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    FaceGrid 18 – Angles & Emotions for Krea 2 by Astroburner - v1.0
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    Faces & Emotions – 18 Facial Angles and Expressions

    This LoRA creates a complete horizontal 6×3 facial reference sheet containing eighteen portrait panels of the same character.

    The character’s identity, appearance, clothing, rendering style, lighting, camera distance, and background remain consistent across the entire sheet.

    Only the head angle, eye-gaze direction, and facial expression change.

    Sheet Layout

    Left Side – Head Angles and Gaze Directions

    Top row:

    1. Looking up-left

    2. Looking straight up

    3. Looking up-right

    Middle row:

    1. Exact left profile

    2. Straight frontal view

    3. Exact right profile

    Bottom row:

    1. Looking down-left

    2. Looking straight down

    3. Looking down-right

    Right Side – Facial Expressions

    Top row:

    1. Neutral

    2. Open joyful laughter

    3. Clearly angry

    Middle row:

    1. Visibly sad

    2. Startled surprise

    3. Playful and mischievous with the tongue sticking out

    Bottom row:

    1. Gentle smile

    2. Shy or embarrassed

    3. Tense or uneasy

    Important Resolution Information

    The most reliable base resolution is exactly:

    1672 × 944 pixels

    This resolution reproduces the intended 6×3 arrangement most consistently.

    The LoRA has learned not only the expressions and viewing angles, but also the spatial structure of the complete sheet. Changing the width-to-height relationship can therefore affect the layout.

    A canvas that is too wide may cause the model to generate additional rows, columns, or portrait panels.

    A canvas that is too narrow may cause panels to disappear, become compressed, or merge incorrectly.

    You can increase the resolution, but the width and height should always be scaled proportionally.

    Recommended resolution steps:

    1× Base Resolution
    1672 × 944

    2× Resolution
    3344 × 1888

    3× Resolution
    5016 × 2832

    4× Resolution
    6688 × 3776

    Higher resolutions require significantly more VRAM and generation time.

    For the first test, I strongly recommend using exactly 1672 × 944 pixels.

    You can increase the megapixel setting afterward, provided the same proportions are preserved.

    Generating below the base resolution is not recommended because every individual portrait panel receives less image information, which may reduce facial quality and layout stability.

    Activation Tag

    The activation tag is:

    FEPOSEGRID
    

    Place it at the very beginning of the positive prompt.

    Recommended Activation Sentence

    For the most reliable results, use the complete activation sentence instead of only using the activation tag:

    FEPOSEGRID, a complete horizontal 6 by 3 facial pose and expression reference sheet with eighteen equal square portrait panels and exactly the same single character in every panel. Identity, sex or gender presentation, age, species or visible human appearance, skin or fur color, facial anatomy, eye color, hair or mane, facial hair, makeup, markings, clothing, accessories, rendering style, lighting, camera distance, and background remain unchanged. Only head angle, eye-gaze direction, and facial expression vary. The left three columns use this fixed sequence: top row looking up-left, looking straight up, looking up-right; middle row exact left profile, straight frontal view, exact right profile; bottom row looking down-left, looking straight down, looking down-right. The right three columns use this fixed sequence: top row neutral, open joyful laughter, clearly angry; middle row visibly sad, startled surprise, playful mischievous tongue-out expression; bottom row gentle smile, shy or embarrassed, tense or uneasy.
    

    How to Prompt the LoRA

    The positive prompt should contain two main sections.

    First, use the complete activation sentence.

    After one blank line, describe the character you want to generate in detail.

    Recommended prompt structure:

    [Complete Activation Sentence]
    
    All eighteen panels depict the same [detailed character description].
    

    Your character description should clearly define:

    • Age and gender presentation

    • Ethnicity, species, or visible appearance

    • Skin, fur, scales, or surface material

    • Face shape

    • Eye shape and eye color

    • Eyebrows

    • Nose

    • Lips, muzzle, beak, or mouth anatomy

    • Hair, mane, fur, horns, or head features

    • Facial hair or makeup

    • Clothing

    • Accessories

    • Rendering style

    • Lighting

    • Background

    Avoid adding separate poses or additional emotions to the character description because the activation sentence already controls the full layout.

