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11 Commits

Author SHA1 Message Date
Jim Liu 宝玉 ea8ad82786 chore: release v1.30.1 2026-02-06 16:07:34 -06:00
Jim Liu 宝玉 6fffe252c0 fix(baoyu-cover-image): enhance reference image analysis and prompt generation
- Add deep analysis template for extracting specific visual elements
- Require MUST INCORPORATE section with concrete, reproducible details
- Add integration approach for spatial layout instructions
- Clarify ref-capable backend requirements (Google/OpenAI)
2026-02-06 16:07:09 -06:00
Jim Liu 宝玉 86a84739e8 feat(baoyu-image-gen): add OpenAI GPT Image edits support for reference images
- Support --ref with OpenAI GPT Image models (gpt-image-1.5)
- Auto-select Google or OpenAI when --ref provided
- Change ref-related warnings to explicit errors with fix hints
- Add reference image validation before generation
- Improve retry logic to skip non-retryable errors
2026-02-06 16:06:58 -06:00
Jim Liu 宝玉 7f80100b3e chore: release v1.30.0 2026-02-06 14:56:00 -06:00
Jim Liu 宝玉 61960961ba feat(baoyu-cover-image): add font dimension with 4 styles
Add 6th dimension for typography control:
- clean: modern geometric sans-serif
- handwritten: warm hand-lettered style
- serif: classic elegant typography
- display: bold decorative headlines

Includes auto-selection rules, compatibility matrix, and warm-flat preset.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-06 14:55:11 -06:00
Jim Liu 宝玉 cdd9ee042d chore: release v1.29.0 2026-02-06 13:36:08 -06:00
Jim Liu 宝玉 c742bfa1af fix(baoyu-url-to-markdown): improve html extraction and markdown conversion 2026-02-06 13:35:28 -06:00
Jim Liu 宝玉 0faea4ecaa Merge pull request #38 from kingdomad/feature/baoyu-image-gen-extend-config
add EXTEND.md configuration support
2026-02-05 23:10:11 -06:00
Jim Liu 宝玉 7c9ec259a1 Merge pull request #36 from NantesCheval/fix/wechat-title-and-list-duplication
fix(baoyu-post-to-wechat): fix title and list number duplication in WeChat articles
2026-02-05 23:09:17 -06:00
史提芬达 24a17709a8 add EXTEND.md configuration support 2026-02-05 19:46:22 +08:00
AlexCheval a3849af0cf fix(baoyu-post-to-wechat): fix title and list number duplication in WeChat articles
- Remove title from body content when extracting it for WeChat title field
  to prevent duplicate title display (one in header, one in content)
- Remove manual ordered list prefix since HTML <ol> already provides numbering,
  preventing "1.1.", "2.2.", "3.3." duplication

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-05 10:04:34 +08:00
20 changed files with 1516 additions and 284 deletions
+1 -1
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@@ -6,7 +6,7 @@
},
"metadata": {
"description": "Skills shared by Baoyu for improving daily work efficiency",
"version": "1.28.4"
"version": "1.30.1"
},
"plugins": [
{
+23
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@@ -2,6 +2,29 @@
English | [中文](./CHANGELOG.zh.md)
## 1.30.1 - 2026-02-06
### Features
- `baoyu-image-gen`: add OpenAI GPT Image edits support for reference images (`--ref`); auto-select Google or OpenAI when ref provided.
### Fixes
- `baoyu-image-gen`: change ref-related warnings to explicit errors with fix hints; add reference image validation.
- `baoyu-cover-image`: enhance reference image analysis with deep extraction template; require MUST INCORPORATE section for concrete visual elements.
## 1.30.0 - 2026-02-06
### Features
- `baoyu-cover-image`: add font dimension with 4 typography styles (clean, handwritten, serif, display); includes auto-selection rules, compatibility matrix, and `warm-flat` style preset.
## 1.29.0 - 2026-02-06
### Features
- `baoyu-image-gen`: add EXTEND.md configuration support, including schema documentation and runtime preference loading in scripts (by @kingdomad).
### Fixes
- `baoyu-post-to-wechat`: fix duplicated title and ordered-list numbering in WeChat article publishing (by @NantesCheval).
- `baoyu-url-to-markdown`: replace regex-only conversion with multi-strategy content extraction and Turndown conversion; improve noise filtering for Substack-style pages.
