chore: release v1.19.0

This commit is contained in:
Jim Liu 宝玉
2026-01-24 01:24:41 -06:00
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},
"metadata": {
"description": "Skills shared by Baoyu for improving daily work efficiency",
"version": "1.18.3"
"version": "1.19.0"
},
"plugins": [
{
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English | [中文](./CHANGELOG.zh.md)
## 1.19.0 - 2026-01-24
### Features
- `baoyu-comic`: adds partial workflow options—`--storyboard-only`, `--prompts-only`, `--images-only`, and `--regenerate N` for flexible workflow control.
- `baoyu-image-gen`: adds `--imageSize` parameter for Google providers (1K/2K/4K), changes default quality to 2k.
- `baoyu-image-gen`: adds `GEMINI_API_KEY` as alias for `GOOGLE_API_KEY`.
### Refactor
- `baoyu-comic`: extracts detailed workflow to `references/workflow.md`, reduces SKILL.md by ~400 lines while preserving functionality.
- `baoyu-comic`: extracts content signal analysis to `references/auto-selection.md` and partial workflow docs to `references/partial-workflows.md`.
- `baoyu-image-gen`: modularizes code—extracts types to `types.ts`, provider implementations to `providers/google.ts` and `providers/openai.ts`.
### Documentation
- `baoyu-comic`: improves ohmsha preset documentation with explicit default Doraemon character definitions and visual descriptions.
## 1.18.3 - 2026-01-23
### Documentation
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[English](./CHANGELOG.md) | 中文
## 1.19.0 - 2026-01-24
### 新功能
- `baoyu-comic`:新增部分工作流选项——`--storyboard-only``--prompts-only``--images-only``--regenerate N`,实现灵活的工作流控制。
- `baoyu-image-gen`:新增 `--imageSize` 参数用于 Google 提供商(1K/2K/4K),默认质量改为 2k。
- `baoyu-image-gen`:新增 `GEMINI_API_KEY` 作为 `GOOGLE_API_KEY` 的别名。
### 重构
- `baoyu-comic`:将详细工作流提取至 `references/workflow.md`SKILL.md 减少约 400 行,功能完整保留。
- `baoyu-comic`:将内容信号分析提取至 `references/auto-selection.md`,部分工作流文档提取至 `references/partial-workflows.md`
- `baoyu-image-gen`:代码模块化——类型定义提取至 `types.ts`provider 实现提取至 `providers/google.ts``providers/openai.ts`
### 文档
- `baoyu-comic`:改进 ohmsha 预设文档,明确默认哆啦A梦角色定义和视觉描述。
## 1.18.3 - 2026-01-23
### 文档
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| `--aspect` | 3:4 (default, portrait), 4:3 (landscape), 16:9 (widescreen) | Page aspect ratio |
| `--lang` | auto (default), zh, en, ja, etc. | Output language |
### Partial Workflow Options
| Option | Description |
|--------|-------------|
| `--storyboard-only` | Generate storyboard only, skip prompts and images |
| `--prompts-only` | Generate storyboard + prompts, skip images |
| `--images-only` | Generate images from existing prompts directory |
| `--regenerate N` | Regenerate specific page(s) only (e.g., `3` or `2,5,8`) |
Details: [references/partial-workflows.md](references/partial-workflows.md)
### Art Styles (画风)
| Style | 中文 | Description |
@@ -69,27 +80,25 @@ Presets with special rules beyond art+tone:
| ink-brush | neutral, dramatic, action, vintage | warm | romantic, energetic |
| chalk | neutral, warm, energetic | vintage | dramatic, action, romantic |
Art Style × Tone × Layout can be freely combined. Incompatible combinations work but may produce unexpected results.
Details: [references/auto-selection.md](references/auto-selection.md)
## Auto Selection
Content signals determine default art + tone + layout (or preset):
| Content Signals | Art Style | Tone | Layout | Preset |
|-----------------|-----------|------|--------|--------|
| Tutorial, how-to, beginner | manga | neutral | webtoon | **ohmsha** |
| Computing, AI, programming | manga | neutral | dense | **ohmsha** |
| Technical explanation, educational | manga | neutral | webtoon | **ohmsha** |
| Pre-1950, classical, ancient | realistic | vintage | cinematic | - |
| Personal story, mentor | ligne-claire | warm | standard | - |
| Conflict, breakthrough | (inherit) | dramatic | splash | - |
| Wine, food, business, lifestyle | realistic | neutral | cinematic | - |
| Martial arts, wuxia, xianxia | ink-brush | action | splash | **wuxia** |
| Romance, love, school life | manga | romantic | standard | **shoujo** |
| Biography, balanced | ligne-claire | neutral | mixed | - |
| Content Signals | Recommended |
|-----------------|-------------|
| Tutorial, how-to, programming, educational | **ohmsha** preset |
| Pre-1950, classical, ancient | realistic + vintage |
| Personal story, mentor | ligne-claire + warm |
| Martial arts, wuxia | **wuxia** preset |
| Romance, school life | **shoujo** preset |
| Biography, balanced | ligne-claire + neutral |
**When preset is recommended**: Load `references/presets/{preset}.md` and apply all special rules.
Details: [references/auto-selection.md](references/auto-selection.md)
## Script Directory
**Important**: All scripts are located in the `scripts/` subdirectory of this skill.
@@ -111,409 +120,147 @@ Output directory: `comic/{topic-slug}/`
- Conflict: append timestamp (e.g., `turing-story-20260118-143052`)
**Contents**:
- `source-{slug}.{ext}` - Source files
- `analysis.md` - Content analysis
- `storyboard.md` - Storyboard with panel breakdown
- `characters/characters.md` - Character definitions
- `characters/characters.png` - Character reference sheet
- `prompts/NN-{cover|page}-[slug].md` - Generation prompts
- `NN-{cover|page}-[slug].png` - Generated images
- `{topic-slug}.pdf` - Final merged PDF
| File | Description |
|------|-------------|
| `source-{slug}.{ext}` | Source files |
| `analysis.md` | Content analysis |
| `storyboard.md` | Storyboard with panel breakdown |
| `characters/characters.md` | Character definitions |
| `characters/characters.png` | Character reference sheet |
| `prompts/NN-{cover\|page}-[slug].md` | Generation prompts |
| `NN-{cover\|page}-[slug].png` | Generated images |
| `{topic-slug}.pdf` | Final merged PDF |
## Language Handling
**Detection Priority**:
1. `--lang` flag (explicit)
2. EXTEND.md `language` setting
3. User's conversation language
4. Source content language
**Rule**: Use user's input language or saved language preference for ALL interactions:
- Storyboard outlines and scene descriptions
- Image generation prompts
- User selection options and confirmations
- Progress updates, questions, errors, summaries
Technical terms remain in English.
