10 KiB
Krea2 Prompt Guide
This document records prompt rules discovered from actual SxCP generator outputs tested in Krea2. It is not a generic prompt cookbook. Add a rule only when an A/B image comparison shows that the wording improves or breaks Krea2 behavior.
Core Rule
Krea2 responds best when the prompt gives one clear visual hierarchy:
- subject/cast descriptor,
- action or pose,
- clothing state,
- location,
- camera/layout,
- expression,
- composition/crop,
- style.
Avoid letting two sections describe incompatible camera or framing intents.
Prompt Output Contract
sxcp_eval_outmust contain only the prompt being tested.- Analysis, scoring, and generator notes belong in chat or
sxcp_eval_log. - Keep one experiment variable per cycle when possible.
- Lock seed, character, location, and camera when testing wording changes.
- Treat the MCP seed as transport metadata. Preserve it for prompt-only A/B tests and do not write it into the visible prompt text.
Seed-Controlled A/B Tests
Use one fixed seed when deciding whether prompt wording helped Krea2. A single image can justify a prompt-only retry when the mismatch is obvious, but a generator rule needs either repeated evidence or a generated prompt that is structurally wrong before rendering.
When a workflow batches soft/hard prompts through an index switch, sidecar text files may not be the exact prompt used for each rendered image. If the sidecar and image disagree, inspect the PNG workflow metadata and the final text encode input before patching the generator.
When reviewing an eval payload, log:
- emitted seed,
- original generated prompt,
- edited prompt,
- image failure or improvement,
- whether the change should stay prompt-only or become a generator patch.
Camera And Composition
Orbit / Multiangle Camera
When Krea2 receives an orbit or multiangle camera, avoid selfie-specific wording unless the intended camera is actually a handheld or mirror selfie.
Works better:
lifestyle portrait framecreator portrait frameoutfit-check posewide environmental coworking camera layoutcamera placed several meters awayfull seated body from head to kneesroom depth surrounding the subject
Conflicting wording:
selfie framephone selfieholding the phonecreator-shot phone photohandheld camera realism
Observed result: selfie words pulled a back-right elevated wide shot into an arm-length selfie. Removing selfie terms made the image follow the rear-quarter view much better.
Wide Shots
Krea2 tends to keep attractive subjects large in frame. To get a real wide or environmental frame, be explicit about distance and visible environment.
Useful phrasing:
camera placed several meters away across the desk aislefull seated body from head to knees remains visiblenearby desk edge, laptop corner, repeated desk rows, and tall-window depth clearly readablewide environmental room framing
Avoid relying on wide shot alone.
Location Layout
Location-aware camera text works when it describes the room around the subject without stealing the foreground from the subject.
For coworking lounge:
- Keep
warm desks,laptop tables,glass partition seams,repeated desk rows,plants, andtall windows. - Mention foreground anchors only when the camera should actually see them.
- In POV, keep location anchors beside or behind the bodies, not in the lower foreground.
Clothing Continuity
When a softcore outfit is reused in a later branch, name what happens to actual outfit pieces instead of using generic fabric language.
Works better:
denim shorts are pulled aside or removed below the hipsbutton-down shirt tied at the waist and fitted bralette remain visible from the same outfit
Avoid generic fallback wording:
fabric slipping offpartly exposedoutfit pushed aside where needed
Use generic wording only when no source outfit exists.
Climax / Ejaculation Wording
Krea2 needs the visible fluid action stated directly in climax routes. Keep
semen in the action sentence when the generator intends an ejaculation or
post-ejaculation image.
Works better:
the man ejaculates semen across her bodyvisible semen lands across her bodyejaculates semen across her lower back, ass, and thighs
Avoid relying only on softer aftermath wording:
visible ejaculationvisible orgasm aftermathcum on hands and body
Seed 42052 exposed this as a structural formatter issue: the route selected a
standing/kneeling climax pose, but the Krea prompt dropped semen and kept only
generic aftermath language. The generator now preserves direct ejaculates semen wording for this path before the prompt reaches Krea2.
POV Outercourse
Boobjob / Titjob
The atlas examples are frontal and upright: the visible partner faces the viewer, kneels between the viewer's thighs, and compresses the shaft between the breasts. Forward-bent wording can still place the body correctly, but it weakens the breast contact.
