How to Customize Style for Images with AI Image Generator

Pollo.ai’s AI Image Generator goes beyond text-to-image creation; its robust Image-to-Image AI feature allows users to upload existing photos and dramatically transform them using prompts, model blends, and style filters. Whether you're a content marketer, social media specialist, or digital creator, this guide will walk you through customizing styles—from lighting and color palettes to artistic genres and character design.

Understanding the Image-to-Image Workflow

The image to image AI uses your existing image as a base, interprets your desired modifications via text prompts, and applies stylistic conversions using specific LoRA (Low-Rank Adaptation) models. The workflow is straightforward:

1. Upload your source image.
2. Select LoRAs and specify a text prompt.
3. Click Create and review the output variants.

Think of your image as a canvas and your prompt + LoRA selection as the brush and paint.

Choosing LoRAs to Shape Style

What Are LoRAs?

LoRAs are lightweight, switchable models that contain specific stylistic or genre-based training. Pollo.ai offers thousands of LoRAs such as “neon lighting,” “anime portrait,” or “oil painting brushwork.” These can be stacked or combined to fine-tune aesthetics.

Best Practices

• Pick 1–2 LoRAs to avoid muddy styles.
• Use the LoRA element to accentuate rather than overwhelm.
• Experiment with weight sliders to balance influence—from subtle (0.2) to strong (0.8).

Crafting Text Prompts for Enhanced Style

Prompt Tips

• Use descriptive language: color tone, mood, lighting, texture.
• Include style indicators: “hyper-realistic,” “surreal,” “cinematic depth.”
• Reference artists or art schools when fitting: “in the style of Studio Ghibli,” for example.

Pairing your prompt with targeted style base gives you much more control over aesthetics.

Upload Settings & Model Selection

Image Requirements

• Format: JPG or PNG.
• Minimum resolution: approximately 300×300 px (for clear detail).

Model Selection

• Choose the AI engine aligned with your objective:
• Stable Diffusion: flexible, artistic output.
• FLUX Dev/Pro Ultra: hyper-realism and high fidelity.
• Recraft/Ideogram: stylized or graphic renderings.
• GPT‑4o / Dall‑E / Imagen: advanced semantic-to-visual rendering.

Each engine affects lighting, texture, and structure differently—choose based on whether you want realism, graphic illustration, or experimental styles.

Setting Parameters for Style Control

Aspect Ratio

Set proportions based on context: 16:9 for social posts, 1:1 for album visuals.

LoRA Weight & Prompt Balance

• Adjust LoRA weight to influence style strength.
• Add negative prompt terms for unwanted elements like “no blur,” “no harsh shadows.”

Batch Generation

Generate multiple variations at once to compare styles efficiently and accelerate A/B testing workflows.

Iteration: Refining Style Decisions

Reviewing Output

Select the version that best matches your desired look—focus on color fidelity, details, and overall tone.

Refining

• Tweak prompts: More descriptive terms if the style is too mild.
• Adjust LoRA weights: Reduce if stylization is too heavy or increase if too subtle.
• Try another model if texture or realism needs adjustment.

Rinse and repeat until you’re satisfied—this iterative method delivers polished, brand-appropriate results.

Advanced Techniques: Deep Styling

Layered Style Transfer

Perform multiple passes:

1. First pass: baseline style (e.g., studio lighting).
2. Second pass: genre-specific detail (e.g., film noir filter, anime shading).

This sequenced approach can mimic professional multi-step art pipelines.

Mixing Artistic Genres

You can blend styles (e.g., “impressionist + cyberpunk neon”) by combining LoRAs and carefully crafted prompts. Be aware mixed genres can conflict—test and refine.

Background Replace & Expansion

Use Image-to-Image to extend canvas or swap backgrounds, then apply a unified style across the entire visual for consistency—ideal for branded content or lifestyle imagery.

Credits & Paid Plan

• Free users: limited credits and watermarked outputs.
• Paid plans: allow for more batch outputs and full-resolution, watermark-free images.
• LoRA and high-resolution generation use more credits—track usage if you're producing at scale.

Summary: Mastering Style Customization

1. Define your goal: mood, tone, style.
2. Upload a quality image.
3. Select appropriate model + LoRA(s).
4. Write detailed prompts (with negative terms).
5. Generate multiple variants.
6. Review and iterate per your brand or campaign.
7. Export at correct specs.

By following this system, you can consistently produce visually cohesive assets that reflect your brand’s aesthetic and meet campaign goals.

Final Thoughts

Pollo.ai’s Image-to-Image AI offers powerful, intuitive, and flexible style mastery for creators. By leveraging its prompt system, model variety, and LoRA-driven stylization, you can generate professional-quality visuals efficiently. For marketers, influencers, and agencies, this guide provides a replicable workflow for producing consistent brand aesthetics with AI—perfect for SEO-rich content and visual storytelling goals.