## Workflow
### Progress Checklist
Copy and track progress:
```
Comic Progress:
- [ ] Step 1: Load preferences + Analyze content
- [ ] Step 2: Confirmation 1 - Style & options ⚠️ REQUIRED
- [ ] Step 1: Setup & Analyze (1.1 Preferences, 1.2 Analyze, 1.3 Check existing)
- [ ] Step 2: Confirmation - Style & options ⚠️ REQUIRED
- [ ] Step 3: Generate storyboard + characters
- [ ] Step 4: Confirmation 2 - Review outline (if requested)
- [ ] Step 5: Generate images (sequential)
- [ ] Step 6: Merge to PDF
- [ ] Step 7: Completion report
- [ ] Step 4: Review outline (conditional)
- [ ] Step 5: Generate prompts
- [ ] Step 6: Review prompts (conditional)
- [ ] Step 7: Generate images ⚠️ CHARACTER REF REQUIRED
- [ ] 7.1 Generate character sheet FIRST → characters/characters.png
- [ ] 7.2 Generate pages WITH --ref characters/characters.png
- [ ] Step 8: Merge to PDF
- [ ] Step 9: Completion report
```
### Flow
```
Input → Preferences → Analyze → [Confirm 1: Style + Skip?] → Storyboard → [Confirm 2: if needed] → Generate → PDF → Complete
Input → Preferences → Analyze → [Check Existing?] → [Confirm: Style + Reviews] → Storyboard → [Review?] → Prompts → [Review?] → Images → PDF → Complete
```
### Step 1: Setup & Analyze
### Step Summary
**1.1 Load Preferences (EXTEND.md)**
| Step | Action | Key Output |
|------|--------|------------|
| 1.1 | Load EXTEND.md preferences | Config loaded |
| 1.2 | Analyze content | `analysis.md` |
| 1.3 | Check existing directory | Handle conflicts |
| 2 | Confirm style, focus, audience, reviews | User preferences |
| 3 | Generate storyboard + characters | `storyboard.md`, `characters/` |
| 4 | Review outline (if requested) | User approval |
| 5 | Generate prompts | `prompts/*.md` |
| 6 | Review prompts (if requested) | User approval |
| **7.1** | **Generate character sheet FIRST** | `characters/characters.png` |
| **7.2** | Generate pages **with character ref** | `*.png` files |
| 8 | Merge to PDF | `{slug}.pdf` |
| 9 | Completion report | Summary |
Use Bash to check EXTEND.md existence (priority order):
### Step 7: Image Generation ⚠️ CRITICAL
**Character reference is MANDATORY for visual consistency.**
**7.1 Generate character sheet first**:
```bash
# Use Reference Sheet Prompt from characters/characters.md
npx -y bun ${SKILL_DIR}/../baoyu-image-gen/scripts/main.ts \
--promptfiles characters/characters.md \
--image characters/characters.png --ar 4:3
```
**7.2 Generate each page WITH character reference**:
| Skill Capability | Strategy |
|------------------|----------|
| Supports `--ref` | Pass `characters/characters.png` with EVERY page |
| No `--ref` support | Prepend character descriptions to EVERY prompt file |
```bash
# Check project-level first
test -f .baoyu-skills/baoyu-comic/EXTEND.md && echo "project"
# Then user-level (cross-platform: $HOME works on macOS/Linux/WSL)
test -f "$HOME/.baoyu-skills/baoyu-comic/EXTEND.md" && echo "user"
```
┌──────────────────────────────────────────────┬───────────────────┐
│ Path │ Location │
├──────────────────────────────────────────────┼───────────────────┤
│ .baoyu-skills/baoyu-comic/EXTEND.md │ Project directory │
├──────────────────────────────────────────────┼───────────────────┤
│ $HOME/.baoyu-skills/baoyu-comic/EXTEND.md │ User home │
└──────────────────────────────────────────────┴───────────────────┘
**When EXTEND.md Found** → Read, parse, **output summary to user**:
```
📋 Loaded preferences from [full path]
├─ Watermark: [enabled/disabled] [content if enabled]
├─ Art Style: [style name or "auto-select"]
├─ Tone: [tone name or "auto-select"]
├─ Layout: [layout or "auto-select"]
├─ Language: [language or "auto-detect"]
└─ Character presets: [count] defined
```
**MUST output this summary** so user knows their current configuration. Do not skip or silently load.
**When EXTEND.md Not Found** → First-time setup:
1. Inform user: "No preferences found. Let's set up your defaults."
2. Use AskUserQuestion to collect preferences (see `references/config/first-time-setup.md`)
3. Create EXTEND.md at user-chosen location
4. Confirm: "✓ Preferences saved to [path]"
**EXTEND.md Supports**: Watermark | Preferred art/tone/layout | Custom style definitions | Character presets | Language preference
Schema: `references/config/preferences-schema.md`
**Important**: Once EXTEND.md exists, watermark, language, and style defaults are NOT asked again in Confirmation 1 or 2. These are session-persistent settings.
**1.2 Analyze Content → `analysis.md`**
Read source content, save it if needed, and perform deep analysis.
**Actions**:
1. **Save source content** (if not already a file):
- If user provides a file path: use as-is
- If user pastes content: save to `source.md` in target directory
2. Read source content
3. **Deep analysis** following `references/analysis-framework.md`:
- Target audience identification
- Value proposition for readers
- Core themes and narrative potential
- Key figures and their story arcs
4. Detect source language
5. **Determine language**:
- If EXTEND.md has `language` → use it
- Else if `--lang` option provided → use it
- Else → use detected source language
6. Determine recommended page count:
- Short story: 5-8 pages
- Medium complexity: 9-15 pages
- Full biography: 16-25 pages
7. Analyze content signals for art/tone/layout recommendations
8. **Save to `analysis.md`**
**analysis.md Format**: YAML front matter (title, topic, time_span, source_language, user_language, aspect_ratio, recommended_page_count, recommended_art, recommended_tone) + sections for Target Audience, Value Proposition, Core Themes, Key Figures & Story Arcs, Content Signals, Recommended Approaches. See `references/analysis-framework.md` for full template.
### Step 2: Confirmation 1 - Style & Options ⚠️
**Purpose**: Select visual style + decide whether to review outline before generation. **Do NOT skip.**
**Note**: Watermark and language already configured in EXTEND.md (Step 1).
**Display summary**:
- Content type + topic identified
- Key figures extracted
- Time span detected
- Recommended page count
- Language: [from EXTEND.md or detected]
- **Recommended style**: [art] + [tone] (based on content signals)
**Use AskUserQuestion** for:
**Question 1: Visual Style**
If a preset is recommended (see Auto Selection), show it first:
```
header: "Style"
question: "Which visual style for this comic?"
options:
- label: "[preset name] preset (Recommended)" # If preset recommended
description: "[preset description] - includes special rules"
- label: "[recommended art] + [recommended tone] (Recommended)" # If no preset
description: "Best match for your content based on analysis"
- label: "ligne-claire + neutral"
description: "Classic educational, Logicomix style"
- label: "ohmsha preset"
description: "Educational manga with visual metaphors, gadgets, NO talking heads"
- label: "Custom"
description: "Specify your own art + tone or preset"
```
**Preset vs Art+Tone**: Presets include special rules beyond art+tone. `ohmsha` = manga + neutral + visual metaphor rules + character roles + NO talking heads. Plain `manga + neutral` does NOT include these rules.
**Question 2: Narrative Focus** (multiSelect: true)
```
header: "Focus"
question: "What should the comic emphasize? (Select all that apply)"
options:
- label: "Biography/life story"
description: "Follow a person's journey through key life events"
- label: "Concept explanation"
description: "Break down complex ideas visually"
- label: "Historical event"
description: "Dramatize important historical moments"
- label: "Tutorial/how-to"
description: "Step-by-step educational guide"
```
**Question 3: Target Audience**
```
header: "Audience"
question: "Who is the primary reader?"
options:
- label: "General readers"
description: "Broad appeal, accessible content"
- label: "Students/learners"
description: "Educational focus, clear explanations"
- label: "Industry professionals"
description: "Technical depth, domain knowledge"
- label: "Children/young readers"
description: "Simplified language, engaging visuals"
```
**Question 4: Outline Review**
```
header: "Review"
question: "Do you want to review the outline before image generation?"
options:
- label: "Yes, let me review (Recommended)"
description: "Review storyboard and characters before generating images"
- label: "No, generate directly"
description: "Skip outline review, start generating immediately"
```
**After response**:
1. Update `analysis.md` with user preferences
2. **Store `skip_outline_review`** flag based on Question 4 response
3. → Step 3
### Step 3: Generate Storyboard + Characters
Create storyboard and character definitions using the confirmed style from Step 2.
**Loading Style References**:
- Art style: `references/art-styles/{art}.md`
- Tone: `references/tones/{tone}.md`
- If preset (ohmsha/wuxia/shoujo): also load `references/presets/{preset}.md`
**Generate**:
1. **Storyboard** (`storyboard.md`):
- YAML front matter with art_style, tone, layout, aspect_ratio
- Cover design
- Each page: layout, panel breakdown, visual prompts
- **Written in user's preferred language** (from Step 1)
- Reference: `references/storyboard-template.md`
- **If using preset**: Load and apply preset rules from `references/presets/`
2. **Character definitions** (`characters/characters.md`):
- Visual specs matching the art style (in user's preferred language)
- Include Reference Sheet Prompt for later image generation
- Reference: `references/character-template.md`
**After generation**:
- If `skip_outline_review` is true → Skip Step 4, go directly to Step 5
- If `skip_outline_review` is false → Continue to Step 4
### Step 4: Confirmation 2 - Review Outline (Conditional)
**Skip this step** if user selected "No, generate directly" in Step 2.
**Purpose**: User reviews and confirms storyboard + characters before generation.
**Display**:
- Page count and structure
- Art style + Tone combination
- Page-by-page summary (Cover → P1 → P2...)
