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README.md

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- Device-specific Python virtual environments
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- Automatic model downloads from Huggingface repositories
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---
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## Supported Pipelines
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### Z-Image
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**Z-Image**
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- ZImagePipeline
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- ZImageImg2ImgPipeline
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### Qwen Image
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**Qwen Image**
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- QwenImagePipeline
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- QwenImageImg2ImgPipeline
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- QwenImageEditPlusPipeline
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### FLUX.1
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**FLUX.1**
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- FluxPipeline
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- FluxImg2ImgPipeline
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- FluxKontextPipeline
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- FluxControlNetPipeline
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### FLUX.2
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**FLUX.2**
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- Flux2Pipeline
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### Chroma
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**Chroma**
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- ChromaPipeline
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- ChromaImg2ImgPipeline
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### Wan Video
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**Wan Video**
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- WanPipeline
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- WanImageToVideoPipeline
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### StableDiffusionXL
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**StableDiffusionXL**
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- StableDiffusionXLPipeline
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- StableDiffusionXLImg2ImgPipeline
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- StableDiffusionXLControlNetPipeline
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- StableDiffusionXLControlNetImg2ImgPipeline
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---
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## Installation
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1. Download and extract **Diffuse.zip**
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*A fast SSD with plenty of free space is recommended, as model downloads can be large.*
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2. Run **Diffuse.exe**
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3. Load a model
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Diffuse will automatically:
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- Install an isolated portable Python runtime
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- Create the required virtual environment
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- Download the selected model from Hugging Face
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### First-run notice
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On first launch or when loading a model for the first time, setup may take several minutes while Python, dependencies, and model files are downloaded and initialized. This is expected behavior.
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No manual Python setup is required.
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---
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## Project Roadmap
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### Alpha
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Proof of concept, Focus on core functionality.
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- Portable Python installation and management
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- Device-specific virtual environments
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- Minimal but functional Windows UI
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- Basic Diffusers pipeline support
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### Beta
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Focus on usability, stability, and feature expansion.
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- Fully isolated Python execution
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- Installer and deployment tooling
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- Advanced UI and workflow options
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- ControlNet support
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- Upscaling and interpolation support
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- Extractor pipeline support
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- Stability, performance, and reliability improvements
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---
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## Screenshots
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### TextToImage
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<p align="center" width="100%">
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<img src="Screenshots/TextToImage.png">
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### ImageToVideo
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<p align="center" width="100%">
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<img src="Screenshots/ImageToVideo.png">
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</p>
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</p>

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