Works better:
POV boobjob positionwoman kneels upright between his legs facing himpenis rises vertically in the lower foregroundsqueezed between her pressed-together breastswoman's own fingers and nails cup her breasts from the outsideglans emerging above the cleavage directly below her mouth
Avoid vague or conflicting wording:
torso bent forward over his pelvisboth hands push her breastswithout naming whose handsonly foreground handswhen the intended hands are the woman's hands
Handjob
The atlas examples are direct and simple: the woman faces the viewer between his
thighs, her hand is the visible contact point, and her face or torso stays behind
the shaft. In fixed-seed tests, naming one hand plus a generic POV camera line
could make the lower hand read as the viewer's hand. Naming the woman's hands
made the action clearer.
Works better:
POV handjob positionwoman kneels between his legs facing himthe woman's right hand wraps around the viewer's penisher left hand steadies the baseviewer thighs and pelvis frame the lower edgeswithout his hands covering the action
Avoid:
- generic
one hand gripswhen hand ownership matters - allowing
foreground handsto compete with the woman's active hand
POV
In POV prompts, the visible subject should still be established first. The POV participant is the camera viewpoint, not a normal visible cast member.
Works better:
- visible subject descriptor first,
- then POV action,
- then foreground hands/body/clothing cues.
For POV clothing, describe only visible body/clothing fragments:
foreground hands, hips, thighs, or lowered waistbandforeground hands, forearms, sleeves, or torso edge
Avoid:
- full third-person
Man A wears...phrasing for the POV participant, - making
the viewerthe first subject before the visible character is established.
For POV climax wording, the fluid target must follow the pose before expression tokens. Rear-entry, doggy, bent-over, face-down, and on-all-fours poses should target the ass, thighs, and lower back even if the expression detail mentions face, lips, mouth, or tongue.
Evidence:
- Dataset seed
52generated an internally contradictory prompt: on-all-fours rear-view positioning paired with a face/chest ejaculation target. - Corrected seed
52and follow-up seed5202both rendered the rear-view target consistently when the wording usedacross her ass, thighs, and lower backand kept the clothing state tied to the lower garment.
POV Doggy / Rear-Entry
For doggy-style POV, visible viewer thighs, lower torso, or pelvis can be correct. Real POV references often show them. The useful target is not removing the viewer body, but making the body cues read as a standing or crouched first-person viewpoint instead of a vague seated pose.
To push the reference closer to a standing or crouched man looking down, use a top-down rear-entry structure:
top-down standing POV doggy position from behindcamera looks down over the viewer's extended hands onto the woman's raised hipswoman is on all fours with chest low, forearms folded, cheek turned sidewaysrear-entry penetration visible between raised hipsface and mouth remain far ahead, clearly separated from the penis
Do not use visible shoes or lower legs as the standing cue. Seed 65 showed
that adding shoes/lower legs made Krea2 drift into oral contact and lose the
rear-entry geometry.
Do not over-prompt viewer torso and thighs outside frame; seeds 65 and
6602 showed Krea2 still draws lower-body POV cues, and real references support
that. Prefer framing them as plausible foreground body cues rather than trying
to suppress them.
Stronger-Control / Low-Priority Cases
Some atlas routes are useful to catalog but are not good prompt-only tuning targets yet. Keep these out of the normal fixed-seed prompt queue until easier pose families are covered.
Sixty-Nine / Close Reversed POV
pov_sixty_nine_close_reversed_oral is currently the hardest and low-priority
atlas route. It should be treated as a pose/control image or image-guided route
first, not a normal prompt-only fixed-seed candidate.
The repeated atlas geometry is close and specific: the visible partner is reversed over the viewer, hips closest to the camera, head and torso receding away into the upper frame, and the viewer face or mouth anchoring the lower foreground. Text-only prompting can collapse this into generic oral contact or lose the reversed-over-viewer body arrangement.
Style
Style should describe rendering, not camera mechanics.
Use style presets to choose between:
- natural photo,
- creator/social-media photo,
- documentary/direct-flash photo,
- cinematic realism,
- illustration/comic.
If a controlled camera is active, avoid style suffixes that imply a conflicting
camera such as phone photo or handheld selfie.
Guide Update Format
When adding a new rule, include:
- observed prompt,
- observed image failure,
- edited prompt wording,
- image improvement or regression,
- generator path if known,
- final rule.