- Character list with brief descriptions
**Use AskUserQuestion**:
```
header: "Confirm"
question: "Ready to generate images with this outline?"
options:
- label: "Yes, proceed (Recommended)"
description: "Generate character sheet and comic pages"
- label: "Edit storyboard first"
description: "I'll modify storyboard.md before continuing"
- label: "Edit characters first"
description: "I'll modify characters/characters.md before continuing"
- label: "Edit both"
description: "I'll modify both files before continuing"
```
**After response**:
1. If user wants to edit → Wait for user to finish editing, then ask again
2. If user confirms → Continue to Step 5
### Step 5: Generate Images
With confirmed storyboard + art style + tone + aspect ratio:
**Style Reference Loading**:
- Read `references/art-styles/{art}.md` for rendering guidelines
- Read `references/tones/{tone}.md` for mood/color adjustments
- If preset: Read `references/presets/{preset}.md` for special rules
**5.1 Generate Character Reference Sheet** (first):
1. Use Reference Sheet Prompt from `characters/characters.md`
2. Generate → `characters/characters.png`
3. This ensures visual consistency for all subsequent pages
**5.2 Generate Comic Pages**:
**CRITICAL: Character Reference is MANDATORY** for visual consistency across all pages.
**Before generating any page**:
1. Read the image generation skill's SKILL.md
2. Check if it supports reference image input (`--ref`, `--reference`, etc.)
3. Choose the appropriate strategy below
**Character Reference Strategy**:
| Skill Capability | Strategy | Action |
|------------------|----------|--------|
| Supports `--ref` | **Strategy A** | Pass `characters/characters.png` with EVERY page |
| Does NOT support `--ref` | **Strategy B** | Prepend character descriptions to EVERY prompt |
**Strategy A: Using `--ref` parameter** (e.g., baoyu-image-gen)
```bash
# Each page generation MUST include --ref
# Example: ALWAYS include --ref for consistency
npx -y bun ${SKILL_DIR}/../baoyu-image-gen/scripts/main.ts \
--promptfiles prompts/01-page-xxx.md \
--image 01-page-xxx.png \
--ar 3:4 \
--image 01-page-xxx.png --ar 3:4 \
--ref characters/characters.png
```
**Strategy B: Embedding character descriptions in prompt**
**Full workflow details**: [references/workflow.md](references/workflow.md)
When skill does NOT support reference images, create combined prompt files:
### EXTEND.md Paths
```markdown
# prompts/01-page-xxx.md (with embedded character reference)
| Path | Location |
|------|----------|
| `.baoyu-skills/baoyu-comic/EXTEND.md` | Project directory |
| `$HOME/.baoyu-skills/baoyu-comic/EXTEND.md` | User home |
## Character Reference (maintain consistency)
[Copy relevant sections from characters/characters.md here]
- 大雄: Japanese boy, round glasses, yellow shirt, navy shorts...
- 哆啦A梦: Round blue robot cat, white belly, red nose, golden bell...
**EXTEND.md Supports**: Watermark | Preferred art/tone/layout | Custom style definitions | Character presets | Language preference
## Page Content
[Original page prompt here]
```
**For each page (cover + pages)**:
1. Save prompt to `prompts/NN-{cover|page}-[slug].md`
2. Generate image using Strategy A or B (based on skill capability)
3. Report progress after each generation
**Watermark Application** (if enabled in preferences):
Add to each image generation prompt:
```
Include a subtle watermark "[content]" positioned at [position]
with approximately [opacity*100]% visibility. The watermark should
be legible but not distracting from the comic panels and storytelling.
Ensure watermark does not overlap speech bubbles or key action.
```
Reference: `references/config/watermark-guide.md`
**Session Management**:
If image generation skill supports `--sessionId`:
1. Generate unique session ID: `comic-{topic-slug}-{timestamp}`
2. Use same session ID for all pages
3. Ensures visual consistency across generated images
### Step 6: Merge to PDF
After all images generated:
```bash
npx -y bun ${SKILL_DIR}/scripts/merge-to-pdf.ts <comic-dir>
```
Creates `{topic-slug}.pdf` with all pages as full-page images.
### Step 7: Completion Report
```
Comic Complete!
Title: [title] | Art: [art] | Tone: [tone] | Pages: [count] | Aspect: [ratio] | Language: [lang]
Watermark: [enabled/disabled]
Location: [path]
✓ analysis.md
✓ characters.png
✓ 00-cover-[slug].png ... NN-page-[slug].png
✓ {topic-slug}.pdf
```
## Page Modification
| Action | Steps |
|--------|-------|
| **Edit** | Update prompt → Regenerate image → Regenerate PDF |
| **Add** | Create prompt at position → Generate image → Renumber subsequent (NN+1) → Update storyboard → Regenerate PDF |
| **Delete** | Remove files → Renumber subsequent (NN-1) → Update storyboard → Regenerate PDF |
**File naming**: `NN-{cover|page}-[slug].png` (e.g., `03-page-enigma-machine.png`)
- Slugs: kebab-case, unique, derived from content
- Renumbering: Update NN prefix only, slugs unchanged
## Preset: Ohmsha
Default: Use Doraemon characters (大雄=learner, 哆啦A梦=mentor, 胖虎=challenge, 静香=support). Custom characters via `--characters "Student:小明,Mentor:教授"` or character presets in EXTEND.md.
Requirements: Visual metaphors, NO talking heads, narrative page titles.
See `references/presets/ohmsha.md` and `references/ohmsha-guide.md` for details.
Schema: [references/config/preferences-schema.md](references/config/preferences-schema.md)
## References
Detailed templates and guidelines in `references/` directory:
**Core Templates**:
- `analysis-framework.md` - Deep content analysis for comic adaptation
- `character-template.md` - Character definition format and examples
- `storyboard-template.md` - Storyboard structure and panel breakdown
- `ohmsha-guide.md` - Ohmsha manga style specifics
- [analysis-framework.md](references/analysis-framework.md) - Deep content analysis
- [character-template.md](references/character-template.md) - Character definition format
- [storyboard-template.md](references/storyboard-template.md) - Storyboard structure
- [ohmsha-guide.md](references/ohmsha-guide.md) - Ohmsha manga specifics
**Style Definitions** (new 3-dimension system):
- `art-styles/` - Art style definitions (ligne-claire, manga, realistic, ink-brush, chalk)
- `tones/` - Tone definitions (neutral, warm, dramatic, romantic, energetic, vintage, action)
- `presets/` - Preset shortcuts with special rules (ohmsha, wuxia, shoujo)
- `layouts/` - Layout definitions (standard, cinematic, dense, splash, mixed, webtoon)
**Style Definitions**:
- `references/art-styles/` - Art styles (ligne-claire, manga, realistic, ink-brush, chalk)
- `references/tones/` - Tones (neutral, warm, dramatic, romantic, energetic, vintage, action)
- `references/presets/` - Presets with special rules (ohmsha, wuxia, shoujo)
- `references/layouts/` - Layouts (standard, cinematic, dense, splash, mixed, webtoon)
**Workflow**:
- [workflow.md](references/workflow.md) - Full workflow details
- [auto-selection.md](references/auto-selection.md) - Content signal analysis
- [partial-workflows.md](references/partial-workflows.md) - Partial workflow options
**Config**:
- `config/preferences-schema.md` - EXTEND.md schema
- `config/first-time-setup.md` - First-time setup flow
- `config/watermark-guide.md` - Watermark configuration
- [config/preferences-schema.md](references/config/preferences-schema.md) - EXTEND.md schema
- [config/first-time-setup.md](references/config/first-time-setup.md) - First-time setup
- [config/watermark-guide.md](references/config/watermark-guide.md) - Watermark configuration
## Notes
- Auto-retry once on failure | Cartoon alternatives for sensitive figures
- Use confirmed language preference | Maintain style consistency
- **Step 2 confirmation required** - do not skip (style selection + outline review option)
- **Step 4 conditional** - only if user requested outline review in Step 2
- Watermark/language configured once in EXTEND.md, not asked in confirmations
## Extension Support
Custom configurations via EXTEND.md. See **Step 1.1** for paths and supported options.
- Image generation: 10-30 seconds per page
- Auto-retry once on generation failure
- Use stylized alternatives for sensitive public figures
- Maintain style consistency via session ID
- **Step 2 confirmation required** - do not skip
- **Steps 4/6 conditional** - only if user requested in Step 2
- **Step 7.1 character sheet MUST be generated before pages** - ensures consistency
- **Step 7.2 EVERY page MUST reference characters** - use `--ref` or embed descriptions
- Watermark/language configured once in EXTEND.md
@@ -0,0 +1,58 @@
# Auto Selection
Content signals determine default art + tone + layout (or preset).
