Kiara model catalog

Image models for cinematic creators.

A production-style view of every image model currently exposed in Kiara Spicy: what it is for, what it accepts, what it can output, and how to get the best result from it.

Browse models Choose workflow

Precision image

GPT 2

Input: Prompt, or prompt plus images
Output: Square, wide, or vertical
Quality: Medium or High detail

Realism polish

Kiara Realism

Input: One source image plus a short style note
Output: Source shape preserved
Quality: 2K realism polish

Overview

Pick by job, not by name.

The catalog is split into generation, reference editing, enhancement, and roadmap lanes. The important decision is whether the user needs a clean prompt-first image, a reference transformation, or a finishing pass on an existing image.

image lanes

active or beta

reference-first

source-sized

Creator workflow

Choose by intent. Finish by quality.

Start with the job the image has to do. New concept, controlled reference, heavy edit, or final polish: each lane has a different strength.

Prompt Reference Edit Finish

01

Open brief

Start with text when the image does not exist yet.
Use a prompt-first lane for a new character, product shot, mood piece, or cinematic still. The prompt should define subject, setting, camera, light, wardrobe, and finish before any reference is added.
02

Locked source

Use reference lanes when identity or pose must survive.
Reference-aware models are best when the user already has a face, outfit, product, pose, or style anchor. Every uploaded image needs a job: identity, body, product, pose, lighting, or mood.
03

Rebuild scene

Use edit lanes when the image needs a new reality.
Editing models are for changing action, outfit, environment, pose, or combining subjects. Treat the prompt like a production note: who stays, what changes, where the scene happens, and what the final camera sees.
04

Final pass

Use enhancement lanes after the composition is approved.
Realism, sharpening, upscale, and relight tools preserve the existing image. They are the final-mile pass for texture, skin detail, cleaner edges, stronger light, and delivery quality.

Image models

Current Kiara image stack.

Generate

Prompt-first image models for clean stills, concepts, product scenes, and cinematic looks.

Available

Identity stills

Kiara Z MAX 2

Signature realism for solo characters and polished mood images.

A prompt-first realism lane for creating a finished image from nothing but a written scene. It is strongest when the brief is clean, visual, and centered around one subject or one clear mood.

Prompt field
Ratio picker
No refs
3 quality paths
Negative prompt
8-30s estimate

Input: Prompt only
References: No upload required
Output: Square, wide, or vertical
Quality: Fast, Standard, or High finish

How it works

Text-to-image realism lane. The written prompt controls the subject, camera, ratio, lighting, negative space, and finish. No uploaded image influences identity or pose.

Input contract

No reference upload is needed.
Use 1:1, 16:9, or 9:16 before submitting.
Fast, Standard, and High change the render tradeoff between speed and sharper detail.

Prompt shape

Subject and scene first.
Then camera angle, lens feel, wardrobe, lighting, and skin or material texture.
End with the finish: editorial, film grain, clean studio, glossy, low-key, or natural.

Use it for

AI identity shots, beauty portraits, social stills, quick visual direction.

Best practice

Give it a clear subject, lens, lighting, outfit, and one mood anchor.

Lead with the subject and scene, not style tags.
Add lens, lighting, skin detail, wardrobe, and final finish.
Keep the pose simple when identity consistency matters.

Avoid

Do not use it when a specific uploaded face must be preserved. Avoid stacking multiple unrelated scenes into one prompt.

Strong solo character look
No reference required
Fast creative draft path

Default

Precision image

GPT 2

The clean instruction follower for exact details and multi-reference composition.

The most instruction-accurate general image lane. It is the best choice when the user needs exact objects, text-like layout discipline, product cleanliness, or several references blended into one controlled result.

Prompt field
Ratio picker
Up to 8 refs
2 quality paths
15-120s estimate

Input: Prompt, or prompt plus images
References: Up to 8 optional references
Output: Square, wide, or vertical
Quality: Medium or High detail

How it works

Instruction-first image lane with optional reference support. It is strongest when the brief contains exact layout, object, identity, color, and composition rules.

Input contract

Prompt is always the main instruction.
Add up to 8 references when identity, product shape, outfit, or style must be controlled.
Medium is the default balance; High is for the cleanest detail.

Prompt shape

Name the final image in one sentence.
List reference roles clearly: face, outfit, product, pose, room, or style.
Specify what must stay unchanged and what should be changed.