## 1.28.4 - 2026-02-03
### Features
+23
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@@ -2,6 +2,29 @@
[English](./CHANGELOG.md) | 中文
## 1.30.1 - 2026-02-06
### 新功能
- `baoyu-image-gen`:新增 OpenAI GPT Image edits 支持参考图片(`--ref`);提供 ref 时自动选择 Google 或 OpenAI。
### 修复
- `baoyu-image-gen`:将 ref 相关警告改为明确错误提示;新增参考图片验证。
- `baoyu-cover-image`:增强参考图片分析,使用深度提取模板;要求 MUST INCORPORATE 章节以包含具体可复现的视觉元素。
## 1.30.0 - 2026-02-06
### 新功能
- `baoyu-cover-image`:新增字体维度,支持 4 种字体风格(clean、handwritten、serif、display);包含自动选择规则、兼容性矩阵和 `warm-flat` 风格预设。
## 1.29.0 - 2026-02-06
### 新功能
- `baoyu-image-gen`:新增 EXTEND.md 配置支持,补充配置 schema 文档并在脚本运行时读取偏好设置 (by @kingdomad)。
### 修复
- `baoyu-post-to-wechat`:修复公众号文章发布时标题和有序列表编号重复问题 (by @NantesCheval)。
- `baoyu-url-to-markdown`:将正则转换升级为多策略正文抽取 + Turndown 转换,提升 Substack 类页面的噪声过滤能力。
## 1.28.4 - 2026-02-03
### 新功能
+55 -21
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@@ -50,6 +50,7 @@ Generate elegant cover images for articles with 5-dimensional customization.
| `--style <name>` | Preset shorthand (expands to palette + rendering, see [Style Presets](references/style-presets.md)) |
| `--text <level>` | Text density: none, title-only, title-subtitle, text-rich |
| `--mood <level>` | Emotional intensity: subtle, balanced, bold |
| `--font <name>` | Font style: clean, handwritten, serif, display |
| `--aspect <ratio>` | 16:9 (default), 2.35:1, 4:3, 3:2, 1:1, 3:4 |
| `--lang <code>` | Title language (en, zh, ja, etc.) |
| `--no-title` | Alias for `--text none` |
@@ -65,6 +66,7 @@ Generate elegant cover images for articles with 5-dimensional customization.
| **Rendering** | Line quality, texture, depth, element style | flat-vector, hand-drawn, painterly, digital, pixel, chalk | auto |
| **Text** | Text density, information hierarchy | none, title-only, title-subtitle, text-rich | title-only |
| **Mood** | Emotional intensity, visual weight | subtle, balanced, bold | balanced |
| **Font** | Typography style, character feel | clean, handwritten, serif, display | clean |
Dimensions can be freely combined. Auto-selection rules: [references/auto-selection.md](references/auto-selection.md)
@@ -127,6 +129,17 @@ Rendering definitions: [references/renderings/](references/renderings/)
Full guides: [references/dimensions/text.md](references/dimensions/text.md) | [references/dimensions/mood.md](references/dimensions/mood.md)
## Font Gallery
| Font | Description | Best For |
|------|-------------|----------|
| `clean` | Modern geometric sans-serif | Tech, professional, minimal |
| `handwritten` | Warm hand-lettered style | Personal, friendly, lifestyle |
| `serif` | Classic elegant typography | Editorial, academic, luxury |
| `display` | Bold decorative headlines | Announcements, entertainment |
Full guide: [references/dimensions/font.md](references/dimensions/font.md)
## Style Presets & Compatibility
- **Style Presets**: `--style X` expands to palette + rendering. See [references/style-presets.md](references/style-presets.md)
@@ -175,7 +188,7 @@ Cover Image Progress:
- [ ] File path given → saved to refs/ ✓
- [ ] No path → asked user OR extracted verbally
- [ ] 1.2 Output directory determined
- [ ] Step 2: Confirm options (5 dimensions) ⚠️ REQUIRED unless --quick or all specified
- [ ] Step 2: Confirm options (6 dimensions) ⚠️ REQUIRED unless --quick or all specified
- [ ] Step 3: Create prompt
- [ ] References in prompt ONLY if files exist in refs/
- [ ] Extracted style/palette appended to prompt body (if no file)
@@ -196,7 +209,7 @@ Input → [Step 0: Preferences] ─┬─ Found → Continue
┌───────────────────────────────────────────────────────────────────────────┘
Analyze + Save Refs → [Output Dir ⚠️] → [Confirm: 5 Dimensions] → Prompt → Generate → Complete
Analyze + Save Refs → [Output Dir ⚠️] → [Confirm: 6 Dimensions] → Prompt → Generate → Complete
(skip if --quick or all specified)
```