## Content Signal Matrix
| Content Signals | Art Style | Tone | Layout | Preset |
|-----------------|-----------|------|--------|--------|
| Tutorial, how-to, beginner | manga | neutral | webtoon | **ohmsha** |
| Computing, AI, programming | manga | neutral | dense | **ohmsha** |
| Technical explanation, educational | manga | neutral | webtoon | **ohmsha** |
| Pre-1950, classical, ancient | realistic | vintage | cinematic | - |
| Personal story, mentor | ligne-claire | warm | standard | - |
| Conflict, breakthrough | (inherit) | dramatic | splash | - |
| Wine, food, business, lifestyle | realistic | neutral | cinematic | - |
| Martial arts, wuxia, xianxia | ink-brush | action | splash | **wuxia** |
| Romance, love, school life | manga | romantic | standard | **shoujo** |
| Biography, balanced | ligne-claire | neutral | mixed | - |
## Preset Recommendation Rules
**When preset is recommended**: Load `presets/{preset}.md` and apply all special rules.
### ohmsha
- **Triggers**: Tutorial, technical, educational, computing, programming, how-to, beginner
- **Special rules**: Visual metaphors, NO talking heads, gadget reveals, Doraemon-style characters
- **Base**: manga + neutral + webtoon/dense
### wuxia
- **Triggers**: Martial arts, wuxia, xianxia, cultivation, swordplay
- **Special rules**: Qi effects, combat visuals, atmospheric elements
- **Base**: ink-brush + action + splash
### shoujo
- **Triggers**: Romance, love story, school life, emotional drama
- **Special rules**: Decorative elements, eye details, romantic beats
- **Base**: manga + romantic + standard
## Compatibility Matrix
Art Style × Tone combinations work best when matched appropriately:
| Art Style | ✓✓ Best | ✓ Works | ✗ Avoid |
|-----------|---------|---------|---------|
| ligne-claire | neutral, warm | dramatic, vintage, energetic | romantic, action |
| manga | neutral, romantic, energetic, action | warm, dramatic | vintage |
| realistic | neutral, warm, dramatic, vintage | action | romantic, energetic |
| ink-brush | neutral, dramatic, action, vintage | warm | romantic, energetic |
| chalk | neutral, warm, energetic | vintage | dramatic, action, romantic |
**Note**: Art Style × Tone × Layout can be freely combined. Incompatible combinations work but may produce unexpected results.
## Priority Order
1. User-specified options (`--art`, `--tone`, `--style`)
2. EXTEND.md defaults
3. Content signal analysis → auto-selection
4. Fallback: ligne-claire + neutral + standard
@@ -0,0 +1,123 @@
# Partial Workflows
Options to run specific parts of the workflow.
## Options Summary
| Option | Steps Executed | Output |
|--------|----------------|--------|
| `--storyboard-only` | 1-3 | `storyboard.md` + `characters/` |
| `--prompts-only` | 1-5 | + `prompts/*.md` |
| `--images-only` | 7-9 | + images + PDF |
| `--regenerate N` | 7 (partial) | Specific page(s) + PDF |
---
## Using `--storyboard-only`
Generate storyboard and characters without prompts or images:
```bash
/baoyu-comic content.md --storyboard-only
```
**Workflow**: Steps 1-3 only (stop after storyboard + characters)
**Output**:
- `analysis.md`
- `storyboard.md`
- `characters/characters.md`
**Use case**: Review and edit the storyboard before generating images. Useful for:
- Getting feedback on the narrative structure
- Making manual adjustments to panel layouts
- Defining custom characters
---
## Using `--prompts-only`
Generate storyboard, characters, and prompts without images:
```bash
/baoyu-comic content.md --prompts-only
```
**Workflow**: Steps 1-5 (generate prompts, skip images)
**Output**:
- `analysis.md`
- `storyboard.md`
- `characters/characters.md`
- `prompts/*.md`
**Use case**: Review and edit prompts before image generation. Useful for:
- Fine-tuning image generation prompts
- Ensuring visual consistency before committing to generation
- Making style adjustments at the prompt level
---
## Using `--images-only`
Generate images from existing prompts (starts at Step 7):
```bash
/baoyu-comic comic/topic-slug/ --images-only
```
**Workflow**: Skip to Step 7, then 8-9
**Prerequisites** (must exist in directory):
- `prompts/` directory with page prompt files
- `storyboard.md` with style information
- `characters/characters.md` with character definitions
**Output**:
- `characters/characters.png` (if not exists)
- `NN-{cover|page}-[slug].png` images
- `{topic-slug}.pdf`
**Use case**: Re-generate images after editing prompts. Useful for:
- Recovering from failed image generation
- Trying different image generation settings
- Regenerating after manual prompt edits
---
## Using `--regenerate`
Regenerate specific pages only:
```bash
# Single page
/baoyu-comic comic/topic-slug/ --regenerate 3
# Multiple pages
/baoyu-comic comic/topic-slug/ --regenerate 2,5,8
# Cover page
/baoyu-comic comic/topic-slug/ --regenerate 0
```
**Workflow**:
1. Read existing prompts for specified pages
2. Regenerate images only for those pages
3. Regenerate PDF
**Prerequisites** (must exist):
- `prompts/NN-{cover|page}-[slug].md` for specified pages
- `characters/characters.png` (for reference)
**Output**:
- Regenerated `NN-{cover|page}-[slug].png` for specified pages
- Updated `{topic-slug}.pdf`
**Use case**: Fix specific pages without regenerating entire comic. Useful for:
- Fixing a single problematic page
- Iterating on specific visuals
- Regenerating pages after prompt edits
**Page numbering**:
- `0` = Cover page
- `1-N` = Content pages
@@ -41,16 +41,18 @@ Every technical concept MUST be visualized as a metaphor:
### Character Roles (Required)
Define characters before generating:
**DEFAULT: Use Doraemon characters** unless user explicitly specifies `--characters` or has character presets in EXTEND.md.
| Role | Default | Traits |
|------|---------|--------|
| Student (Role A) | 大雄 | Confused, asks basic but crucial questions, represents reader |
| Mentor (Role B) | 哆啦A梦 | Knowledgeable, patient, uses gadgets as technical metaphors |
| Challenge (Role C, optional) | 胖虎 | Represents misunderstanding, or "noise" in the data |
| Support (Role D, optional) | 静香 | Asks clarifying questions, provides alternative perspectives |
| Role | Default Character | Visual | Traits |
|------|-------------------|--------|--------|
| Student (Role A) | 大雄 (Nobita) | Boy, 10yo, round glasses, black hair, yellow shirt, navy shorts | Confused, asks basic but crucial questions, represents reader |
| Mentor (Role B) | 哆啦A梦 (Doraemon) | Blue robot cat, white belly, 4D pocket, red nose, golden bell | Knowledgeable, patient, uses gadgets as technical metaphors |
| Challenge (Role C) | 胖虎 (Gian) | Stocky boy, small eyes, orange shirt | Represents misunderstanding, or "noise" in the data |
| Support (Role D) | 静香 (Shizuka) | Cute girl, black short hair, pink dress | Asks clarifying questions, provides alternative perspectives |
Custom characters via `--characters "Student:小明,Mentor:教授"` or EXTEND.md presets.
**IMPORTANT**: These Doraemon characters ARE the default for ohmsha preset. Generate character definitions using these exact characters unless user requests otherwise.
To use custom characters: `--characters "Student:小明,Mentor:教授"` or define in EXTEND.md.
### Page Title Convention
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@@ -0,0 +1,505 @@
# Complete Workflow
Full workflow for generating knowledge comics.
## Progress Checklist
Copy and track progress:
```
Comic Progress:
- [ ] Step 1: Setup & Analyze
- [ ] 1.1 Load preferences
- [ ] 1.2 Analyze content
- [ ] 1.3 Check existing ⚠️ REQUIRED
- [ ] Step 2: Confirmation 1 - Style & options ⚠️ REQUIRED
- [ ] Step 3: Generate storyboard + characters
- [ ] Step 4: Review outline (conditional)
- [ ] Step 5: Generate prompts
- [ ] Step 6: Review prompts (conditional)
- [ ] Step 7: Generate images
- [ ] Step 8: Merge to PDF
- [ ] Step 9: Completion report
```
## Flow Diagram
```
Input → Preferences → Analyze → [Check Existing?] → [Confirm 1: Style + Reviews] → Storyboard → [Review Outline?] → Prompts → [Review Prompts?] → Images → PDF → Complete
```
---
## Step 1: Setup & Analyze
### 1.1 Load Preferences (EXTEND.md)
Use Bash to check EXTEND.md existence (priority order):
```bash
# Check project-level first
test -f .baoyu-skills/baoyu-comic/EXTEND.md && echo "project"
# Then user-level (cross-platform: $HOME works on macOS/Linux/WSL)
test -f "$HOME/.baoyu-skills/baoyu-comic/EXTEND.md" && echo "user"
```
| Path | Location |
|------|----------|
| `.baoyu-skills/baoyu-comic/EXTEND.md` | Project directory |
| `$HOME/.baoyu-skills/baoyu-comic/EXTEND.md` | User home |
**When EXTEND.md Found** → Read, parse, **output summary to user**:
```
📋 Loaded preferences from [full path]
├─ Watermark: [enabled/disabled] [content if enabled]
├─ Art Style: [style name or "auto-select"]
├─ Tone: [tone name or "auto-select"]
├─ Layout: [layout or "auto-select"]
├─ Language: [language or "auto-detect"]
└─ Character presets: [count] defined
```
**MUST output this summary** so user knows their current configuration. Do not skip or silently load.
**When EXTEND.md Not Found** → First-time setup:
1. Inform user: "No preferences found. Let's set up your defaults."
2. Use AskUserQuestion to collect preferences (see `config/first-time-setup.md`)
3. Create EXTEND.md at user-chosen location
4. Confirm: "✓ Preferences saved to [path]"
**EXTEND.md Supports**: Watermark | Preferred art/tone/layout | Custom style definitions | Character presets | Language preference
Schema: `config/preferences-schema.md`
**Important**: Once EXTEND.md exists, watermark, language, and style defaults are NOT asked again in Confirmation 1 or 2. These are session-persistent settings.
