Flux Context Multi-Image Generation Guide

‍Flux Context has received major updates within Promptus, introducing a new level of creative power for AI image generation. This guide walks you through the upgraded Omni reference system, enabling the creation of complex compositions using multiple reference images and trained characters—with impressive accuracy and consistency.

Whether you're building professional scenes, testing concepts, or exploring character-based storytelling, this update offers greater control than ever before.

🚀 Getting Started with the Flux Context

To begin:

1. Log into Promptus
2. Select Flux Context from the model options
3. Locate the new Omni Reference section below the prompt box

This feature allows you to use up to four reference images simultaneously—perfect for combining logos, props, backgrounds, characters, and textures into a single cohesive scene.

🧢 Creating Simple Logo Placements

Start with basic tests to learn how Flux Context handles multi-references. A common example:

Prompt:
“Place the white logo and text on the left chest of the woman’s black t-shirt.”

🔑 Tips for Best Results:

• Use specific, literal language
• Disable Autoenhance to maintain prompt integrity
• Avoid vague terms like "logo"—be clear about placement and context

🔗 Advanced Multi-Reference Techniques

Flux Context now excels at merging characters, props, and environments with greater realism.

Try this workflow:

• Slot 1: Trained character
• Slot 2: Clothing item (e.g. hoodie, armor)
• Slot 3: Product (e.g. branded soda can)
• Slot 4: Background (e.g. city skyline, painted texture)

When using trained characters, always include:

“Maintain exact face likeness and outfit.”

This ensures consistent visual identity across all iterations.
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👤 Working with Multiple Trained Characters

A standout feature: multi-character scene support.

The system now retains:

• Clothing details
• Facial structure
• Accessories and small props

Best Practices:

• Identify characters by distinctive clothing or color
• Prompt with structured action phrases like:
  “The woman in the red dress holds a black phone”
• Always include:
  “Maintain facial likeness and pose consistency”

This results in 90–95% character fidelity—a massive improvement over earlier generations.

🖌️ Style Transfer & Photorealistic Conversion

Flux Context naturally leans toward photorealism, making it ideal for transforming:

• 2D comic or anime characters into realistic renderings
• Painted textures or backgrounds into immersive environments
• Cartoon-style props into life-like visuals

Use the fourth reference slot to add style, texture, or lighting without affecting the core subject.

🧪 Quality Considerations & Fixes

While powerful, the model has limitations in some scenarios (e.g., full-body shots, distant figures). Here’s how to improve results:

⚙️ Quick Fixes:

• Use the upscale feature with detailed refinement
• Set creativity levels between 20–25
• Generate multiple variations to find the most stable output

💡 Bonus Tip: Why Promptus Is the Ideal Platform

Promptus isn't just where Flux Context runs—it's a full visual AI platform built for creative professionals.

🌐 Why Choose Promptus?

• Built on ComfyUI, simplified via the CosyFlows no-code interface
• Cloud-powered, no local install needed
• Access to elite models: Gemini Flash, HiDream, Hunyuan3D
• Tools for real-time collaboration, workflow publishing, and Discord integration

Whether you're building a quick weekend concept or developing a production-grade workflow, Promptus offers a flexible, professional-grade creative environment.

🧩 Conclusion: Multi-Reference AI Generation Redefined

The updated Flux Context inside Promptus redefines what’s possible with multi-reference AI generation. It delivers:

• Enhanced visual consistency
• Smarter scene composition
• Scalable support for creative teams and solo artists

Paired with the collaborative and intuitive power of Promptus, Flux Context becomes more than just a model—it’s part of a full creative system.

From experimental scenes to commercial content, this is the next evolution of AI image generation.