diffsynth

Documentation Introduction

DiffSynth-Studio Documentation

Getting Started

Installing Dependencies
Model Inference
Inference Acceleration
VRAM Management
Model Training
Environment Variables
GPU/NPU Support
Inference WebUI

Model Details

FLUX
Wan
Qwen-Image
FLUX.2
Z-Image
Anima
LTX-2
ERNIE-Image
JoyAI-Image
ACE-Step
HiDream-O1-Image
Stable Diffusion
Stable Diffusion XL
Image Quality Evaluation Metrics
Ideogram 4

Training Framework

Basic Principles of Diffusion Models
Standard Supervised Training
Enabling FP8 Precision in Training
End-to-End Distillation Accelerated Training
Two-Stage Split Training
Differential LoRA Training
Enabling DeepSpeed
Offload Training

Model Integration

Integrating Model Architecture
Building a Pipeline
Fine-Grained VRAM Management Scheme
Integrating Model Training

API Reference

diffsynth.core.attention: Attention Mechanism Implementation
diffsynth.core.data: Data Processing Operators and Universal Dataset
diffsynth.core.gradient: Gradient Checkpointing and Offload
diffsynth.core.loader: Model Download and Loading
diffsynth.core.vram: VRAM Management

Diffusion Templates

Diffusion Templates
Diffusion Templates Architecture Details
Template Model Inference
Template Model Training

Research Guide

Training Models from Scratch
Inference Optimization Techniques

FAQ

Frequently Asked Questions

diffsynth

Index

Index

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