# Character Anchor Trial Plan ## Status - Document status: pending review. - Execution status: planning only; do not generate images from this file. - Scope: character anchor trial for `在路上`. - Next gated action after approval: rebuild the character anchor prompt through the `gpt-image-2` Skill workflow. ## Why This Plan Exists The current character work has two separate goals: 1. deliver the character anchor assets needed by this MV project; 2. validate which parts of the character-anchor workflow should become reusable Video Workbench knowledge later. These goals must stay separate. Project-specific execution should not be mistaken for public workflow rules, and public workflow candidates should not be promoted before they have been tested through real image generation and review. ## Current Issue `character-anchor-board-v1.md` is a useful content draft, but it is not generation-ready. Problems: 1. It was drafted directly from project summaries and intake notes instead of the `gpt-image-2` Skill workflow. 2. It does not record Skill mode, template/reference path, or source files actually used. 3. It does not clearly separate image-model responsibilities from later document/page annotation responsibilities. 4. It does not include the user's source photo as an explicit identity reference input. 5. It compresses character-board, transparent-slice, and later execution-asset work into one document. Therefore, it should be treated only as a non-generation-ready draft and rebuilt before any image generation. ## Source Reliability Assessment ### Primary Sources These are the most reliable project sources for character-anchor work: | Source | Role | Reliability | | --- | --- | --- | | `intake/阶段四-人物锚点板策划说明.md` | Defines why a character board is needed, background strategy, output types, and review priorities. | High as accepted GPT planning; still requires Codex execution judgment. | | `intake/阶段四-人物锚点板页面结构建议稿.md` | Defines page structure, layout modules, labels, and review focus. | High for board structure; must be adapted for image-model limits. | | `intake/阶段四-人物锚点板文案标注稿.md` | Explains why labels matter and which identity features should be stabilized. | High for review logic; image text must be handled carefully. | | User source photo, once provided/readable | Identity reference for face direction and lived-person basis. | High for identity direction; not an edit target and not a passport-photo style target. | ### Execution Control Sources These files are useful but secondary: | Source | Role | Reliability | | --- | --- | --- | | `visual-system/visual-system.md` | Condensed accepted visual system and materialization targets. | Reliable summary, but not a substitute for primary intake. | | `execution-plan.md` | Current phase, batch order, and gate sequence. | Reliable for sequencing, not for detailed prompt construction. | | `project.md` | Project state and next action. | Reliable for status only. | ### Skill / Workflow Sources These govern prompt production: | Source | Role | Reliability | | --- | --- | --- | | `gpt-image-2` Skill `SKILL.md` | Required mode-aware workflow for image prompts and generation. | Required workflow source. | | `gpt-image-2/references/prompt-writing.md` | Template design method: fields, source mapping, parameter strategy. | Required when building structured prompt documents. | | `gpt-image-2/references/portraits-and-characters/character-sheet.md` | Closest current template for character board / three-view sheet. | Useful but not perfect; must be adapted from anime/IP defaults to documentary road-film character reference. | | `investigations/2026-06-23-gpt-image-2-advisor-prompt-quality-v2-broader-use-cases/提示词质量综合调研报告.md` | Evidence that Advisor prompts outperform direct prompts for Video Workbench prompt quality. | Strong process evidence; final image quality still unverified. | ## Assessment Of GPT Character Drafts The three GPT character files are directionally sound but should not be treated as final execution. ### What Looks Reasonable - Use a shallow gray-white or light warm-gray clean background for the main board. - Create a board for identity consistency, not a finished MV shot. - Prioritize front / side / back full-body views. - Include half-body state, walking side, and walking back to test motion identity. - Track old coat, old backpack, and old boots as core recognition anchors. - Review the balance between tiredness and dignity. - Avoid fashion model, homeless, drunk, hero-poster, and travel-blogger drift. ### What Needs Adaptation - GPT assumes text labels can be part of the board; image models may create unreliable or fake text. - GPT mixes main board and transparent slices; these should be separate gated steps. - GPT gives a human-readable board plan, not a `gpt-image-2` Advisor prompt. - GPT does not define the source photo role. - GPT does not separate project-specific identity from reusable character-anchor workflow. ## Should We Extract The GPT Drafts? Yes, but into two different layers. ### Layer 1: Project Execution Extraction Extract what this project needs: - traveler identity; - board layout; - view list; - clothing / prop anchors; - allowed and forbidden drift; - source-photo role; - review checklist; - generation gate sequence. This becomes the basis for the rebuilt project prompt. ### Layer 2: Public Workflow Candidate Extraction Extract what might become reusable later: - character anchor purpose definition; - source