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Pixella Vision Overview

Pixella Vision is a custom-trained model designed specifically for creating high-quality pixel art images. This model focuses on delivering sharp, detailed, and authentic pixelated artwork, making it perfect for retro-style designs, game assets, or vibrant illustrations.

What Makes Pixella Vision Special?

Pixel Art Focus: Trained exclusively for pixel art, ensuring consistent results with intricate details and nostalgic charm.
Enhanced Dataset: Includes a diverse range of pixel art examples for a variety of styles and themes.
Sharper Outputs: Delivers crisp edges and well-defined colors, perfectly suited for retro and modern pixel art aesthetics.
Versatile Applications: Great for games, character sprites, environments, or standalone art pieces.

Whether you're a fan of retro-style designs or working on game projects, Pixella Vision offers outstanding pixel art results.

Stay tuned for future updates as this model continues to evolve!

⚙️ Recommended Parameters:

VAE: No need

Sampler : Euler a
Steps : 20➡30
CGF : 5➡7
Hires Fix: Enable for sharper results
- Denoising Strength: 0.2➡0.3
- Hires Steps: 10 ➡ 15
Upscaler: 4x_NMKD-Siax_200k (Tested for optimal results, but feel free to use your preferred option)

Negative Prompt Recommendation

For the best results, use the following negative prompts:

worst quality, bad quality, bad hands, very displeasing, extra digit, fewer digits, jpeg artifacts, signature, username, reference, mutated, lineup, manga, comic, disembodied, futanari, yaoi, dickgirl, turnaround, 2koma, 4koma, monster, cropped, amputee, text, bad foreshortening, what, guro, logo, bad anatomy, bad perspective, bad proportions, artistic error, anatomical nonsense, *******, out of frame, multiple views, weibo username

💬 Feedback & Support

If you appreciate the work I’ve put into this model, I kindly ask you to take a moment to leave feedback. Your input is invaluable and will help me improve future projects!

Pixella Vision - V2