CivArchive
    Flux-Kontext - Wan 2.2 Character Lora Training Image Generation - v1.0
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    🧩 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.

    The NSFW version is here: https://civarchive.com/models/2088506
    It uses line art refernces with inpainting of the subject - so you find any position you like and your reference image will be painted into it.

    Do you want ALL the NSFW LoRAs, checkpoints, and Workflows? Here is my patreon - i will uploading some CRAZY stuff I have been working on.
    https://www.loboforge.com/@LoboForge


    🖼️ 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.


    🧠 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.


    🔍 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


    🧩 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.


    🎯 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


    ⚙️ 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/

    Description

    Version 1

    FAQ

    Workflows
    Flux.1 Kontext

    Details

    Downloads
    52
    Platform
    CivitAI
    Platform Status
    Available
    Created
    10/16/2025
    Updated
    5/14/2026
    Deleted
    -

    Files

    fluxKontextWan22_v10.zip

    Mirrors

    CivitAI (1 mirrors)