Use it for

Product shots, exact scene requests, clean edits, multi-reference compositions.

Best practice

Be explicit about layout, object positions, exact colors, and what must stay unchanged.

Name every object that must appear.
Describe placement from left to right when layout matters.
Use references for identity, product shape, or exact visual language.

Avoid

Do not upload references without explaining their role. Do not rely on vague words when exact placement matters.

Best default image model
Handles optional references
Clean product and edit direction

Available

Cinematic image

Wan2.7 Image Pro

A cinematic still model for beauty, fashion, people, and detailed scene direction.

A cinematic still lane for beauty, fashion, people, atmosphere, and scene direction. It responds well to cinematic language and can use references when the user wants a specific person, outfit, or location feeling.

Prompt field
Ratio picker
Up to 8 refs
1 quality path
15-180s estimate

Input: Prompt, or prompt plus images
References: Up to 8 optional references
Output: Square, wide, or vertical
Quality: Balanced production finish

How it works

Cinematic prompt and reference lane for people, beauty, fashion, and environment-heavy stills. It benefits from director-style language and clean visual hierarchy.

Input contract

Works from prompt alone or with up to 8 optional references.
Uses square, wide, or vertical output.
The current production lane exposes a single balanced quality path.

Prompt shape

Write the shot like a film still.
Define subject, location, action, wardrobe, camera distance, lens, light source, color palette, and texture.
Use references for the exact face, clothing, location mood, or set design.

Use it for

Fashion editorials, beauty stills, lifestyle scenes, atmospheric portraits.

Best practice

Lead with cinematic context, then subject details, then lighting and camera language.

Write the scene like a short director brief.
Specify lighting source, lens feel, palette, texture, and mood.
Use references for wardrobe, face, or set design, not for every tiny detail.

Avoid

Do not mix too many incompatible style directions. Avoid weak prompts that only say beautiful, cinematic, or realistic.

Fashion and beauty tone
Detailed people prompts
Prompt or reference driven

Available

Stylized stills

Kiara Vogue

Fast sharp compositions with bold lighting and stylized prompt response.

A fast stylized still lane for sharp visual ideas, bold lighting, and cinematic thumbnails. It is useful when the user wants punchy composition quickly instead of slow high-control refinement.

Prompt field
Ratio picker
Up to 4 refs
2 quality paths
8-90s estimate

Input: Prompt, or prompt plus images
References: Up to 4 optional references
Output: Square, wide, or vertical
Quality: Standard or 2K output

How it works

Fast stylized composition lane. It is built for bold visual direction, strong framing, lighting experiments, and quick high-end image concepts.

Input contract

Prompt-only works well; up to 4 references can guide style or subject.
Choose 1K Standard for quick review or 2K High for cleaner delivery.
Use ratios for social, banner, or portrait framing.

Prompt shape

Keep the concept punchy.
Use clear framing words like close-up, low angle, overhead, profile, or wide editorial.
Add one dominant lighting or color idea instead of several competing ones.

Use it for

Storyboards, bold concept art, cinematic thumbnails, quick visual alternates.

Best practice

Use strong composition words and one clear lighting idea.

Keep the concept punchy and visual.
Use strong framing words like close-up, overhead, profile, or low angle.
Do not overpack it with too many competing style directions.

Avoid

Do not use it as the final precision lane for complex product layouts. Avoid overloading the prompt with too many characters.

Fast cinematic ideas
Bold lighting
Good mood exploration

Reference and Edit

Models that need one or more uploaded images and transform them into the final result.

Beta

Reference transform

Nano Banana

One primary reference plus a scene prompt for outfit, setting, and action changes.

A reference transformation lane. Upload one primary image, then describe the new scene, outfit, environment, pose, or mood. It is built for taking a person or object from the source and placing it into a fresh composition.

Prompt field
Ratio picker
1 required ref
2 quality paths
20-90s estimate

Input: One image plus a scene prompt
References: 1 required primary reference
Output: Square, wide, or vertical
Quality: High-resolution composed result

How it works

Reference transformation lane. One primary image anchors the subject, then the prompt moves that subject into a new scene, outfit, action, or visual style.

Input contract

One primary reference is required.
The prompt should say what to keep from the reference and what to replace.
Aspect ratio can be square, wide, or vertical.

