🧩 Flux-Kontext Character Expansion Workflow

Overview

This custom Flux-Kontext workflow is a major extension of the base model, built to handle multi-image composition, LoRA stacking, and multi-step generation for high-quality, consistent character datasets.
It’s designed for character creation, LoRA training, and regeneration of low-quality inputs — giving you complete control over appearance, context, and detail.

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🖼️ Dual-Image Context System

The workflow allows you to combine two different input images into a single coherent generation:

• If both inputs are active, the system blends their visual and semantic context — e.g., “the man and the woman are dancing.”

• If only one image is active, the model evolves that image using the new prompt — e.g., “same face and clothes, the man is riding a horse.”

This setup enables dynamic, instruction-based image merging without losing character identity.

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🧠 LoRA Power Loader

A custom LoRA Power Loader lets you stack multiple LoRAs simultaneously, each with independent strength control.
You can fine-tune how each LoRA influences the output — controlling aspects like:

• Facial identity

• Body type and proportions

• Clothing style

• Lighting or artistic detail

This provides granular creative direction for dataset generation or character refinement.

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🔍 Latent Upscale & Restoration

A built-in Latent Upscale node enhances weak or low-resolution inputs before re-generation.
It restores missing structure and detail at the latent level, producing clean, high-resolution results without introducing blur or artifact noise.

Use this feature to:

• Improve dataset quality

• Restore bad or compressed source images

• Regenerate old renders into consistent HD-quality material

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🧩 Multi-Prompt / Multi-Step Generation

The workflow supports multiple prompts and generation passes, automatically rendering your character in:

• Different poses

• Varied lighting and environments

• Multiple angles and camera distances

This produces a rich, consistent dataset ideal for training LoRAs or any character model requiring 360° diversity and visual coherence.

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🎯 Use Cases

• Creating training data for LoRA or DreamBooth

• Generating pose/lighting variation sets for the same character

• Cleaning and enhancing low-quality reference material

• Building consistent visual identity across scenes

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⚙️ Requirements

• Flux-Kontext nodes (ComfyUI Flux / Florence integration)

• LoRA Power Loader node

• Latent Upscale node

• Any Flux-compatible base model

• Optional: additional LoRAs placed in /models/Lora/