@@ -233,7 +246,7 @@ Preferences loaded from [project/user]:
• Quick mode: [enabled/disabled] | Language: [value or "auto"]
```
**EXTEND.md Supports**: Watermark | Preferred type | Preferred palette | Preferred rendering | Preferred text | Preferred mood | Default aspect ratio | Default output directory | Quick mode | Custom palette definitions | Language preference
**EXTEND.md Supports**: Watermark | Preferred type | Preferred palette | Preferred rendering | Preferred text | Preferred mood | Preferred font | Default aspect ratio | Default output directory | Quick mode | Custom palette definitions | Language preference
Schema: [references/config/preferences-schema.md](references/config/preferences-schema.md)
@@ -304,16 +317,23 @@ Reference Style Extracted (no file):
- Identify visual metaphors
- Detect content type
**1.3 Reference Image Analysis** (if provided in Step 1.0)
**1.3 Reference Image Deep Analysis** ⚠️ CRITICAL (if provided in Step 1.0)
For each reference image:
References are high-priority inputs. Perform deep visual analysis to extract **specific, concrete, reproducible** elements — not vague summaries.
| Analysis | Description |
|----------|-------------|
| Visual characteristics | Style, colors, composition |
| Content/subject | What the reference depicts |
| Style match | Which type/palette/rendering align |
| Usage recommendation | `direct` / `style` / `palette` |
For each reference image, extract ALL of the following:
| Analysis | Description | Example (good vs bad) |
|----------|-------------|----------------------|
| **Brand elements** | Logos, wordmarks, specific typography treatments | Good: "Logo uses vertical parallel lines for 'm'" / Bad: "Has a logo" |
| **Signature patterns** | Unique decorative motifs, textures, geometric patterns | Good: "Woven intersecting curves forming diamond grid" / Bad: "Has patterns" |
| **Color palette** | Exact hex values or close approximations for key colors | Good: "#2D4A3E dark teal, #F5F0E0 cream" / Bad: "Dark and light colors" |
| **Layout structure** | Specific spatial arrangement, banner placement, zone splits | Good: "Bottom 30% dark banner with branding" / Bad: "Has a banner" |
| **Typography** | Font style, weight, spacing, case, positioning | Good: "Uppercase, wide letter-spacing, handwritten ep number" / Bad: "Has text" |
| **Content/subject** | What the reference depicts | Factual description |
| **Usage recommendation** | `direct` / `style` / `palette` | Based on analysis |
**Output format**: List each element as a bullet point that can be directly copy-pasted into a prompt as a mandatory instruction.
**1.4 Language Detection**
- Detect source language
@@ -326,14 +346,14 @@ For each reference image:
### Step 2: Confirm Options ⚠️
Validate all 5 dimensions + aspect ratio. Full confirmation flow: [references/workflow/confirm-options.md](references/workflow/confirm-options.md)
Validate all 6 dimensions + aspect ratio. Full confirmation flow: [references/workflow/confirm-options.md](references/workflow/confirm-options.md)
**Skip Conditions**:
| Condition | Skipped | Still Asked |
|-----------|---------|-------------|
| `--quick` or `quick_mode: true` | 5 dimensions | Aspect ratio (unless `--aspect`) |
| All 5 + `--aspect` specified | All | None |
| `--quick` or `quick_mode: true` | 6 dimensions | Aspect ratio (unless `--aspect`) |
| All 6 + `--aspect` specified | All | None |
### Step 3: Create Prompt
@@ -367,10 +387,15 @@ references:
| Situation | Frontmatter | Body |
|-----------|-------------|------|
| Reference file saved to `refs/` | Add to `references` ✓ | Brief style note |
| Reference file saved to `refs/` | Add to `references` ✓ | **Detailed mandatory style instructions** (see below) |
| Style extracted verbally (no file) | Omit `references` | Full style description |
| File in frontmatter but doesn't exist | ERROR - fix or remove | — |