Prompt shape

Start with: keep the same person or object from the reference.
Then describe the new setting, pose, wardrobe, lighting, and camera.
Mention identity-sensitive details that must not drift.

Use it for

Put this person into a new scene, outfit, pose, or visual concept.

Best practice

Tell it what to keep from the reference and what to replace in the final scene.

Say exactly what must stay from the reference.
Describe the new setting and wardrobe separately.
Use clean source images where the subject is not hidden or heavily cropped.

Avoid

Do not use blurry or heavily cropped references. Do not expect it to combine several unrelated people from one image with perfect separation.

Primary reference required
Scene transformation
Character restyling

Available

Scene edit

Kiara Edit Base

Reference-based scene composition for one subject, multiple subjects, or pose control.

A scene-composition editor. It can use one subject, add a second subject, and optionally follow a pose reference while rebuilding the final scene around the written action.

Prompt field
Source-sized
1 required ref
Up to 3 refs
60-240s estimate

Input: Image references plus a scene prompt
References: 1 required, 2 optional
Output: Source shape preserved with high-end finish
Quality: Detailed composite output

How it works

Scene composition and edit lane. It accepts a main source, optional second image, optional pose guide, then rebuilds the final scene around the written action.

Input contract

Reference 1 is the main source or character and is required.
Reference 2 can add a second person, object, or visual source.
Reference 3 can guide pose or framing when body position matters.

Prompt shape

Write it like a production note.
State who stays, what changes, where the scene happens, what the action is, and what the final camera should see.
Call out any identity, outfit, or background details that must stay locked.

Use it for

Changing a subject into a new action, scene, outfit, or multi-person composition.

Best practice

Separate subject identity, new action, environment, and what should stay unchanged.

Use reference 1 for the main subject.
Use reference 2 only when a second subject or object matters.
Use the pose reference to guide body angle and framing, not identity.

Avoid

Do not upload optional references without saying what each one controls. Avoid asking for too many simultaneous body, scene, and identity changes in one pass.

Source character required
Optional second character
Optional pose reference

Available

Face swap

Face Swap Base

Fast face transfer from a face reference onto a body or scene image.

A fast identity transfer lane. Upload a body or scene image and a separate face image; the result follows the body image for pose, outfit, and framing while transferring the face identity.

Prompt field
Source-sized
2 required refs
20-60s estimate

Input: Body image plus face image
References: 2 required references
Output: Matches body image shape
Quality: Fast clean swap

How it works

Fast face transfer lane. The body or scene image controls pose, clothing, background, and framing; the face image controls identity.

Input contract

Two images are required: body or scene first, face second.
Output follows the body image shape.
Use this for quick swaps and tests before the premium finish.

Prompt shape

Use the body image for the final pose and outfit.
Use a clear face reference with readable eyes, nose, jaw, and lighting.
Add only a short instruction if the expression or finish needs guidance.

Use it for

Quick identity transfer when you already have a body scene and face reference.

Best practice

Use the body image for pose and clothing, the face image for identity.

Use a clear face image with frontal readability.
Pick a body image with similar angle and lighting when possible.
Use FaceSwap PRO when the result needs a final 4K polish.

Avoid

Do not use tiny, blurry, side-profile face images. Avoid body images where the face is hidden, obstructed, or at an impossible angle.

Two references required
Fast swap path
Source dimensions preserved

Available

Face studio

FaceSwap PRO

Premium head swap with a 4K finish for higher-end identity work.

The premium face-swap lane. It follows the same body-plus-face workflow as the fast swap, then applies a stronger finishing pass for cleaner high-resolution delivery.

Prompt field
Source-sized
2 required refs
45-180s estimate

Input: Body image plus face image
References: 2 required references
Output: Matches body image shape
Quality: 4K premium finish

How it works

Premium face transfer lane with a stronger finishing pass. It follows the same two-image contract as the fast swap but targets cleaner high-resolution delivery.

Input contract

Two images are required: body or scene first, face second.
Best when the body image already has the final pose and lighting.
Use it when the result is meant to be published or sold.

Prompt shape

Keep the body image as the final composition.
Pick the cleanest face reference available.
Use prompt text only for subtle expression, realism, or finish notes.

Use it for

Final-ready face swaps, creator identity work, high-resolution outputs.

Best practice

Use clean, front-readable face refs and a body image with the final pose.