    Example Prompt

    FEPOSEGRID, a complete horizontal 6 by 3 facial pose and expression reference sheet with eighteen equal square portrait panels and exactly the same single character in every panel. Identity, sex or gender presentation, age, species or visible human appearance, skin or fur color, facial anatomy, eye color, hair or mane, facial hair, makeup, markings, clothing, accessories, rendering style, lighting, camera distance, and background remain unchanged. Only head angle, eye-gaze direction, and facial expression vary. The left three columns use this fixed sequence: top row looking up-left, looking straight up, looking up-right; middle row exact left profile, straight frontal view, exact right profile; bottom row looking down-left, looking straight down, looking down-right. The right three columns use this fixed sequence: top row neutral, open joyful laughter, clearly angry; middle row visibly sad, startled surprise, playful mischievous tongue-out expression; bottom row gentle smile, shy or embarrassed, tense or uneasy.
    
    All eighteen panels depict the same photorealistic adult woman in her early thirties with warm medium-brown skin, a softly oval face, pronounced cheekbones, dark almond-shaped eyes, thick naturally curved eyebrows, a straight nose, full lips, and shoulder-length tightly curled black hair. She wears the same dark green high-neck top and small gold hoop earrings. The background is a smooth light-gray studio backdrop with soft balanced portrait lighting.
    

    Tested Character Types

    The LoRA has been tested with a wide range of subjects, including:

    • Photorealistic men and women

    • Anime characters

    • Furry characters

    • Fantasy creatures

    • Monsters

    • Androids and robots

    • Aliens

    • Elves, orcs, demons, and other non-human characters

    The preview images intentionally use very different characters and visual styles to demonstrate the flexibility of the LoRA.

    The complete prompts used for the example images are included below the corresponding images.

    Created by Astroburner

    Description

    FAQ

    Comments (9)

    GoshectJul 21, 2026· 2 reactions
    CivitAI

    In all your examples, the top right corner is looking top left. xD

    Seem like there is something that needs to fix there.

    Astroburner
    Author
    Jul 21, 2026· 2 reactions

    yea its my dataset, I mixed up the bad on I filtered out. turns out I dident do it xD
    Also some emotions are slightly mixed up.

    Working already slowly on v02 to extend and polish my dataset fo it.

    But so far are you happy with it? :-)

    rafaelldestiloJul 22, 2026· 3 reactions
    CivitAI

    Does it work with an identity LoRA? Specifically, using a reference image of a face?

    klapperklausJul 22, 2026

    I want to know this as well :)

    Astroburner
    Author
    Jul 22, 2026· 2 reactions

    I dident had the time yet to test it. I trainer the LoRA on krea2 RAW. But its planed to train it on the Ostris krea 2 Edit model. give me 1-2 weeks xD. Then an Input Image can be used

    hatt2Jul 27, 2026

    @Astroburner this would be super helpul. thank you!

    fifoho6295746Aug 3, 2026
    CivitAI

    If I want to train a Krea Lora, when do I use this versus your subject pose sheet? Do I need other training images or is this sufficient

    Astroburner
    Author
    Aug 3, 2026

    I use the LoRA to creat 4-6 megapixel Image. Then i crop the Images in single pieces then i train in this Images a LoRA. Then you have already in your dataset very consistent faces from one Person.

    ah1Aug 8, 2026
    CivitAI

    Could you train a Flux2 Klein 9b model on your data? Flux2 has image editing capabilities by prompt, so it could be used to make the same character in via an existing image, which would be incredibly useful.

    LORA
    Krea 2

    Details

    Downloads
    1,654
    Platform
    CivitAI
    Platform Status
    Available
    Created
    7/11/2026
    Updated
    8/23/2026
    Deleted
    -
    Trigger Words:
    FEPOSEGRID, a complete horizontal 6 by 3 facial pose and expression reference sheet with eighteen equal square portrait panels and exactly the same single character in every panel. Identity, sex or gender presentation, age, species or visible human appearance, skin or fur color, facial anatomy, eye color, hair or mane, facial hair, makeup, markings, clothing, accessories, rendering style, lighting, camera distance, and background remain unchanged. Only head angle, eye-gaze direction, and facial expression vary. The left three columns use this fixed sequence: top row looking up-left, looking straight up, looking up-right; middle row exact left profile, straight frontal view, exact right profile; bottom row looking down-left, looking straight down, looking down-right. The right three columns use this fixed sequence: top row neutral, open joyful laughter, clearly angry; middle row mildly sad, startled surprise, playful mischievous expression with the tongue visibly sticking out; bottom row gentle smile, shy or embarrassed, tense or uneasy.

    Files

    Face_and_Emotions_V01_5000.safetensors

    Mirrors