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    TEXT to IMG - All in one Workflow - Multi-Loras, ADetailer, Wildcards and more (ComfyUI) - v1.2
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    Update Highlights – Version 1.6

    • Completely redesigned to be more user-friendly, compact, and efficient, making the workflow easier to navigate while preserving its full flexibility.

    • The Dual Sampler and Hi-Res Fix pipeline have been reworked from the ground up, resulting in better image quality, improved coherence, and a more reliable generation process.

    • The entire Detailer section has been rebuilt with optimized models and a cleaner layout, providing more consistent face and hand refinement while remaining easier to configure.

    • The ControlNet section has also been fully revised, improving compatibility, organization, and overall usability for reference-based generations

    Update Highlights – Version 1.5

    • Completely redesigned for better readability and ease of use, heavily inspired by vslinx’s workflow (shoutout to him).

    • The preview section has been revised for clearer and more intuitive feedback during generation.

    • The old dual-sampler setup has been replaced with a dedicated Hi-Res Fix node, improving image coherence and reducing anomalies during upscaling.

    • A new image filter now generates four base images, allowing users to select the most suitable one before moving forward with detailing.

    Update Highlights – Version 1.4

    • Introduced a dedicated second sampler integrated with a Highres Fix script, significantly enhancing image fidelity and detail sharpness in final outputs. Expect smoother upscale transitions and richer textures, especially for close-ups or larger compositions.

    • Seamless integration of the new highres logic into the existing pipeline — no extra setup needed. Just plug and play for better results.

    • Further minor improvements to node connections and internal logic to ensure a more stable and optimized generation flow.

    Update Highlights – Version 1.3

    • Added support for wildcards, allowing dynamic and flexible prompt generation

    • Introduced the ability to randomize wildcards for varied and automatic prompt creation across generations

    • Improved overall user experience with better layout clarity and workflow accessibility

    • Workflow remains modular and optimized for structured Multi-LoRA character and concept building

    Update Highlights – Version 1.2

    • Refactored the "Adetailer" tabs for improved readability and usability

    • Added a control panel to easily toggle ON/OFF for various node groups

    • Globally improved layout structure and visual clarity for smoother navigation

    • Replaced and optimized samplers used within the "Adetailer" sections

    Update Highlights – Version 1.1

    Implemented a dedicated section for nipple detailing, with a toggleable node allowing users to enable or bypass the detail processing of each detailler section as needed.

    Key Features:

    Structured Multi-LoRA Framework

    • LoRAs intelligently organized into dedicated sections (style, clothing, accessories)

    • Clear visual hierarchy for easy navigation and adjustments

    Precision Enhancement Tools

    • Optional Face Detailer module (separate controls for face, eyes, and hands)

    • Built-in Control Net integration for image-based generation

    • Full support for embeddings and A1111 prompt notation

    Optimized PonyXL Foundation

    • Pre-configured for maximum stability

    • Modular design allows customizing every aspect (poses, backgrounds, details)

    Professional-Grade Pipeline

    • Supports rapid iteration from concept to final render

    • Maintains consistency across generations

    Perfect For:

    • Professional character designers

    • Concept artists needing fast iteration

    • Style explorers wanting maximum control

    Download Includes:

    • Main workflow JSON

    • Pre-configured node templates


    Ressources :

    Detailers Models :

    FACE

    EYES

    LIPS

    NOSE

    HANDS

    NIPPLES

    VAGINA

    PENIS

    Nodes used:

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    Description

    Update Highlights – Version 1.2

    • Refactored the "Adetailer" tabs for improved readability and usability

    • Added a control panel to easily toggle ON/OFF for various node groups

    • Globally improved layout structure and visual clarity for smoother navigation

    • Replaced and optimized samplers used within the "Adetailer" sections

    FAQ

    Comments (6)

    ThunderOakJul 7, 2025· 6 reactions
    CivitAI

    I am getting this error at the VAE Decode node:

    Given groups=1, weight of size [512, 16, 3, 3], expected input[1, 4, 128, 128] to have 16 channels, but got 4 channels instead

    Mittoshura
    Author
    Jul 7, 2025

    What VAE are you using?

    ThunderOakJul 7, 2025

    It should be the default one, ae.safetensors

    Mittoshura
    Author
    Jul 7, 2025

    @ThunderOak It's normal then, I had the same probleme you need to use a different one like this one : https://civitai.com/models/581286/luna-xlilnai-vae for example

    ThunderOakJul 7, 2025

    @Mittoshura Thanks, I had switched to another, but I think I like the VAE you linked better. Thank you.

    Mittoshura
    Author
    Jul 7, 2025

    @ThunderOak Good to know ! Glad I could help :) If you have another question, don't hesitate !

    Workflows
    Illustrious

    Details

    Downloads
    210
    Platform
    CivitAI
    Platform Status
    Available
    Created
    7/5/2025
    Updated
    8/11/2026
    Deleted
    -

    Files

    textToIMGAllInOneWorkflowMulti_v12.zip

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