Use this when the face swap is the final asset.
Choose body images with clean light and visible facial structure.
Avoid tiny, blurry, side-profile face references.

Avoid

Do not use it to invent a new body pose from text. Avoid mismatched extreme lighting between the face and body references.

4K finish
Body plus face references
Higher delivery quality

Enhance

Finishing models for realism, detail, sharpness, and lighting control.

Available

Realism polish

Kiara Realism

Texture and realism enhancement for uploaded images with source dimensions preserved.

A realism and texture finisher for existing images. It is not for rebuilding the whole composition; it is for making an image feel more natural, detailed, less artificial, and more production-ready.

No prompt field
Source-sized
1 required ref
1 live control
20-60s estimate

Input: One source image plus a short style note
References: 1 required source image
Output: Source shape preserved
Quality: 2K realism polish

How it works

Realism finisher for an existing image. The source image drives structure and size; the short text note only tells the model what kind of realism pass to apply.

Input contract

One source image is required.
No aspect-ratio picker: output follows the source image shape.
Use it after the composition is already correct.

Prompt shape

Keep the text note short.
Ask for skin texture, natural pores, realistic fabric, better light, film texture, or clean editorial realism.
Use it as a polish step, not a rewrite step.

Use it for

Fixing AI-looking skin, improving texture, polishing a finished reference.

Best practice

Keep the note short: film texture, skin realism, natural light, or clean editorial finish.

Use it after the composition is already good.
Keep the instruction short and finish-oriented.
Ask for natural skin, fabric texture, realistic light, or artifact cleanup.

Avoid

Do not ask it to change the entire pose or scene. Do not use it to fix a fundamentally wrong composition.

Skin texture repair
AI artifact cleanup
2K realism finish

Available

Enhancement

Kiara Sharp X

Upload one image and sharpen, denoise, upscale, and finish it for delivery.

A final delivery enhancer. It sharpens, denoises, and upscales an existing image while keeping the original idea intact. Use it as the last step before publishing or sending an image to a user.

No prompt field
Source-sized
1 required ref
1 live control
20-60s estimate

Input: One source image
References: 1 required source image
Output: Source shape preserved
Quality: 2K fast finish or 4K final finish

How it works

Pure enhancement lane. The source image is the brief; the model sharpens, denoises, upscales, and adds a controlled final finish.

Input contract

One source image is required.
No prompt field is used.
Pick 2K for normal delivery or 4K for final high-resolution output.

Prompt shape

No prompt needed.
Decide whether the image deserves 2K or 4K.
Use it only after the creative image is already approved.

Use it for

Final pass on good images, delivery polish, cleaner social or print output.

Best practice

The source image is the brief. Pick 2K for speed, 4K for final delivery.

Use 2K for normal posts and fast review.
Use 4K only when the source is worth preserving.
Do not use it to fix a bad pose or wrong composition.

Avoid

Do not expect pose, wardrobe, or background changes. Avoid sending low-value drafts through 4K just because the option exists.

No prompt needed
2K or 4K finish
Subtle denoise and grain

Available

Light edit

Light Editor

Preserve the image while changing direction, intensity, and color of light.

A lighting-control tool for finished images. It keeps the subject and composition intact while changing key-light direction, strength, color, and cinematic bloom.

No prompt field
Source-sized
1 required ref
4 live controls
25-90s estimate

Input: One finished image
References: 1 required source image
Output: Source shape preserved
Quality: Controlled relight pass

How it works

Lighting-control lane. It preserves the subject and composition while rewriting the direction, intensity, color, and cinematic bloom of the light.

Input contract

One finished source image is required.
No prompt is needed.
Use direction, intensity, color, and cinematic mode to control the look.

Prompt shape

Choose the light direction first.
Then choose the strength and color temperature.
Use cinematic mode for bloom, halation, and a softer premium light rolloff.

Use it for

Turning flat images into studio, rim light, warm gold, neon, or moody looks.

Best practice

Choose light direction first, then intensity and color.

Use it on images that already have a good pose and face.
Pick one clear lighting direction before changing color.
Use cinematic mode for bloom, halation, and a softer premium finish.

Avoid

Do not use it before the image composition is approved. Do not expect identity, outfit, or background edits from the light controls.

No prompt needed
Lighting direction controls
Cinematic bloom toggle

Coming next

Visible roadmap lanes that will become production tools after testing.