⚠️ **"Brief style note" is NOT sufficient.** When references are provided, the prompt body MUST contain a dedicated `# Reference Style — MUST INCORPORATE` section with:
1. Per-reference breakdown of **specific visual elements** extracted in Step 1.3
2. Each element prefixed with "MUST" or "REQUIRED"
3. An **integration approach** describing exactly how reference elements should be composed into the cover layout (e.g., "Use a split layout: illustration area 65% + dark branded banner 35%")
### Step 4: Generate Image
**4.1 Backup existing** `cover.png``cover-backup-YYYYMMDD-HHMMSS.png` (if regenerating)
@@ -408,8 +433,8 @@ references:
| Skill Supports `--ref` | Action |
|------------------------|--------|
| Yes (e.g., baoyu-image-gen with Google) | Pass reference images via `--ref` |
| No | Convert to text description, append to prompt |
| Yes (e.g., baoyu-image-gen with Google/OpenAI) | Pass reference images via `--ref` |
| No | If usage is `direct`, switch to a ref-capable backend (baoyu-image-gen + Google multimodal or OpenAI GPT Image edits). If unavailable, convert to text description and remove direct refs |
**Verification**: Before generating, confirm reference processing:
```
@@ -421,7 +446,7 @@ Reference Processing:
**4.4 Generate**
1. Call selected skill with prompt file path, output path (`cover.png`), aspect ratio
2. If references with `direct` usage AND skill supports `--ref`: include `--ref` parameter
2. If references with `direct` usage: use ref-capable backend and include `--ref` (recommend `baoyu-image-gen --provider google --model gemini-3-pro-image-preview` or `--provider openai --model gpt-image-1.5`)
3. On failure: auto-retry once before reporting error
### Step 5: Completion Report
@@ -431,7 +456,7 @@ Cover Generated!
Topic: [topic]
Type: [type] | Palette: [palette] | Rendering: [rendering]
Text: [text] | Mood: [mood] | Aspect: [ratio]
Text: [text] | Mood: [mood] | Font: [font] | Aspect: [ratio]
Title: [title text or "visual only"]
Language: [lang] | Watermark: [enabled/disabled]
References: [N images (direct/style/palette) or "extracted style" or "none"]
@@ -463,13 +488,22 @@ All modifications automatically backup existing `cover.png` before regenerating.
- Cover must be readable at small preview sizes
- Visual metaphors > literal representations
- Title: readable, impactful
- Two confirmation points: Step 0 (first-time setup) + Step 2 (options) - skip Step 2 with `--quick`
- Two confirmation points: Step 0 (first-time setup) + Step 2 (6 dimensions) - skip Step 2 with `--quick`
- Use confirmed language for title text
- Maintain watermark consistency if enabled
- Check compatibility matrices when selecting combinations
- `--no-title` is alias for `--text none`
- `--style` presets are backward-compatible; explicit `--palette`/`--rendering` override preset values
### Reference Image Priority ⚠️
When user provides reference images, they are **HIGH PRIORITY** and MUST strongly influence the generated cover:
- **References override defaults**: If reference images conflict with preferred palette/rendering, the reference visual identity takes precedence in the prompt
- **Concrete > abstract**: Extract specific, reproducible visual elements (exact patterns, logo treatments, color hex values, layout structures) — not vague descriptions like "clean style"
- **Mandatory language**: Use "MUST", "REQUIRED", "CRITICAL" in the prompt for reference elements — generic "follow the style" is insufficient for image generation models
- **Visible in output**: After generation, verify that reference elements are actually present in the cover. If not, strengthen the prompt and regenerate
### Composition Principles
- **Generous whitespace**: 40-60% breathing room; avoid cluttered layouts
@@ -485,7 +519,7 @@ All modifications automatically backup existing `cover.png` before regenerating.