### 1.2 Analyze Content → `analysis.md`
Read source content, save it if needed, and perform deep analysis.
**Actions**:
1. **Save source content** (if not already a file):
- If user provides a file path: use as-is
- If user pastes content: save to `source.md` in target directory
2. Read source content
3. **Deep analysis** following `analysis-framework.md`:
- Target audience identification
- Value proposition for readers
- Core themes and narrative potential
- Key figures and their story arcs
4. Detect source language
5. **Determine language**:
- If EXTEND.md has `language` → use it
- Else if `--lang` option provided → use it
- Else → use detected source language
6. Determine recommended page count:
- Short story: 5-8 pages
- Medium complexity: 9-15 pages
- Full biography: 16-25 pages
7. Analyze content signals for art/tone/layout recommendations
8. **Save to `analysis.md`**
**analysis.md Format**: YAML front matter (title, topic, time_span, source_language, user_language, aspect_ratio, recommended_page_count, recommended_art, recommended_tone) + sections for Target Audience, Value Proposition, Core Themes, Key Figures & Story Arcs, Content Signals, Recommended Approaches. See `analysis-framework.md` for full template.
### 1.3 Check Existing Content ⚠️ REQUIRED
**MUST execute before proceeding to Step 2.**
Use Bash to check if output directory exists:
```bash
test -d "comic/{topic-slug}" && echo "exists"
```
**If directory exists**, use AskUserQuestion:
```
header: "Existing"
question: "Existing content found. How to proceed?"
options:
- label: "Regenerate storyboard"
description: "Keep images, regenerate storyboard and characters only"
- label: "Regenerate images"
description: "Keep storyboard, regenerate images only"
- label: "Backup and regenerate"
description: "Backup to {slug}-backup-{timestamp}, then regenerate all"
- label: "Exit"
description: "Cancel, keep existing content unchanged"
```
Save result and handle accordingly:
- **Regenerate storyboard**: Skip to Step 3, preserve `prompts/` and images
- **Regenerate images**: Skip to Step 7, use existing prompts
- **Backup and regenerate**: Move directory, start fresh from Step 2
- **Exit**: End workflow immediately
---
## Step 2: Confirmation 1 - Style & Options ⚠️
**Purpose**: Select visual style + decide whether to review outline before generation. **Do NOT skip.**
**Note**: Watermark and language already configured in EXTEND.md (Step 1).
**Display summary**:
- Content type + topic identified
- Key figures extracted
- Time span detected
- Recommended page count
- Language: [from EXTEND.md or detected]
- **Recommended style**: [art] + [tone] (based on content signals)
**Use AskUserQuestion** for:
### Question 1: Visual Style
If a preset is recommended (see `auto-selection.md`), show it first:
```
header: "Style"
question: "Which visual style for this comic?"
options:
- label: "[preset name] preset (Recommended)" # If preset recommended
description: "[preset description] - includes special rules"
- label: "[recommended art] + [recommended tone] (Recommended)" # If no preset
description: "Best match for your content based on analysis"
- label: "ligne-claire + neutral"
description: "Classic educational, Logicomix style"
- label: "ohmsha preset"
description: "Educational manga with visual metaphors, gadgets, NO talking heads"
- label: "Custom"
description: "Specify your own art + tone or preset"
```
**Preset vs Art+Tone**: Presets include special rules beyond art+tone. `ohmsha` = manga + neutral + visual metaphor rules + character roles + NO talking heads. Plain `manga + neutral` does NOT include these rules.
### Question 2: Narrative Focus (multiSelect: true)
```
header: "Focus"
question: "What should the comic emphasize? (Select all that apply)"
options:
- label: "Biography/life story"
description: "Follow a person's journey through key life events"
- label: "Concept explanation"
description: "Break down complex ideas visually"
- label: "Historical event"
description: "Dramatize important historical moments"
- label: "Tutorial/how-to"
description: "Step-by-step educational guide"
```
### Question 3: Target Audience
```
header: "Audience"
question: "Who is the primary reader?"
options:
- label: "General readers"
description: "Broad appeal, accessible content"
- label: "Students/learners"
description: "Educational focus, clear explanations"
- label: "Industry professionals"
description: "Technical depth, domain knowledge"
- label: "Children/young readers"
description: "Simplified language, engaging visuals"
```
### Question 4: Outline Review
```
header: "Review"
question: "Do you want to review the outline before image generation?"
options:
- label: "Yes, let me review (Recommended)"
description: "Review storyboard and characters before generating images"
- label: "No, generate directly"
description: "Skip outline review, start generating immediately"
```
### Question 5: Prompt Review
```
header: "Prompts"
question: "Review prompts before generating images?"
options:
- label: "Yes, review prompts (Recommended)"
description: "Review image generation prompts before generating"
- label: "No, skip prompt review"
description: "Proceed directly to image generation"
```
**After response**:
1. Update `analysis.md` with user preferences
2. **Store `skip_outline_review`** flag based on Question 4 response
3. **Store `skip_prompt_review`** flag based on Question 5 response
4. → Step 3
---
## Step 3: Generate Storyboard + Characters
Create storyboard and character definitions using the confirmed style from Step 2.
**Loading Style References**:
- Art style: `art-styles/{art}.md`
- Tone: `tones/{tone}.md`
- If preset (ohmsha/wuxia/shoujo): also load `presets/{preset}.md`
**Generate**:
1. **Storyboard** (`storyboard.md`):
- YAML front matter with art_style, tone, layout, aspect_ratio
- Cover design
- Each page: layout, panel breakdown, visual prompts
- **Written in user's preferred language** (from Step 1)
- Reference: `storyboard-template.md`
- **If using preset**: Load and apply preset rules from `presets/`
2. **Character definitions** (`characters/characters.md`):
- Visual specs matching the art style (in user's preferred language)
- Include Reference Sheet Prompt for later image generation
- Reference: `character-template.md`
- **If using ohmsha preset**: Use default Doraemon characters (see below)
**Ohmsha Default Characters** (use these unless user specifies `--characters`):
| Role | Character | Visual Description |
|------|-----------|-------------------|
| Student | 大雄 (Nobita) | Japanese boy, 10yo, round glasses, black hair parted in middle, yellow shirt, navy shorts |
| Mentor | 哆啦A梦 (Doraemon) | Round blue robot cat, big white eyes, red nose, whiskers, white belly with 4D pocket, golden bell, no ears |
| Challenge | 胖虎 (Gian) | Stocky boy, rough features, small eyes, orange shirt |
| Support | 静香 (Shizuka) | Cute girl, black short hair, pink dress, gentle expression |
These are the canonical ohmsha-style characters. Do NOT create custom characters for ohmsha unless explicitly requested.
**After generation**:
- If `skip_outline_review` is true → Skip Step 4, go directly to Step 5
- If `skip_outline_review` is false → Continue to Step 4
---
## Step 4: Review Outline (Conditional)
**Skip this step** if user selected "No, generate directly" in Step 2.
**Purpose**: User reviews and confirms storyboard + characters before generation.
**Display**:
- Page count and structure
- Art style + Tone combination
- Page-by-page summary (Cover → P1 → P2...)
- Character list with brief descriptions
**Use AskUserQuestion**:
```
header: "Confirm"
question: "Ready to generate images with this outline?"
options:
- label: "Yes, proceed (Recommended)"
description: "Generate character sheet and comic pages"
- label: "Edit storyboard first"
description: "I'll modify storyboard.md before continuing"
- label: "Edit characters first"
description: "I'll modify characters/characters.md before continuing"
- label: "Edit both"
description: "I'll modify both files before continuing"
```
**After response**:
1. If user wants to edit → Wait for user to finish editing, then ask again
2. If user confirms → Continue to Step 5
---
## Step 5: Generate Prompts
Create image generation prompts for all pages.
**Style Reference Loading**:
- Read `art-styles/{art}.md` for rendering guidelines
- Read `tones/{tone}.md` for mood/color adjustments
- If preset: Read `presets/{preset}.md` for special rules
**For each page (cover + pages)**:
1. Create prompt following art style + tone guidelines
2. Include character visual descriptions for consistency
3. Save to `prompts/NN-{cover|page}-[slug].md`
**Prompt File Format**:
```markdown
# Page NN: [Title]
## Visual Style
Art: [art style] | Tone: [tone] | Layout: [layout type]
## Character Reference
[Character descriptions from characters/characters.md]
## Panel Breakdown
[From storyboard.md - panel descriptions, actions, dialogue]
## Generation Prompt
[Combined prompt for image generation skill]
```
**Watermark Application** (if enabled in preferences):
Add to each prompt:
```
Include a subtle watermark "[content]" positioned at [position]
with approximately [opacity*100]% visibility. The watermark should
be legible but not distracting from the comic panels and storytelling.