Coming soon

Character model

Kiara Character

Reusable trained Kiara Character renders with locked identity.

A future trained-character lane for reusable creator identities. Once enabled, it will let users render the same trained character across new scenes without uploading references every time.

Prompt field
Ratio picker
No refs
2-20s estimate

Input: Trained character plus prompt
References: Training-based identity
Output: Square, wide, or vertical
Quality: Reusable identity workflow

How it works

Trained-character lane for recurring creator identities. Once enabled, the selected character profile supplies identity and the prompt supplies the scene.

Input contract

Requires a trained Kiara Character.
No uploaded reference is needed for the base lane.
Square, wide, and vertical framing are supported.

Prompt shape

Treat the prompt as scene direction, not identity training.
Describe location, action, wardrobe, lighting, camera, and finish.
Use simple, repeatable scene language for campaign consistency.

Use it for

Recurring AI models, creator personas, campaign consistency.

Best practice

This lane depends on a ready trained character.

Use it for long-running creator identities.
Keep prompts scene-focused because identity comes from the trained profile.
Use reference-guided character generation when a pose anchor is needed.

Avoid

Do not expect this lane to work without a ready character profile. Avoid changing identity traits that should come from the trained character.

Trained character identity
Reusable across scenes
Text-to-image once enabled

Available

Adult creator model

Kiara Spicy I

Vertical creator portrait lane with locked photorealism and safety anchors.

Two-stage character portrait pipeline. Stage 1 builds the body and scene from your prompt on a realism-tuned SDXL checkpoint, locked at 896×1536. Stage 2 transfers the face and hair from your uploaded reference using Flux2 Klein, preserving the body pose, clothing, and lighting from stage 1. Photorealism + quality + safety anchors are baked in on every gen, so your prompt only describes scene and pose intent.

Prompt field
Ratio picker
1 required ref
Negative prompt
60-240s estimate

Input: Face reference plus scene prompt
References: 1 required face reference
Output: Vertical creator format (896×1536, fixed)
Quality: Locked photorealism + safety anchors

How it works

Two-stage vertical creator portrait lane. Stage 1 generates the body and scene on a realism-tuned SDXL checkpoint at a fixed 896×1536. Stage 2 transfers face + hair from the uploaded reference using Flux2 Klein, preserving body pose, clothing, and lighting from stage 1.

Input contract

One face reference is required (identity + hair source).
Prompt drives scene, pose, wardrobe, lighting. Style tokens are unnecessary — they are locked.
Output is always 896×1536 vertical; reframe in post if needed.

Prompt shape

Describe location, action, wardrobe, lighting, and mood.
Skip generic quality tokens like "photorealistic" or "high quality" — already in the locked anchor.
Add pose direction and camera framing for repeatable creator output.

Use it for

Spicy creator portraits, vertical character imagery, repeatable identity work.

Best practice

The style anchor ("beautiful woman, photorealistic, high quality, detailed skin texture") and a tuned safety negative are locked on every gen. Your prompt adds scene, pose, outfit, and mood; you do not need to write style or quality tokens.

Use a clean, frontal face reference for cleanest identity transfer.
Write scene + pose + wardrobe + lighting; skip generic quality tokens — they are already locked.
Output dimensions are fixed at 896×1536; reframe in post if you need a different shape.

Avoid

Do not rewrite the style anchor — your prompt sits on top of it, not in place of it. Do not pass quality tokens; they are duplicated by the locked positive anchor. Do not expect ratios other than 9:16 — the latent is fixed.

Locked photorealism style
Reference-driven identity
Vertical 9:16 creator framing

Video models & pricing

Powered by Seedance 2.0.

Every Kiara Spicy video runs on Seedance 2.0 — a multimodal engine that turns text, reference images, clips and audio into footage. Pick a tier for the quality you need, and pay only by the second you generate. Here are the models, their specs, and exactly how the price is built — with a live calculator.

Three tiers, one engine

Every tier is Seedance 2.0 under the hood — the same multimodal inputs. What changes is the quality ceiling, the top resolution, and the price.

Seedance 2.0 Mini

Cheapest

Fast, low-cost drafts and high-volume runs. Native 480p/720p, upscaled higher.

Quality

Speed

Value

Top resolution: 1080p (upscaled)
Length: 4–15s
From (720p): 46 cr/s

Seedance 2.0

Kiara Dream Pro

Flagship

Highest-fidelity renders for hero shots and finals. Adds true 2K output.