## References
**Dimensions**: [text.md](references/dimensions/text.md) | [mood.md](references/dimensions/mood.md)
**Dimensions**: [text.md](references/dimensions/text.md) | [mood.md](references/dimensions/mood.md) | [font.md](references/dimensions/font.md)
**Palettes**: [references/palettes/](references/palettes/)
**Renderings**: [references/renderings/](references/renderings/)
**Auto-Selection**: [references/auto-selection.md](references/auto-selection.md)
@@ -58,3 +58,14 @@ Default: `title-only`
| Launch, announcement, promotion, event, gaming, entertainment | `bold` |
Default: `balanced`
## Auto Font Selection
| Signals | Font |
|---------|------|
| Personal, lifestyle, human, warm, friendly, story | `handwritten` |
| Technical, professional, clean, modern, minimal, data | `clean` |
| Editorial, academic, luxury, classic, literary | `serif` |
| Announcement, entertainment, promotion, bold, event, gaming | `display` |
Default: `clean`
@@ -48,3 +48,12 @@
| metaphor | ✓✓ | ✓✓ | ✓ |
| scene | ✓✓ | ✓✓ | ✓ |
| minimal | ✓✓ | ✓✓ | ✗ |
## Font × Rendering
| | flat-vector | hand-drawn | painterly | digital | pixel | chalk |
|---|:---:|:---:|:---:|:---:|:---:|:---:|
| clean | ✓✓ | ✗ | ✗ | ✓✓ | ✓ | ✗ |
| handwritten | ✓ | ✓✓ | ✓✓ | ✓ | ✗ | ✓✓ |
| serif | ✓ | ✗ | ✓ | ✓✓ | ✗ | ✗ |
| display | ✓✓ | ✓ | ✓ | ✓✓ | ✓✓ | ✓ |
@@ -0,0 +1,163 @@
---
name: font-dimension
description: Typography style dimension for cover images
---
# Font Dimension
Controls typography style and character feel.
## Values
| Font | Visual Style | Line Quality | Character |
|------|--------------|--------------|-----------|
| `clean` | Geometric sans-serif | Sharp, uniform | Modern, precise, neutral |
| `handwritten` | Hand-lettered, brush | Organic, varied | Warm, personal, friendly |
| `serif` | Classic serifs, elegant | Refined, structured | Editorial, authoritative |
| `display` | Bold, decorative | Heavy, expressive | Attention-grabbing, playful |
## Detail
### clean
Modern, universal typography with neutral character.
**Characteristics**:
- Geometric sans-serif letterforms
- Sharp, uniform line weight
- Clean edges, no flourishes
- High readability at all sizes
- Minimal personality, maximum clarity
**Use Cases**:
- Technical documentation
- Professional/corporate content
- Minimal design approaches
- Data-driven articles
- Modern brand aesthetics
**Prompt Hints**:
- Use clean geometric sans-serif typography
- Modern, minimal letterforms
- Sharp edges, uniform stroke weight
- High contrast against background
### handwritten
Warm, organic typography with personal character.
**Characteristics**:
- Hand-lettered or brush style
- Organic, varied line weight
- Natural imperfections
- Approachable, human feel
- Casual yet intentional
**Use Cases**:
- Personal stories
- Lifestyle content
- Wellness and self-improvement
- Creative tutorials
- Friendly brand voices
**Prompt Hints**:
- Use warm hand-lettered typography with organic brush strokes
- Friendly, personal feel
- Natural variation in stroke weight
- Approachable, human character
### serif
Classic, elegant typography with editorial authority.
**Characteristics**:
- Traditional serif letterforms
- Refined, structured strokes
- Elegant proportions
- Timeless sophistication
- Formal, trustworthy feel
**Use Cases**:
- Editorial content
- Academic articles
- Luxury brand content
- Historical topics
- Literary pieces
**Prompt Hints**:
- Use elegant serif typography with refined letterforms
- Classic, editorial character
- Structured, proportional spacing
- Authoritative, sophisticated feel
### display
Bold, decorative typography for maximum impact.
**Characteristics**:
- Heavy, expressive letterforms
- Decorative elements
- Strong visual presence
- Playful or dramatic character
- Designed for headlines
**Use Cases**:
- Announcements
- Entertainment content
- Promotional materials
- Event marketing
- Gaming topics
**Prompt Hints**:
- Use bold decorative display typography
- Heavy, expressive headlines
- Strong visual impact
- Attention-grabbing character
## Default
`clean` — Universal, pairs well with most rendering styles.