Ensure watermark does not overlap speech bubbles or key action.
```
Reference: `config/watermark-guide.md`
**After generation**:
- If `skip_prompt_review` is true → Skip Step 6, go directly to Step 7
- If `skip_prompt_review` is false → Continue to Step 6
---
## Step 6: Review Prompts (Conditional)
**Skip this step** if user selected "No, skip prompt review" in Step 2.
**Purpose**: User reviews and confirms prompts before image generation.
**Display prompt summary table**:
| Page | Title | Key Elements |
|------|-------|--------------|
| Cover | [title] | [main visual] |
| P1 | [title] | [key elements] |
| ... | ... | ... |
**Use AskUserQuestion**:
```
header: "Confirm"
question: "Ready to generate images with these prompts?"
options:
- label: "Yes, proceed (Recommended)"
description: "Generate all comic page images"
- label: "Edit prompts first"
description: "I'll modify prompts/*.md before continuing"
- label: "Regenerate prompts"
description: "Regenerate all prompts with different approach"
```
**After response**:
1. If user wants to edit → Wait for user to finish editing, then ask again
2. If user wants to regenerate → Go back to Step 5
3. If user confirms → Continue to Step 7
---
## Step 7: Generate Images
With confirmed prompts from Step 5/6:
### 7.1 Generate Character Reference Sheet (first)
1. Use Reference Sheet Prompt from `characters/characters.md`
2. Generate → `characters/characters.png`
3. This ensures visual consistency for all subsequent pages
### 7.2 Generate Comic Pages
**CRITICAL: Character Reference is MANDATORY** for visual consistency across all pages.
**Before generating any page**:
1. Read the image generation skill's SKILL.md
2. Check if it supports reference image input (`--ref`, `--reference`, etc.)
3. Choose the appropriate strategy below
**Character Reference Strategy**:
| Skill Capability | Strategy | Action |
|------------------|----------|--------|
| Supports `--ref` | **Strategy A** | Pass `characters/characters.png` with EVERY page |
| Does NOT support `--ref` | **Strategy B** | Prepend character descriptions to EVERY prompt |
**Strategy A: Using `--ref` parameter** (e.g., baoyu-image-gen)
```bash
# Each page generation MUST include --ref
npx -y bun ${SKILL_DIR}/../baoyu-image-gen/scripts/main.ts \
--promptfiles prompts/01-page-xxx.md \
--image 01-page-xxx.png \
--ar 3:4 \
--ref characters/characters.png
```
**Strategy B: Embedding character descriptions in prompt**
When skill does NOT support reference images, create combined prompt files:
```markdown
# prompts/01-page-xxx.md (with embedded character reference)
## Character Reference (maintain consistency)
[Copy relevant sections from characters/characters.md here]
- 大雄: Japanese boy, round glasses, yellow shirt, navy shorts...
- 哆啦A梦: Round blue robot cat, white belly, red nose, golden bell...
## Page Content
[Original page prompt here]
```
**For each page (cover + pages)**:
1. Read prompt from `prompts/NN-{cover|page}-[slug].md`
2. Generate image using Strategy A or B (based on skill capability)
3. Save to `NN-{cover|page}-[slug].png`
4. Report progress after each generation: "Generated X/N: [page title]"
**Session Management**:
If image generation skill supports `--sessionId`:
1. Generate unique session ID: `comic-{topic-slug}-{timestamp}`
2. Use same session ID for all pages
3. Ensures visual consistency across generated images
---
## Step 8: Merge to PDF
After all images generated:
```bash
npx -y bun ${SKILL_DIR}/scripts/merge-to-pdf.ts <comic-dir>
```
Creates `{topic-slug}.pdf` with all pages as full-page images.
---
## Step 9: Completion Report
```
Comic Complete!
Title: [title] | Art: [art] | Tone: [tone] | Pages: [count] | Aspect: [ratio] | Language: [lang]
Watermark: [enabled/disabled]
Location: [path]
✓ analysis.md
✓ characters.png
✓ 00-cover-[slug].png ... NN-page-[slug].png
✓ {topic-slug}.pdf
```
---
## Page Modification
| Action | Steps |
|--------|-------|
| **Edit** | Update prompt → Regenerate image → Regenerate PDF |
| **Add** | Create prompt at position → Generate image → Renumber subsequent (NN+1) → Update storyboard → Regenerate PDF |
| **Delete** | Remove files → Renumber subsequent (NN-1) → Update storyboard → Regenerate PDF |
**File naming**: `NN-{cover|page}-[slug].png` (e.g., `03-page-enigma-machine.png`)
- Slugs: kebab-case, unique, derived from content
- Renumbering: Update NN prefix only, slugs unchanged
+11 -7
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@@ -76,7 +76,8 @@ npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "A cat" --image out.png --provi
| `--model <id>`, `-m` | Model ID |
| `--ar <ratio>` | Aspect ratio (e.g., `16:9`, `1:1`, `4:3`) |
| `--size <WxH>` | Size (e.g., `1024x1024`) |
| `--quality normal\|2k` | Quality preset (default: normal) |
| `--quality normal\|2k` | Quality preset (default: 2k) |
| `--imageSize 1K\|2K\|4K` | Image size for Google (default: from quality) |
| `--ref <files...>` | Reference images (Google multimodal only) |
| `--n <count>` | Number of images |
| `--json` | JSON output |
@@ -102,17 +103,20 @@ npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "A cat" --image out.png --provi
## Quality Presets
| Preset | Resolution | Use Case |
|--------|------------|----------|
| `normal` | ~1024px | Covers, illustrations |
| `2k` | ~2048px | Infographics, slides |
| Preset | Google imageSize | OpenAI Size | Use Case |
|--------|------------------|-------------|----------|
| `normal` | 1K | 1024px | Quick previews |
| `2k` (default) | 2K | 2048px | Covers, illustrations, infographics |
**Google imageSize**: Can be overridden with `--imageSize 1K|2K|4K`
## Aspect Ratios
Supported: `1:1`, `16:9`, `9:16`, `4:3`, `3:4`, `2.35:1`
- Multimodal models: embedded in prompt
- Image-only models: uses `aspectRatio` or `size` parameter
- Google multimodal: uses `imageConfig.aspectRatio`
- Google Imagen: uses `aspectRatio` parameter
- OpenAI: maps to closest supported size
## Error Handling
+26 -255
View File
@@ -1,34 +1,8 @@
import fs from "node:fs";
import path from "node:path";
import process from "node:process";
import { homedir } from "node:os";
import { mkdir, readFile, writeFile } from "node:fs/promises";
type Provider = "google" | "openai";
type Quality = "normal" | "2k";
type CliArgs = {
prompt: string | null;
promptFiles: string[];
imagePath: string | null;
provider: Provider | null;
model: string | null;
aspectRatio: string | null;
size: string | null;
quality: Quality;
referenceImages: string[];
n: number;
json: boolean;
help: boolean;
};
const GOOGLE_MULTIMODAL_MODELS = [
"gemini-3-pro-image-preview",
];
const GOOGLE_IMAGEN_MODELS = ["imagen-3.0-generate-002", "imagen-3.0-generate-001"];
const OPENAI_IMAGE_MODELS = ["gpt-image-1.5", "gpt-image-1", "dall-e-3", "dall-e-2"];
import type { CliArgs, Provider } from "./types";
function printUsage(): void {
console.log(`Usage:
@@ -44,7 +18,8 @@ Options:
-m, --model <id> Model ID
--ar <ratio> Aspect ratio (e.g., 16:9, 1:1, 4:3)
--size <WxH> Size (e.g., 1024x1024)
--quality normal|2k Quality preset (default: normal)
--quality normal|2k Quality preset (default: 2k)
--imageSize 1K|2K|4K Image size for Google (default: from quality)
--ref <files...> Reference images (Google multimodal only)
--n <count> Number of images (default: 1)
--json JSON output
@@ -53,6 +28,7 @@ Options:
Environment variables:
OPENAI_API_KEY OpenAI API key
GOOGLE_API_KEY Google API key
GEMINI_API_KEY Gemini API key (alias for GOOGLE_API_KEY)
OPENAI_IMAGE_MODEL Default OpenAI model (gpt-image-1.5)
GOOGLE_IMAGE_MODEL Default Google model (gemini-3-pro-image-preview)
OPENAI_BASE_URL Custom OpenAI endpoint
@@ -70,7 +46,8 @@ function parseArgs(argv: string[]): CliArgs {
model: null,
aspectRatio: null,
size: null,
quality: "normal",
quality: "2k",
imageSize: null,
referenceImages: [],
n: 1,
json: false,
@@ -161,6 +138,13 @@ function parseArgs(argv: string[]): CliArgs {
continue;
}
if (a === "--imageSize") {
const v = argv[++i]?.toUpperCase();
if (v !== "1K" && v !== "2K" && v !== "4K") throw new Error(`Invalid imageSize: ${v}`);
out.imageSize = v;
continue;
}
if (a === "--ref" || a === "--reference") {
const { items, next } = takeMany(i);
if (items.length === 0) throw new Error(`Missing files for ${a}`);
@@ -257,7 +241,7 @@ function normalizeOutputImagePath(p: string): string {
function detectProvider(args: CliArgs): Provider {
if (args.provider) return args.provider;
const hasGoogle = !!process.env.GOOGLE_API_KEY;
const hasGoogle = !!(process.env.GOOGLE_API_KEY || process.env.GEMINI_API_KEY);
const hasOpenai = !!process.env.OPENAI_API_KEY;
if (hasGoogle && !hasOpenai) return "google";
@@ -265,235 +249,21 @@ function detectProvider(args: CliArgs): Provider {
if (hasGoogle && hasOpenai) return "google";
throw new Error(
"No API key found. Set GOOGLE_API_KEY or OPENAI_API_KEY.\n" +
"No API key found. Set GOOGLE_API_KEY, GEMINI_API_KEY, or OPENAI_API_KEY.\n" +
"Create ~/.baoyu-skills/.env or <cwd>/.baoyu-skills/.env with your keys."