Quality

Speed

Value

Top resolution: 2K (upscaled)
Length: 4–15s
From (720p): 91 cr/s

Capability	Mini	Seedance 2.0	Dream Pro
Native resolution	480p / 720p	480p / 720p	720p
Top resolution	1080p	1080p	2K
Clip length	4–15s	4–15s	4–15s
Text-to-video	✓	✓	✓
Reference images	up to 9	up to 9	up to 9
Reference clips	up to 3	up to 3	up to 3
Reference audio	✓	✓	✓
Relative speed	Fastest	Fast	Standard
Price tier	Lowest	Standard	Premium

Credits by clip length

Longer clips cost proportionally more, and a higher tier costs more per second. Same length, three price points.

Dream Pro Seedance 2.0 Mini

What you're paying for

Per-second billing

Every second of generated video has a rate. A 10-second clip costs twice a 5-second one. Higher resolution and higher tiers raise the per-second rate.

Reference clips count

When you guide a render with a reference video, we process its full length too — so its seconds are added to the billed total on top of your output length.

A small minimum

Very short clips carry a fixed minimum billed length, because every render has a baseline cost. Past that, you simply pay for the seconds you use.

Price calculator

Set it up exactly like you would in the studio. This lands on the same number you'll be charged.

Model

Resolution

Clip length 5s

Reference video none

Total seconds of clips you attach to guide the render. Leave at 0 if you're not using reference video.

You'll pay

364 credits

Seedance 2.0 · 720p

Generated footage5s

Billed length5s

Per-clip examples

A standard clip with no reference video, at 720p, in credits. Mini is the cheapest way to generate.

Model	Resolution	5 sec	10 sec	15 sec

Prices include everything — no hidden fees, and reference images are always free. You see the exact cost before you generate.

Production stacks

How the lanes combine in real jobs.

Prompt to publish

New concept, clean final.

Best when the creator starts with only an idea and needs a polished image quickly.

Draft in GPT 2 or Kiara Z MAX 2.
Run Kiara Realism once the composition is right.
Finish with Kiara Sharp X only for approved outputs.

Reference redesign

Same subject, new scene.

Best when a face, product, outfit, or pose already exists and the user wants a new visual world around it.

Use Nano Banana for one-reference transformations.
Use Kiara Edit when a second subject or pose guide is needed.
Relight or sharpen after the scene is locked.

Identity swap

Body scene plus face identity.

Best when the final pose, outfit, and background already exist but identity must be transferred cleanly.

Use Face Swap Base for fast testing.
Use FaceSwap PRO for the final high-resolution pass.
Keep source angles and lighting close for the best face match.

Light direction

Turn a flat image into a cinematic frame.

Best when the subject and scene are correct but the image needs mood, rim light, colored light, or studio polish.

Start from any approved image.
Use Light Editor to choose direction, color, intensity, and bloom.
Use Sharp X last if the image needs delivery-grade resolution.

Support overview

What each model is built to handle.

Model	Best use	Input	References	Output	Quality path
Kiara Z MAX 2	AI identity shots, beauty portraits, social stills, quick visual direction.	Prompt only	No upload required	Square, wide, or vertical	Fast, Standard, or High finish
GPT 2	Product shots, exact scene requests, clean edits, multi-reference compositions.	Prompt, or prompt plus images	Up to 8 optional references	Square, wide, or vertical	Medium or High detail
Wan2.7 Image Pro	Fashion editorials, beauty stills, lifestyle scenes, atmospheric portraits.	Prompt, or prompt plus images	Up to 8 optional references	Square, wide, or vertical	Balanced production finish
Kiara Vogue	Storyboards, bold concept art, cinematic thumbnails, quick visual alternates.	Prompt, or prompt plus images	Up to 4 optional references	Square, wide, or vertical	Standard or 2K output
Nano Banana	Put this person into a new scene, outfit, pose, or visual concept.	One image plus a scene prompt	1 required primary reference	Square, wide, or vertical	High-resolution composed result
Kiara Realism	Fixing AI-looking skin, improving texture, polishing a finished reference.	One source image plus a short style note	1 required source image	Source shape preserved	2K realism polish
Kiara Sharp X	Final pass on good images, delivery polish, cleaner social or print output.	One source image	1 required source image	Source shape preserved	2K fast finish or 4K final finish
Kiara Edit Base	Changing a subject into a new action, scene, outfit, or multi-person composition.	Image references plus a scene prompt	1 required, 2 optional	Source shape preserved with high-end finish	Detailed composite output
Face Swap Base	Quick identity transfer when you already have a body scene and face reference.	Body image plus face image	2 required references	Matches body image shape	Fast clean swap
Kiara Style	Outfit experiments, wardrobe try-ons, look variations from a single character.	Two references — character first, outfit source second	2 required references in order	Matches character image shape	Fast clean swap
FaceSwap PRO	Final-ready face swaps, creator identity work, high-resolution outputs.	Body image plus face image	2 required references	Matches body image shape	4K premium finish
Light Editor	Turning flat images into studio, rim light, warm gold, neon, or moody looks.	One finished image	1 required source image	Source shape preserved	Controlled relight pass
Kiara Character	Recurring AI models, creator personas, campaign consistency.	Trained character plus prompt	Training-based identity	Square, wide, or vertical	Reusable identity workflow
Kiara Spicy I	Spicy creator portraits, vertical character imagery, repeatable identity work.	Face reference plus scene prompt	1 required face reference	Vertical creator format (896×1536, fixed)	Locked photorealism + safety anchors