## Rendering Compatibility
| Font × Rendering | flat-vector | hand-drawn | painterly | digital | pixel | chalk |
|------------------|:-----------:|:----------:|:---------:|:-------:|:-----:|:-----:|
| clean | ✓✓ | ✗ | ✗ | ✓✓ | ✓ | ✗ |
| handwritten | ✓ | ✓✓ | ✓✓ | ✓ | ✗ | ✓✓ |
| serif | ✓ | ✗ | ✓ | ✓✓ | ✗ | ✗ |
| display | ✓✓ | ✓ | ✓ | ✓✓ | ✓✓ | ✓ |
✓✓ = highly recommended | ✓ = compatible | ✗ = not recommended
## Type Compatibility
| Font × Type | hero | conceptual | typography | metaphor | scene | minimal |
|-------------|:----:|:----------:|:----------:|:--------:|:-----:|:-------:|
| clean | ✓ | ✓✓ | ✓✓ | ✓ | ✗ | ✓✓ |
| handwritten | ✓✓ | ✓ | ✓ | ✓✓ | ✓✓ | ✓ |
| serif | ✓ | ✓ | ✓✓ | ✓ | ✓ | ✓ |
| display | ✓✓ | ✓ | ✓✓ | ✓ | ✓ | ✗ |
## Palette Interaction
Font style adapts to palette characteristics:
| Palette Category | clean | handwritten | serif | display |
|------------------|-------|-------------|-------|---------|
| Warm (warm, earth, pastel) | Softer weight | Natural fit | Warm tones | Playful energy |
| Cool (cool, mono, elegant) | Perfect match | Contrast | Classic pairing | Bold statement |
| Dark (dark, vivid) | High contrast | Glow effects | Dramatic | Maximum impact |
| Vintage (retro) | Modern contrast | Nostalgic fit | Period-appropriate | Retro headlines |
## Auto Selection
When `--font` is omitted, select based on signals:
| Signals | Font |
|---------|------|
| Personal, lifestyle, human, warm, friendly, story | `handwritten` |
| Technical, professional, clean, modern, minimal, data | `clean` |
| Editorial, academic, luxury, classic, literary | `serif` |
| Announcement, entertainment, promotion, bold, event, gaming | `display` |
Default: `clean`
@@ -22,6 +22,7 @@
| `vector-illustration` | `retro` | `flat-vector` |
| `vintage` | `retro` | `hand-drawn` |
| `warm` | `warm` | `hand-drawn` |
| `warm-flat` | `warm` | `flat-vector` |
| `watercolor` | `earth` | `painterly` |
## Override Examples
@@ -2,22 +2,22 @@
## Purpose
Validate all 5 dimensions + aspect ratio.
Validate all 6 dimensions + aspect ratio.
## Skip Conditions
| Condition | Skipped Questions | Still Asked |
|-----------|-------------------|-------------|
| `--quick` flag | Type, Palette, Rendering, Text, Mood | **Aspect Ratio** (unless `--aspect` specified) |
| All 5 dimensions + `--aspect` specified | All | None |
| `quick_mode: true` in EXTEND.md | Type, Palette, Rendering, Text, Mood | **Aspect Ratio** (unless `--aspect` specified) |
| Otherwise | None | All 6 questions |
| `--quick` flag | Type, Palette, Rendering, Text, Mood, Font | **Aspect Ratio** (unless `--aspect` specified) |
| All 6 dimensions + `--aspect` specified | All | None |
| `quick_mode: true` in EXTEND.md | Type, Palette, Rendering, Text, Mood, Font | **Aspect Ratio** (unless `--aspect` specified) |
| Otherwise | None | All 7 questions |
**Important**: Aspect ratio is ALWAYS asked unless explicitly specified via `--aspect` CLI flag. User presets in EXTEND.md are shown as recommended option, not auto-selected.
## Quick Mode Output
When skipping 5 dimensions:
When skipping 6 dimensions:
```
Quick Mode: Auto-selected dimensions
@@ -26,8 +26,9 @@ Quick Mode: Auto-selected dimensions
• Rendering: [rendering] ([reason])
• Text: [text] ([reason])
• Mood: [mood] ([reason])
• Font: [font] ([reason])
[Then ask Question 6: Aspect Ratio]
[Then ask Question 7: Aspect Ratio]
```
## Confirmation Flow
@@ -91,7 +92,26 @@ options:
description: "Polished, precise, subtle gradients"
```
### Q4: Other Settings (skip if all remaining dimensions already specified)
### Q4: Font (skip if `--font`)
```yaml
header: "Font"
question: "Which font style?"
multiSelect: false
options:
- label: "[auto-recommended font] (Recommended)"
description: "[reason based on content signals]"
- label: "clean"
description: "Modern geometric sans-serif - tech, professional"
- label: "handwritten"
description: "Warm hand-lettered - personal, friendly"
- label: "serif"
description: "Classic elegant - editorial, luxury"
- label: "display"
description: "Bold decorative - announcements, entertainment"
```
### Q5: Other Settings (skip if all remaining dimensions already specified)
Combine remaining settings into one question. Include: Output Dir (if no preference + file path input), Text, Mood, Aspect. Show auto-selected values as recommended option. User can accept all or type adjustments via "Other".