);
}
function getDefaultModel(provider: Provider): string {
type ProviderModule = {
getDefaultModel: () => string;
generateImage: (prompt: string, model: string, args: CliArgs) => Promise<Uint8Array>;
};
async function loadProviderModule(provider: Provider): Promise<ProviderModule> {
if (provider === "google") {
return process.env.GOOGLE_IMAGE_MODEL || "gemini-3-pro-image-preview";
return (await import("./providers/google")) as ProviderModule;
}
return process.env.OPENAI_IMAGE_MODEL || "gpt-image-1.5";
}
function isGoogleMultimodal(model: string): boolean {
return GOOGLE_MULTIMODAL_MODELS.some((m) => model.includes(m));
}
function isGoogleImagen(model: string): boolean {
return GOOGLE_IMAGEN_MODELS.some((m) => model.includes(m));
}
function buildPromptWithAspect(prompt: string, ar: string | null, quality: Quality): string {
let result = prompt;
if (ar) {
result += ` Aspect ratio: ${ar}.`;
}
if (quality === "2k") {
result += " High resolution 2048px.";
}
return result;
}
function parseAspectRatio(ar: string): { width: number; height: number } | null {
const match = ar.match(/^(\d+(?:\.\d+)?):(\d+(?:\.\d+)?)$/);
if (!match) return null;
const w = parseFloat(match[1]!);
const h = parseFloat(match[2]!);
if (w <= 0 || h <= 0) return null;
return { width: w, height: h };
}
function getOpenAISize(ar: string | null, quality: Quality): string {
const base = quality === "2k" ? 2048 : 1024;
if (!ar) return `${base}x${base}`;
const parsed = parseAspectRatio(ar);
if (!parsed) return `${base}x${base}`;
const ratio = parsed.width / parsed.height;
if (Math.abs(ratio - 1) < 0.1) return `${base}x${base}`;
if (ratio > 1.5) return quality === "2k" ? "2048x1024" : "1792x1024";
if (ratio < 0.67) return quality === "2k" ? "1024x2048" : "1024x1792";
return `${base}x${base}`;
}
async function readImageAsBase64(p: string): Promise<{ data: string; mimeType: string }> {
const buf = await readFile(p);
const ext = path.extname(p).toLowerCase();
let mimeType = "image/png";
if (ext === ".jpg" || ext === ".jpeg") mimeType = "image/jpeg";
else if (ext === ".gif") mimeType = "image/gif";
else if (ext === ".webp") mimeType = "image/webp";
return { data: buf.toString("base64"), mimeType };
}
async function generateWithGoogleMultimodal(
prompt: string,
model: string,
args: CliArgs
): Promise<Uint8Array> {
const { generateText } = await import("ai");
const { createGoogleGenerativeAI } = await import("@ai-sdk/google");
const google = createGoogleGenerativeAI({
apiKey: process.env.GOOGLE_API_KEY,
baseURL: process.env.GOOGLE_BASE_URL,
});
const fullPrompt = buildPromptWithAspect(prompt, args.aspectRatio, args.quality);
const messages: any[] = [];
const content: any[] = [];
for (const refPath of args.referenceImages) {
const { data, mimeType } = await readImageAsBase64(refPath);
content.push({ type: "image", image: data, mimeType });
}
content.push({ type: "text", text: fullPrompt });
messages.push({ role: "user", content });
const result = await generateText({
model: google(model, { useSearchGrounding: false }),
messages,
providerOptions: {
google: {
responseModalities: ["TEXT", "IMAGE"],
},
},
});
const files = (result as any).files;
if (!files || files.length === 0) {
const expRes = (result as any).response?.body?.candidates?.[0]?.content?.parts;
if (expRes) {
for (const part of expRes) {
if (part.inlineData?.data) {
return Uint8Array.from(Buffer.from(part.inlineData.data, "base64"));
}
}
}
throw new Error("No image in response");
}
const img = files[0];
if (img.uint8Array) return img.uint8Array;
if (img.base64) return Uint8Array.from(Buffer.from(img.base64, "base64"));
throw new Error("Cannot extract image data");
}
async function generateWithGoogleImagen(
prompt: string,
model: string,
args: CliArgs
): Promise<Uint8Array> {
const { experimental_generateImage: generateImage } = await import("ai");
const { createGoogleGenerativeAI } = await import("@ai-sdk/google");
const google = createGoogleGenerativeAI({
apiKey: process.env.GOOGLE_API_KEY,
baseURL: process.env.GOOGLE_BASE_URL,
});
const fullPrompt = buildPromptWithAspect(prompt, args.aspectRatio, args.quality);
const result = await generateImage({
model: google.image(model),
prompt: fullPrompt,
n: args.n,
aspectRatio: args.aspectRatio || undefined,
});
const img = result.images[0];
if (!img) throw new Error("No image in response");
if (img.uint8Array) return img.uint8Array;
if (img.base64) return Uint8Array.from(Buffer.from(img.base64, "base64"));
throw new Error("Cannot extract image data");
}
async function generateWithOpenAI(
prompt: string,
model: string,
args: CliArgs
): Promise<Uint8Array> {
const baseURL = process.env.OPENAI_BASE_URL || "https://api.openai.com/v1";
const apiKey = process.env.OPENAI_API_KEY;
if (!apiKey) throw new Error("OPENAI_API_KEY is required");
const size = args.size || getOpenAISize(args.aspectRatio, args.quality);
const body: Record<string, any> = {
model,
prompt,
size,
};
if (model.includes("dall-e-3")) {
body.quality = args.quality === "2k" ? "hd" : "standard";
}
const res = await fetch(`${baseURL}/images/generations`, {
method: "POST",
headers: {
"Content-Type": "application/json",
Authorization: `Bearer ${apiKey}`,
},
body: JSON.stringify(body),
});
if (!res.ok) {
const err = await res.text();
throw new Error(`OpenAI API error: ${err}`);
}
const result = (await res.json()) as { data: Array<{ url?: string; b64_json?: string }> };
const img = result.data[0];
if (img?.b64_json) {
return Uint8Array.from(Buffer.from(img.b64_json, "base64"));
}
if (img?.url) {
const imgRes = await fetch(img.url);
if (!imgRes.ok) throw new Error("Failed to download image");
const buf = await imgRes.arrayBuffer();
return new Uint8Array(buf);
}
throw new Error("No image in response");
}
async function generate(
provider: Provider,
model: string,
prompt: string,
args: CliArgs
): Promise<Uint8Array> {
if (provider === "google") {
if (isGoogleMultimodal(model)) {
return generateWithGoogleMultimodal(prompt, model, args);
}
if (isGoogleImagen(model)) {
if (args.referenceImages.length > 0) {
console.error("Warning: Reference images not supported with Imagen models, ignoring.");
}
return generateWithGoogleImagen(prompt, model, args);
}
return generateWithGoogleMultimodal(prompt, model, args);
}
if (args.referenceImages.length > 0) {
console.error("Warning: Reference images not supported with OpenAI, ignoring.");
}
return generateWithOpenAI(prompt, model, args);
return (await import("./providers/openai")) as ProviderModule;
}
async function main(): Promise<void> {
@@ -525,7 +295,8 @@ async function main(): Promise<void> {
}
const provider = detectProvider(args);
const model = args.model || getDefaultModel(provider);
const providerModule = await loadProviderModule(provider);
const model = args.model || providerModule.getDefaultModel();
const outputPath = normalizeOutputImagePath(args.imagePath);
let imageData: Uint8Array;
@@ -533,7 +304,7 @@ async function main(): Promise<void> {
while (true) {
try {
imageData = await generate(provider, model, prompt, args);
imageData = await providerModule.generateImage(prompt, model, args);
break;
} catch (e) {
if (!retried) {
@@ -0,0 +1,149 @@
import path from "node:path";
import { readFile } from "node:fs/promises";
import type { CliArgs } from "../types";
