ComfyUI-Ethanfel-Prompt-Builder/ab_batches/atlas_refine_baseline_deck_analysis.md

Atlas Refine Baseline Deck Analysis

Date: 2026-07-01

Folder: /media/unraid/comfyui/output/CodexMCP-Atlas-Refine

Subject id: atlas_refine_same_woman_001

Folder State

The folder contains 16 complete .png / .txt atlas prompt pairs.

Coverage report:

• 10 clean baseline_only entries
• 6 needs_prompt_cleanup entries
• 0 sidecar prompt variants
• 0 seedable catalog cue candidates
• 0 missing image/text pairs

The deck is useful as a controlled same-woman baseline set, not yet as a seed/cue system. Reviewed sidecar variants still need to be authored from actual prompt/image evidence.

Prompt Cleanup Queue

These baseline prompts still contain positive-channel negative wording through without and should be rewritten before visual scoring or seed promotion:

• pov_cowgirl_alt_low_squat_penetration
• pov_cowgirl_frontal_straddle_penetration
• pov_ejaculation_aftermath_open_thigh_candidate
• pov_handjob_upright_centered
• pov_reverse_cowgirl_alt_upright_back_facing_penetration
• pov_reverse_cowgirl_back_facing_penetration

Visual Deck Read

The deck is strong for same-subject comparison:

• the woman identity is stable across poses;
• the coworking lounge style is consistent;
• desk rows, laptops, chair wheels, plants, glass partitions, and warm window depth are repeated enough to support workspace-continuity scoring;
• most poses place the action as the primary foreground subject.

Current limitations:

• all entries are single baseline images, so they do not test seedable alternatives yet;
• several prompts still use cleanup-needed wording;
• clothing/control is not represented across most poses;
• workspace interaction is mostly background context, not varied physical use of the lounge furniture;
• exact top-view oral remains weak under text-only prompting even after the second MCP batch.

Next Evidence Priorities

1. Clean the six without prompts before using them for cue seeds.
2. Build prompt-variant sidecars only from tested cues, not invented wording.
3. For each pose family, collect same-subject fixed-seed variants before touching generator defaults.
4. Score scene/pose height from background cues: floor plane, desk height, chair wheels, table bases, and whether the viewer/partner appears standing, seated, kneeling, reclined, or supported by furniture.
5. Keep clothing restore as woman-owned visible detail, and only for garments that the pose crop can actually show.