@@ -26,6 +26,7 @@ Cover theme: [2-3 words visual interpretation]
Type: [confirmed type]
Palette: [confirmed palette]
Rendering: [confirmed rendering]
Font: [confirmed font]
Text level: [confirmed text level]
Mood: [confirmed mood]
Aspect ratio: [confirmed ratio]
@@ -44,6 +45,13 @@ Language: [confirmed language]
- balanced: "Use medium contrast, normal saturation, balanced visual weight"
- bold: "Use high contrast, vivid saturated colors, heavy visual weight, dynamic energy"
# Font Application
[Based on font style:]
- clean: "Use clean geometric sans-serif typography. Modern, minimal letterforms."
- handwritten: "Use warm hand-lettered typography with organic brush strokes. Friendly, personal feel."
- serif: "Use elegant serif typography with refined letterforms. Classic, editorial character."
- display: "Use bold decorative display typography. Heavy, expressive headlines."
# Composition
Type composition:
- [Type-specific layout and structure]
@@ -60,9 +68,15 @@ Palette notes: [key characteristics from palette definition]
[Watermark section if enabled]
[Reference images section if provided — see below]
[Reference images section if provided — REQUIRED, see below]
```
## Reference-Driven Design ⚠️ HIGH PRIORITY
When reference images are provided, they are the **primary visual input** and MUST strongly influence the output. The cover should look like it belongs to the same visual family as the references.
**Passing `--ref` alone is NOT enough.** Image generation models often ignore reference images unless the prompt text explicitly describes what to reproduce. Always combine `--ref` with detailed textual instructions.
## Content-Driven Design
- Article title and summary inform the visual metaphor choice
@@ -167,63 +181,67 @@ For each reference image, extract:
- **Color mood**: Palette characteristics (without specific colors)
- **Elements**: Key visual elements and symbols used
### Step 2: Embed in Prompt
### Step 2: Embed in Prompt ⚠️ CRITICAL
**If file saved AND skill supports `--ref`** (e.g., baoyu-image-gen with Google):
- Pass ref images directly via `--ref` parameter
- Add brief style note in prompt:
**Passing `--ref` alone is NOT enough.** Image generation models frequently ignore reference images unless the prompt text explicitly and forcefully describes what to reproduce. You MUST always write detailed textual instructions regardless of whether `--ref` is used.
**If file saved (with or without `--ref` support)**:
- Pass ref images via `--ref` parameter if skill supports it
- **ALWAYS** add a detailed mandatory section in the prompt body:
```
# Reference Style
Follow the visual style of the attached reference image(s):
- [1-2 sentence style summary from analysis]
# Reference Style — MUST INCORPORATE
CRITICAL: The generated cover MUST visually reference the provided images. The cover must feel like it belongs to the same visual family.
## From Ref 1 ([filename]) — REQUIRED elements:
- [Brand element]: [Specific description of logo/wordmark treatment, e.g., "The logo uses vertical parallel lines (|||) for the letter 'm'. Reproduce this exact treatment."]
- [Signature pattern]: [Specific description, e.g., "Woven intersecting curves forming a diamond/lozenge grid pattern. This MUST appear prominently as a banner, border, or background section."]
- [Colors]: [Exact hex values, e.g., "Dark teal #2D4A3E background, cream #F5F0E0 text"]
- [Typography]: [Specific treatment, e.g., "Uppercase text with wide letter-spacing"]
- [Layout element]: [Specific spatial element, e.g., "Bottom banner strip in dark color"]
## From Ref 2 ([filename]) — REQUIRED elements:
[Same detailed breakdown]
## Integration approach:
[Specific layout instruction describing how reference elements combine with the cover content, e.g., "Use a SPLIT LAYOUT: main illustration area (warm cream background) occupies ~65% of the image, while a dark teal BANNER STRIP (with the woven line pattern from Ref 2) runs along the bottom ~35%, containing branding elements from Ref 1."]