const GOOGLE_MULTIMODAL_MODELS = ["gemini-3-pro-image-preview"];
const GOOGLE_IMAGEN_MODELS = ["imagen-3.0-generate-002", "imagen-3.0-generate-001"];
export function getDefaultModel(): string {
return process.env.GOOGLE_IMAGE_MODEL || "gemini-3-pro-image-preview";
}
function isGoogleMultimodal(model: string): boolean {
return GOOGLE_MULTIMODAL_MODELS.some((m) => model.includes(m));
}
function isGoogleImagen(model: string): boolean {
return GOOGLE_IMAGEN_MODELS.some((m) => model.includes(m));
}
function getGoogleApiKey(): string | null {
return process.env.GOOGLE_API_KEY || process.env.GEMINI_API_KEY || null;
}
function getGoogleImageSize(args: CliArgs): "1K" | "2K" | "4K" {
if (args.imageSize) return args.imageSize as "1K" | "2K" | "4K";
return args.quality === "2k" ? "2K" : "1K";
}
function buildPromptWithAspect(prompt: string, ar: string | null, quality: CliArgs["quality"]): string {
let result = prompt;
if (ar) {
result += ` Aspect ratio: ${ar}.`;
}
if (quality === "2k") {
result += " High resolution 2048px.";
}
return result;
}
async function readImageAsBase64(p: string): Promise<{ data: string; mimeType: string }> {
const buf = await readFile(p);
const ext = path.extname(p).toLowerCase();
let mimeType = "image/png";
if (ext === ".jpg" || ext === ".jpeg") mimeType = "image/jpeg";
else if (ext === ".gif") mimeType = "image/gif";
else if (ext === ".webp") mimeType = "image/webp";
return { data: buf.toString("base64"), mimeType };
}
async function generateWithGemini(
prompt: string,
model: string,
args: CliArgs
): Promise<Uint8Array> {
const { GoogleGenAI } = await import("@google/genai");
const apiKey = getGoogleApiKey();
if (!apiKey) throw new Error("GOOGLE_API_KEY or GEMINI_API_KEY is required");
const ai = new GoogleGenAI({
apiKey,
httpOptions: {
baseUrl: process.env.GOOGLE_BASE_URL || undefined,
},
});
const input: Array<{ type: "text" | "image"; text?: string; data?: string; mime_type?: string }> = [];
for (const refPath of args.referenceImages) {
const { data, mimeType } = await readImageAsBase64(refPath);
input.push({ type: "image", data, mime_type: mimeType });
}
input.push({ type: "text", text: prompt });
const imageConfig: { image_size: "1K" | "2K" | "4K"; aspect_ratio?: string } = {
image_size: getGoogleImageSize(args),
};
if (args.aspectRatio) {
imageConfig.aspect_ratio = args.aspectRatio;
}
console.log("Generating image with Gemini...", imageConfig);
const interaction = await ai.interactions.create({
model,
input,
response_modalities: ["image"],
generation_config: {
image_config: imageConfig,
},
});
console.log("Generation completed.");
for (const output of interaction.outputs || []) {
if (output.type === "image" && output.data) {
return Uint8Array.from(Buffer.from(output.data, "base64"));
}
}
throw new Error("No image in response");
}
async function generateWithImagen(
prompt: string,
model: string,
args: CliArgs
): Promise<Uint8Array> {
const { experimental_generateImage: generateImage } = await import("ai");
const { createGoogleGenerativeAI } = await import("@ai-sdk/google");
const google = createGoogleGenerativeAI({
apiKey: getGoogleApiKey() || undefined,
baseURL: process.env.GOOGLE_BASE_URL,
});
const fullPrompt = buildPromptWithAspect(prompt, args.aspectRatio, args.quality);
const result = await generateImage({
model: google.image(model),
prompt: fullPrompt,
n: args.n,
aspectRatio: args.aspectRatio || undefined,
});
const img = result.images[0];
if (!img) throw new Error("No image in response");
if (img.uint8Array) return img.uint8Array;
if (img.base64) return Uint8Array.from(Buffer.from(img.base64, "base64"));
throw new Error("Cannot extract image data");
}
export async function generateImage(
prompt: string,
model: string,
args: CliArgs
): Promise<Uint8Array> {
if (isGoogleImagen(model)) {
if (args.referenceImages.length > 0) {
console.error("Warning: Reference images not supported with Imagen models, ignoring.");
}
return generateWithImagen(prompt, model, args);
}
if (!isGoogleMultimodal(model) && args.referenceImages.length > 0) {
console.error("Warning: Reference images are only supported with Gemini multimodal models.");
}
return generateWithGemini(prompt, model, args);
}
@@ -0,0 +1,114 @@
import type { CliArgs } from "../types";
export function getDefaultModel(): string {
return process.env.OPENAI_IMAGE_MODEL || "gpt-image-1.5";
}
function parseAspectRatio(ar: string): { width: number; height: number } | null {
const match = ar.match(/^(\d+(?:\.\d+)?):(\d+(?:\.\d+)?)$/);
if (!match) return null;
const w = parseFloat(match[1]!);
const h = parseFloat(match[2]!);
if (w <= 0 || h <= 0) return null;
return { width: w, height: h };
}
type SizeMapping = {
square: string;
landscape: string;
portrait: string;
};
function getOpenAISize(
model: string,
ar: string | null,
quality: CliArgs["quality"]
): string {
const isDalle3 = model.includes("dall-e-3");
const isDalle2 = model.includes("dall-e-2");
if (isDalle2) {
return "1024x1024";
}
const sizes: SizeMapping = isDalle3
? {
square: "1024x1024",
landscape: "1792x1024",
portrait: "1024x1792",
}
: {
square: "1024x1024",
landscape: "1536x1024",
portrait: "1024x1536",
};
if (!ar) return sizes.square;
const parsed = parseAspectRatio(ar);
if (!parsed) return sizes.square;
const ratio = parsed.width / parsed.height;
if (Math.abs(ratio - 1) < 0.1) return sizes.square;
if (ratio > 1.5) return sizes.landscape;
if (ratio < 0.67) return sizes.portrait;
return sizes.square;
}
export async function generateImage(
prompt: string,
model: string,
args: CliArgs
): Promise<Uint8Array> {
const baseURL = process.env.OPENAI_BASE_URL || "https://api.openai.com/v1";
const apiKey = process.env.OPENAI_API_KEY;
if (!apiKey) throw new Error("OPENAI_API_KEY is required");
if (args.referenceImages.length > 0) {
console.error("Warning: Reference images not supported with OpenAI, ignoring.");
}
const size = args.size || getOpenAISize(model, args.aspectRatio, args.quality);
const body: Record<string, any> = {
model,
prompt,
size,
};
if (model.includes("dall-e-3")) {
body.quality = args.quality === "2k" ? "hd" : "standard";
}
const res = await fetch(`${baseURL}/images/generations`, {
method: "POST",
headers: {
"Content-Type": "application/json",
Authorization: `Bearer ${apiKey}`,
},
body: JSON.stringify(body),
});
if (!res.ok) {
const err = await res.text();
throw new Error(`OpenAI API error: ${err}`);
}
const result = (await res.json()) as { data: Array<{ url?: string; b64_json?: string }> };
const img = result.data[0];
if (img?.b64_json) {
return Uint8Array.from(Buffer.from(img.b64_json, "base64"));
}
if (img?.url) {
const imgRes = await fetch(img.url);
if (!imgRes.ok) throw new Error("Failed to download image");
const buf = await imgRes.arrayBuffer();
return new Uint8Array(buf);
}
throw new Error("No image in response");
}
+18
View File
@@ -0,0 +1,18 @@
export type Provider = "google" | "openai";
export type Quality = "normal" | "2k";
export type CliArgs = {
prompt: string | null;
promptFiles: string[];
imagePath: string | null;
provider: Provider | null;
model: string | null;
aspectRatio: string | null;
size: string | null;
quality: Quality;
imageSize: string | null;
referenceImages: string[];
n: number;
json: boolean;
help: boolean;
};