dgenerate

dgenerate is a scriptable command-line tool (and library) for generating/editing images and processing animated inputs with AI.

Whether you're generating or editing single images, batch processing hundreds of variations, or transforming entire videos frame-by-frame, dgenerate provides a flexible, scriptable interface for a multitude of image generation and editing tasks.

For the extensive usage manual, manual installation guide, and API documentation, visit readthedocs.

What You Can Do

Image Generation

• Generate images using a number of popular model architectures such as: SD, SDXL, SD3, Flux, and Kolors
• Batch process multiple parameter combinations combinatorially to generate variations
• Run large models on limited hardware with inference optimizations and quantization
• Utilize models from HuggingFace and CivitAI for generation
• Advanced prompt weighting (LPW), SD-WebUI (Common syntax), InvokeAI syntax, and llm4gen (SD1.5 only)
• Control Nets, T2I Adapters, IP Adapters, LoRA, and Textual Inversion (embeddings)
• Text to image, image to image, and inpainting
• Diffusion-based image upscaling

Image Processing

• Easily chain image processors together for advanced scripted image manipulation
• Utilize built-in image processors for edge detection, depth mapping, segmentation, feature detection, and more
• Run upscaling / image restoration models such as ESRGAN, SwinIR, etc... via spandrel
• Run image processors generically on any image

Animation & Video Processing

• Transform videos into artistic non-temporally consistent animations
• Process GIF, WebP, APNG, MP4, and any other video format supported by av (ffmpeg)
• Memory-efficient, streamed processing of video content from disk
• Apply image processors to any animated input, for example upscaling / classification / mask generation

Scripting

• Utilize the built-in shell language to script generation tasks, work in REPL mode from the Console UI
• Write scripted workflows with intelligent VRAM/RAM memory management, garbage collection, and caching
• Write plugins such as image processors, prompt weighters, shell language features, etc. in Python if desired

Getting Started

Quick Install

Download an install wizard for your platform from the releases page for a hassle-free setup into an isolated Python environment.

Manual Install

• Windows
• Linux / WSL
• Linux ROCm
• MacOS
• Google Colab
• XPU (Intel)
• Installing From Development Branches

System Requirements

• GPU: NVIDIA (CUDA 12.1+), AMD (ROCm on Linux), or Apple Silicon
• Python: 3.11 to 3.13
• OS: Windows, macOS, or Linux

Note: CPU rendering is possible but extremely slow unless the given model is tailored for it.

Two Ways to Use dgenerate

Command Line

Perfect for automation and batch processing:

dgenerate stable-diffusion-v1-5/stable-diffusion-v1-5 --prompts "a cute cat" --inference-steps 15 20 30

dgenerate --file workflow-config.dgen

Interactive GUI

# launch the Console UI

dgenerate --console

Features a syntax-highlighting console / editor:

• REPL / code editor for the built in shell language to assist with building complex workflows
• OpenGL accelerated image preview, featuring smooth zoom / pan, and bounding box / coordinate picker
• Various templating utilities (recipes, and URI builders) for quickly creating scripts and working interactively
• In editor documentation for all arguments, and built in image processors / plugins
• Lightweight multiplatform Tkinter-based UI

---