Tutorials made by PixAI creators themselves, collected in one place — prompt techniques, LoRA training, and the workflows behind their best work.
This guide introduces PixAI Tsubaki.2’s Customize Style feature and explains how to create and share styles using Style Codes. It also compares style descriptions entered in the Customize Style and Prompt fields, while exploring the effects of Prompt Helper and the privacy benefits of converting custom styles into codes.
This article shares a hands-on review of PixAI’s Tsubaki.2 model, comparing its results with other models across similar themes. It highlights improvements in prompt understanding, character proportions, composition, and complex scene generation. For creators curious about DiT models or looking for a more stable image-generation workflow, this review offers a clear and practical reference.
This guide shares practical tips for writing better prompts on PixAI, focusing on SDXL and DiT-based models. It covers prompt structures, useful tags, model recommendations, LoRA usage, and hands-on model reviews. It is a helpful resource for creators who want to improve image quality, style control, and generation results.
This guide takes a deep dive into getting AI to render clean “no humans” scenes — pure landscapes and standalone objects, free of unwanted figures. Starting from the core no humans tag and negative prompts, it walks through scene-specific tags…
The Mio.2 Tutorial Challenge has officially ended! This was way more than just a community event. We got to see firsthand how passionate and skilled PixAI creators are when it comes to exploring what Mio.2 can do. Every tutorial, every…
The Tsubaki.2 Tutorial Challenge has officially concluded. This blog brings together the winners, featured community tutorials, and practical workflow insights across beginner prompting, prompt engineering, multi-character generation, text-in-image control, and style design—offering a clear guide to how creators are getting the most out of Tsubaki.2.
This guide provides a deep dive into using AI to replicate the "first-person perspective" CG aesthetic found in Otome games. By utilizing core tags and interaction templates, it helps creators precisely capture the immersive atmosphere of a male character gazing directly into the lens. The manual also includes solutions for common issues like "limb misalignment" and "accidental NSFW triggers," alongside recommendations for specialized corrective LoRAs to ensure your image perfectly captures that heart-fluttering moment.
This guide is designed for creators looking to generate "Yume Art" (pairing their Original Characters with favorite characters). It addresses common SDXL challenges such as feature blending and poor character recognition. By introducing the "Golden Formulas for Yume Art" and regional prompting syntax, it provides a step-by-step method to isolate character traits, optimize LoRA usage, and select effective compositions for high-quality BG/BL pairing art.
This guide specifically addresses gender errors and feature bleeding in SDXL models when generating BL/Danmei art. By using Regional Prompting (right:/left:) to define dual-character details, it provides a "Golden Formula for BL," interaction tag cheat sheets, and techniques for physique differences—serving as a practical manual for mastering precise male-to-male interactions.
Think of this as your universal dictionary for male character creation. This article systematized the most effective Danbooru tags for body types, facial features, and outfits. Whether you’re aiming for a delicate "Bishounen," a sharp modern guy, or a moody aesthetic, these templates will ensure you never run out of ideas.
Every model has its own "personality"—specific strengths, default art styles, and unique reactions to tags. This article introduces a community-tested list of models on PixAI that excel at bringing masculine aesthetics to life.
Say goodbye to "girls with male faces"! This guide focuses on field-tested techniques to help you master weight adjustments, fix perspective biases, and use specific tags to control age and aesthetics. Let's solve the "not masculine enough" problem once and for all.
