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Tableau
Selfies
Guide
Tableau is highly flexible and follows natural language closely. It supports both very short and long prompts (up to 2000 characters), but length is not rewarded by itself. The goal is control, not filling the character limit. Clear, functional descriptions work better than poetic or decorative language, and you do not need to over-explain concepts the system already understands.
You can upload (or paste in) an image to be the pose reference for a given prompt. Pose reference tries to match the output image as close to the given pose as much as possible. With pose reference, even the body shape of the main subject(s) will be taken into consideration in the output to match close to the reference image. Pose references are the most powerful way to control the composition of the output.
Technical Note: If the pose reference image for group selfies is too complex, you are less likely to get the desired result.
A wide range of art styles are supported while maintaining photoreal avatar consistency. Different photographic looks, lighting styles, moods, and aesthetics can be applied without breaking facial likeness, including in group selfies. Unlike earlier versions, Tableau largely resolves facial consistency issues when styles change, allowing experimentation without sacrificing realism. Prompt variety is handled natively, so the Enhance Variety prompt is no longer needed.
The avatar image helps map facial features. It matters more for Photoreal avatars, especially when paired with a detailed description. For Anime avatars, the image is less important, and the description is the primary factor in achieving an accurate character.
Think of the avatar as a neutral reference, not a styled photo.
Use this structure as your baseline template:
Age: Gender: Ethnicity/Race: Skin: (tone + texture details) Hair: (length + style + color) Eyes: (use “natural ___ eyes”) Face: (shape, nose, lips, brows) Build: (body type) Details: (tattoos, scars, jewelry, piercings) Style: detailed textures, soft cinematic lighting
Example:
A 24-year-old woman with pale skin and a soft natural flush, she has long wavy dark-brown hair threaded with caramel highlights, gentle features with a straight nose and full lips, and a curvy, toned build. She wears a small silver nose stud, shown in soft cinematic lighting.
Natural green eyes and slight freckles across her nose.
Face Detail Slider (Important)
0% face detail
Higher face detail values
Tableau will follow this description more strictly than any previous version. If something is missing or vague here, autoselfies will drift.
Since weights, negative prompts, wand, and pose refs are gone, Tableau requires straightforward description.
Start with what matters most → move to scene → finish with style/lighting.
Structure:
Example:
[Name] stands outdoors, facing the camera with a relaxed and natural expression. They are wearing [clothing description]. The environment around them shows [background elements]. Lighting is [type] and the image has [texture/detail cues].
If you mention a campfire and smoke, phrase it like:
smoke rising from the campfire
instead of separating the details across the prompt.Â
Before using autoselfies, follow this checklist:
It now determines:
 If you want the model to “zoom out,” describe legs, shoes, and the background.
Examples:
 Phrases like ' detailed textures ' and ' soft cinematic lighting ' are almost essential for avoiding flat or lifeless renders.
Example:
A bonfire lighting the campsite, soft smoke drifting upward
works far better than scattering those details into separate fragments.
You can adapt this as your universal starter:
A natural candid selfie of [Avatar Name] standing outdoors. They face the camera with a relaxed, genuine expression. They are wearing [clothing description], and the background shows [environment]. Lighting is soft and cinematic, highlighting natural textures in the skin and hair. The image feels like a real photo with detailed textures and clean realism.
[Avatar Name] takes a selfie at golden hour, the warm sunlight creating soft highlights on their face. They wear [clothing], and behind them, the sky glows with fading orange light. The wind gently moves through their hair, and the camera captures a wide view of the scene. Cinematic lighting, clear background details, and natural depth give the photo a grounded realism.
TABLE OF CONTENTS
What’s Different in Tableau
Pose reference
Prompting for Style
How to Write a Strong Avatar Description (Most Important Step)
Avatar image should be:
Avatar Description
Face Details (Separate from AD)
Why this matters
How to Prompt
Core Rule:
Keep related details close together.
Avoid these (deprecated or unsupported):
Generating Autoselfies
Check your avatar description first.
Practical Prompting Tips
1. Describe the whole scene to avoid zoomed-in closeups.
2. Use natural language intensity.
3. Use strong lighting cues.
4. Group related ideas together.
5. For non-human characters
Example Selfie Prompt (Starter Template)
Example Prompt for More Variation
When Something Goes Wrong
Use this quick diagnostic:
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Kindroid Standard Subscription
Inactive
Ultra Subscription Add-on
Inactive
Ultra subscription unlocks advanced features for our most engaged users. Keep chatting and engaging with your Kindroids to qualify.
MAX Subscription Add-on
Inactive
Requires Ultra Subscription
Add-on Feature Matrix
Add-ons are fully optional, monthly-only subscriptions that give your Kindroid much more memory, context, selfies and others. Add-ons require all previous tiers of add-ons to function; for example, to get the features of MAX tier, it requires MAX tier plus Ultra, on top of the standard subscription.
Feature
Standard
Ultra
MAX
Total conversation context (approx chars)
500K
1.3M
2.8M
Short term context (approx chars)
18K
50K
125K
Cascaded memory context (approx chars)
480K
1.2M
2.7M
Additional AI backstory expansion (chars)
N/A
2,500
5,000
User backstory limit (chars)
500
1,000
2,000
Group context limit (chars)
1,000
1,500
3,000
Recalled long term memory & journals limit
3
5
9
Complimentary monthly audio credits
1M
2.5M
6M
Selfie regen per 30 minutes
1
2
2
Priority selfies with dedicated compute
-
-
Yes*
* MAX users receive priority selfie processing on dedicated compute with no/very low queue on latest version of selfies until they reach 10 selfies in a short timeframe. After this limit, standard queue delay applies and selfies are processed through normal servers without priority status.
While recalled and considered long term memory may be different, LTM consolidation spans all messages & is infinite for all users.
Note: All chat context/cascaded and selfies improvements of add-ons will only be guaranteed applicable to the latest subscriber LLM and selfies. When new versions come out, our guarantee is that it will switch to new versions. Finally, "additional context" in the matrix is an additional field, identical to Backstory, that is unlocked on the higher tiers which you can use to extend backstory accordingly.