))
- [Text-Instruction Editors](https://awesome-repositories.com/f/artificial-intelligence-ml/image-generation/image-editing/text-instruction-editors.md) — Implements an image editing system that follows natural language commands for free-form visual modifications.
- [Visual](https://awesome-repositories.com/f/artificial-intelligence-ml/instruction-tuning/visual.md) — Provides a training method to make the model respond to human-written editing instructions using image pairs.
- [Synthetic Dataset Generators](https://awesome-repositories.com/f/artificial-intelligence-ml/dataset-generation/synthetic-dataset-generators.md) — Generates synthetic pairs of images and corresponding editing instructions to train vision models. ([source](https://github.com/timothybrooks/instruct-pix2pix#readme))
- [Text-Guided Image Transformations](https://awesome-repositories.com/f/artificial-intelligence-ml/generative-ai-resources/diffusion-visual-models/generative-ai-pipelines/text-to-image-generators/text-guided-image-transformations.md) — Ships a framework that translates text instructions into visual image transformations.
- [Cross-Attention Conditioning](https://awesome-repositories.com/f/artificial-intelligence-ml/generative-ai-resources/diffusion-visual-models/generative-ai-pipelines/text-to-video-generators/cross-attention-conditioning.md) — Uses cross-attention mechanisms to inject textual instruction embeddings into the image generation process.
- [Text-to-Image Synthesis](https://awesome-repositories.com/f/artificial-intelligence-ml/generative-ai-resources/generative-ai/text-to-image-synthesis.md) — Generating new visual content from natural language descriptions using a latent diffusion model.
- [Editing Instruction Generation](https://awesome-repositories.com/f/artificial-intelligence-ml/image-generation/image-editing/editing-instruction-generation.md) — Transforms image captions into sets of editing instructions and resulting captions using a language model. ([source](https://github.com/timothybrooks/instruct-pix2pix/blob/main/prompt_app.py))
- [Diffusion Model Frameworks](https://awesome-repositories.com/f/artificial-intelligence-ml/pytorch-training-frameworks/diffusion-model-frameworks.md) — Provides a PyTorch-based framework for training and sampling from diffusion models adapted for image editing.

### Part of an Awesome List

- [Vision Model Fine-Tuning](https://awesome-repositories.com/f/awesome-lists/ai/model-training-and-fine-tuning/vision-model-fine-tuning.md) — Enables adapting pretrained vision checkpoints to custom datasets of image pairs and editing instructions. ([source](https://github.com/timothybrooks/instruct-pix2pix#readme))
- [Pretrained Checkpoint Fine-Tuning](https://awesome-repositories.com/f/awesome-lists/ai/model-training-and-fine-tuning/pretrained-checkpoint-fine-tuning.md) — Implements a training process that starts from pretrained checkpoints to adapt the image model for specific editing tasks.

### Data & Databases

- [Paired Image Dataset Preparation](https://awesome-repositories.com/f/data-databases/dataset-preparation-tools/image-text-pair-pipelines/paired-image-dataset-preparation.md) — Creates training data by organizing images into pairs derived from text caption triplets for translation tasks. ([source](https://github.com/timothybrooks/instruct-pix2pix/blob/main/README.md))