Prompting

Model-aware prompt rules.

Identity stills

Kiara Z MAX 2

Give it a clear subject, lens, lighting, outfit, and one mood anchor.

Precision image

GPT 2

Be explicit about layout, object positions, exact colors, and what must stay unchanged.

Cinematic image

Wan2.7 Image Pro

Lead with cinematic context, then subject details, then lighting and camera language.

Stylized stills

Kiara Vogue

Use strong composition words and one clear lighting idea.

Reference transform

Nano Banana

Tell it what to keep from the reference and what to replace in the final scene.

Realism polish

Kiara Realism

Keep the note short: film texture, skin realism, natural light, or clean editorial finish.

Enhancement

Kiara Sharp X

The source image is the brief. Pick 2K for speed, 4K for final delivery.

Scene edit

Kiara Edit Base

Separate subject identity, new action, environment, and what should stay unchanged.

Face swap

Face Swap Base

Use the body image for pose and clothing, the face image for identity.

Outfit swap

Kiara Style

The direction anchor is locked — slot 1 always keeps face + hair, slot 2 always provides the clothing. Leave the prompt empty for a full outfit swap. Use a short instruction only to scope it ("only the top", "keep the skirt", "and the shoes too").

Face studio

FaceSwap PRO

Use clean, front-readable face refs and a body image with the final pose.

Light edit

Light Editor

Choose light direction first, then intensity and color.

Character model

Kiara Character

This lane depends on a ready trained character.

Adult creator model

Kiara Spicy I

Roadmap

The next version turns this into a live model guide.

This first page is the static catalog. The next pass can wire it to the live `/api/dream/image` response, expose availability status, add example outputs per model, and let Lexa recommend the right lane from a user brief.

Image models for cinematic creators.

GPT 2

Kiara Realism

Pick by job, not by name.

Choose by intent. Finish by quality.

Start with text when the image does not exist yet.

Use reference lanes when identity or pose must survive.

Use edit lanes when the image needs a new reality.

Use enhancement lanes after the composition is approved.

Current Kiara image stack.

Generate

Kiara Z MAX 2

How it works

Input contract

Prompt shape

Use it for

Best practice

Avoid

GPT 2

How it works

Input contract

Prompt shape

Use it for

Best practice

Avoid

Wan2.7 Image Pro

How it works

Input contract

Prompt shape

Use it for

Best practice

Avoid

Kiara Vogue

How it works

Input contract

Prompt shape

Use it for

Best practice

Avoid

Reference and Edit

Nano Banana

How it works

Input contract

Prompt shape

Use it for

Best practice

Avoid

Kiara Edit Base

How it works

Input contract

Prompt shape

Use it for

Best practice

Avoid

Face Swap Base

How it works

Input contract

Prompt shape

Use it for

Best practice

Avoid

FaceSwap PRO

How it works

Input contract

Prompt shape

Use it for

Best practice

Avoid

Enhance

Kiara Realism

How it works

Input contract

Prompt shape

Use it for

Best practice

Avoid

Kiara Sharp X

How it works

Input contract

Prompt shape