hierarchy; - standard deliverables; - prompt workflow; - text-label handling rule; - review rubric; - gate sequence. This layer remains a candidate until validated by this trial. ## Project-Specific Character Work Package The current project should perform the following work, one gated step at a time. ### Step 1: Trial Plan Output: - `visual-system/characters/character-anchor-trial-plan.md` Purpose: - decide what is being validated; - separate project work from reusable workflow candidates; - identify source reliability and prompt-production rules. Gate: - user review. ### Step 2: Character Execution Brief Output: - `visual-system/characters/character-anchor-brief-v1.md` Purpose: - extract the accepted character definition from primary intake sources; - record source-photo role; - define required views and objects; - define review criteria before prompt writing. Gate: - user review. ### Step 3: Skill-Based Prompt Document Output: - `visual-system/characters/character-anchor-prompt-v1.md` Purpose: - run and record the `gpt-image-2` mode check; - record template/reference files used; - map source material into a structured Advisor prompt; - separate image-model output from later annotation/document responsibilities; - include negative constraints and acceptance criteria. Gate: - user review before generation. ### Step 4: Main Character Anchor Board Generation Output: - first generated main board image; - prompt trace if required by the active Skill mode; - `visual-system/characters/character-anchor-review-v1.md` Purpose: - test whether a single board can lock the character consistently enough. Gate: - user review before any transparent slices. ### Step 5: Transparent Character Slices Output candidates: - front full body; - side full body; - back full body; - walking side; - walking back. Purpose: - create execution references for later shot prompts or compositing reference. Gate: - only after main board is accepted. ### Step 6: Character Identity Lock Output: - `visual-system/characters/character-identity-lock.md` Purpose: - record the accepted stable identity features after image review; - provide a compact reference for style anchor and five-shot prompt work. Gate: - only after at least one board or slice set is accepted. ## Candidate Reusable Character-Anchor Structure These items are candidates for future Video Workbench knowledge, but should not be promoted until this project validates them. ### Candidate Standard Deliverables 1. `character-anchor-trial-plan.md` 2. `character-anchor-brief-v1.md` 3. `character-anchor-prompt-v1.md` 4. generated main board image 5. `character-anchor-review-v1.md` 6. transparent slices, when needed 7. `character-identity-lock.md` ### Candidate Source Hierarchy 1. user-provided source/reference images; 2. accepted GPT intake files; 3. project-local visual-system summary; 4. project-local execution plan; 5. prior generated assets and review records. ### Candidate Review Rubric 1. same-person consistency across front / side / back; 2. back-view recognition without face; 3. walking state naturalness; 4. identity stability when scaled down; 5. clothing and prop stability; 6. balance between expressive character and non-portrait role; 7. project-specific drift avoidance; 8. usefulness for later shot prompts. ### Candidate Text Responsibility Rule For image generation, avoid relying on generated readable labels as the source of truth. Preferred split: - image model: visual board, views, silhouettes, clothing, props, empty label zones if useful; - project document: exact labels, review criteria, identity-lock fields; - later page/layout layer: any final readable Chinese labels if required. ### Candidate Gate Sequence 1. trial plan; 2. execution brief; 3. Skill-based prompt; 4. main board generation; 5. review and repair; 6. transparent slices; 7. identity lock; 8. use in shot tests. ## Trial Validation Questions This project should answer these questions before any rule becomes public knowledge. 1. Can the three GPT character files be reliably transformed into a concise project execution brief? 2. Does the `gpt-image-2` Advisor workflow produce a better prompt than direct drafting for this character board? 3. Can one generated board maintain same-person consistency across front / side / back / walking views? 4. Does the user's source photo help establish identity without turning the output into a portrait or passport-photo derivative? 5. Are image-model text labels usable, or should all exact labels be handled outside the generated image? 6. Does the accepted main board actually improve later five-shot test prompts? 7. Which review criteria are general enough for future projects, and which are only specific to `在路上`? ## Do Not Promote Yet The following should not be added to stable knowledge yet: - a final character-anchor directory standard; - a mandatory fixed board layout; - a universal prompt template; - a universal source-photo policy; - a claim that text labels should or should not be generated inside the image; - a claim that one board is enough before transparent slices. These can be considered only after this trial has produced and reviewed real images. ## Immediate Next Step After this plan is approved, create: ```text visual-system/characters/character-anchor-brief-v1.md ``` That brief should use the three GPT character intake files as primary sources, include the source-photo role, and prepare the material for a `gpt-image-2` Skill-based prompt document.