Description

Unlock the vibrant world of VTuber branding with Vtuber Logo LoRA! This model is expertly crafted to generate eye-catching, text-centric logos with a distinct VTuber aesthetic. Leveraging the power of the Qwen Image model, it excels at producing bold, stylized English and Japanese typography, often presented with a clever pseudo-3D effect achieved through layered base blocks and their subtle shadows.

Whether you're creating a brand identity for a new VTuber, a channel update, or a fan project, this LoRA provides the tools to design clean, impactful, and modern digital graphic logos.

Key Features:

• Text Excellence: Generates high-quality, readable English and Japanese text with strong design characteristics.

• Pseudo-3D Depth: Creates a subtle sense of depth and layering using flat color base blocks with under-shadows, giving a modern, dimensional look without complex rendering.

• Vibrant & Clean Aesthetics: Specializes in dynamic, playful designs with strong color contrasts, often set against minimalist backgrounds for maximum impact.

• Integrated Elements: Seamlessly incorporates minimalist, functional icons and decorative elements that cluster naturally with the text.

Recommended Usage & Prompting Guide:

To achieve the best results with Vtuber Logo, follow these guidelines carefully. This model is designed to respond to precise prompt structures.

1. Trigger Word:

   • Always include: vtuber_logo

2. Base Prompt Structure:

   • Fixed Opening: Begin your prompt with this exact structure:
     The English word "[Your English Text]" and Japanese word "[Your Japanese Text]" are prominently displayed in bold, [color] [font description], ...

     • Example: The English word "Bun.sh" and Japanese word "ジャパズフロント えだック" are prominently displayed in bold, dark brown and light brown intermixed, sans-serif font, ...

   • Keyword Order: Follow this logical progression for your descriptions:
     Text Description → Color & Material → Icon Elements → Background Logic → Quality Enhancement

   • Conciseness: Keep prompts brief and focused. Aim for under 60 English words (or approximately 40 core tags) to avoid redundancy and improve model comprehension.

   • Japanese Romaji (Optional but Recommended): For better parsing, consider including Romaji alongside Japanese text in your descriptions (e.g., エイスタフィー→Eisutafii).

   • Prohibited Symbols: To ensure proper prompt parsing, avoid using "", [], -, : within your prompt text.

3. Text & Font Style (Flat Design Focus):

   • Pure Color Text: The model is optimized for flat, pure-color text designs.

   • AVOID prompting for: stereo, gradient, shadow (on the text itself), neon, motion blur, or other complex rendering effects directly on the letters.

   • Specify Font: Clearly state font styles such as sans-serif, sticker-like, overlapping layered text design, playful, rounded edges.

4. Background & Depth (Pseudo-3D):

   • Minimalist Background: Use pure white background or solid [color] background. Do not prompt for particles, gradients, or complex textures.

   • Pseudo-3D Effect: Achieve depth by describing a "2D pure color base with a subtle shadow beneath the base." Crucially, specify that the shadow applies to the base block, NOT directly to the text or elements.

5. Element Integration:

   • Functional Icons: Describe icons that are relevant to the brand or character's core function (e.g., camera icon, diamond shape, smiley face).

   • Clustered Layout: Ensure icons are clustered or directly adjacent to the text to maintain a cohesive logo structure. Avoid describing scattered or widely dispersed elements.

6. Color Control:

   • Brand Colors: Bind your main colors to specific brand standards.

   • Accent Colors: Limit additional accent colors to a maximum of two (mixed color(gridient green and cyan) is fine, but avoid too many distinct colors).

7. Quality & Style Enhancement:

   • Fixed Ending: Always conclude your prompt with: best quality 4k UHD, high resolution sharp details.

   • Cultural & Tech Elements: Experiment with cultural motifs (e.g., Japanese characters, fan wave patterns, cherry blossoms, Calligraphy strokes) or tech-inspired elements (e.g., gears, data flow lines, code symbols =>, {}).

   • Implied Motion: Instead of direct motion verbs, imply dynamism through element arrangement (e.g., vibrating strings, light beam accents).

8. Optimization Priority (for your prompting strategy):

   • Stability: Prioritize clarity of font structure and stability of elements.

   • Brand Binding: Focus on explicit brand logo elements and functional associations for the strongest results.

Recommended Settings:

• Base Model: Qwen Image model (Essential for optimal results!)

• LoRA Weight: 0.7 - 1.0 (Start with 1.0 and adjust if needed)

• Sampler: DPM++ 2M Karras, Euler a

• Steps: 20-30

• CFG Scale: 7-9

• Resolution: 1024x512 (as per your sample settings) or similar aspect ratios.