```
**If file saved BUT skill does NOT support `--ref`**:
- Embed detailed text description in prompt:
```
# Reference Style (Text Description)
Emulate the following visual style from reference image(s):
Reference 1: [filename]
- Style: [detailed rendering technique description]
- Composition: [layout and hierarchy description]
- Elements: [key visual elements used]
- Mood: [emotional tone and visual weight]
[Repeat for additional references]
Apply these style characteristics to the cover design while maintaining the specified Type, Palette, and Rendering dimensions.
```
**Key rules**:
- Each visual element gets its own bullet with "MUST" or "REQUIRED"
- Descriptions must be **specific enough to reproduce** — not vague ("clean style")
- The integration approach must describe **exact spatial arrangement**
- After generation, verify reference elements are visible; if not, strengthen and regenerate
**If style/palette extracted verbally (NO file saved)**:
- DO NOT add references metadata to prompt
- Append extracted info directly to prompt body:
- Append extracted info directly to prompt body using the same MUST INCORPORATE format above:
```
# Extracted Style (from reference)
# Reference Style — MUST INCORPORATE (extracted from visual analysis)
COLORS (from reference):
- Primary: #E8756D coral
- Secondary: #7ECFC0 mint
...
CRITICAL: Apply these specific visual elements extracted from the reference images.
STYLE (from reference):
- Clean lines, minimal shadows
- Gradient backgrounds
- Flat vector icons
...
## REQUIRED elements:
- [Same detailed bullet format as above]
## Integration approach:
[Same spatial layout instruction]
```
### Reference Analysis Template
Use this format when analyzing reference images:
Use this format when analyzing reference images. Extract **specific, concrete, reproducible** details — not vague summaries.
| Aspect | Analysis Points |
|--------|-----------------|
| **Rendering** | Line quality (clean/sketchy/painted), texture presence, depth treatment |
| **Composition** | Element placement, whitespace ratio, visual flow |
| **Typography** | Font style, text placement, hierarchy (if present) |
| **Elements** | Icon vocabulary, decorative motifs, character style |
| **Mood** | Contrast level, saturation, visual weight |
| Aspect | Analysis Points | Good Example | Bad Example |
|--------|-----------------|--------------|-------------|
| **Brand elements** | Logos, wordmarks, distinctive typography | "Logo 'm' formed by 3 vertical lines" | "Has a logo" |
| **Signature patterns** | Unique motifs, textures, geometric patterns | "Woven curves forming diamond grid" | "Has patterns" |
| **Colors** | Exact hex values or close approximations | "#2D4A3E dark teal, #F5F0E0 cream" | "Dark and light" |
| **Layout** | Spatial zones, banner placement, proportions | "Bottom 30% is dark banner with branding" | "Has a banner" |
| **Typography** | Font style, weight, case, spacing, position | "Uppercase, wide letter-spacing, right-aligned" | "Has text" |
| **Rendering** | Line quality, texture, depth treatment | "Topographic contour lines as background texture" | "Clean style" |
| **Elements** | Icon vocabulary, decorative motifs | "Geometric intersecting line ornaments at corners" | "Has decorations" |
**Output**: Each extracted element should be written as a **copy-pasteable prompt instruction** prefixed with "MUST" or "REQUIRED".
+15 -9
View File
@@ -41,7 +41,9 @@ test -f "$HOME/.baoyu-skills/baoyu-image-gen/EXTEND.md" && echo "user"
│ Not found │ Use defaults │
└───────────┴───────────────────────────────────────────────────────────────────────────┘
**EXTEND.md Supports**: Default provider | Default quality | Default aspect ratio
**EXTEND.md Supports**: Default provider | Default quality | Default aspect ratio | Default image size | Default models
Schema: `references/config/preferences-schema.md`
## Usage
@@ -58,9 +60,12 @@ npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "A cat" --image out.png --quali
# From prompt files
npx -y bun ${SKILL_DIR}/scripts/main.ts --promptfiles system.md content.md --image out.png
# With reference images (Google multimodal only)
# With reference images (Google multimodal or OpenAI edits)
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "Make blue" --image out.png --ref source.png
# With reference images (explicit provider/model)
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "Make blue" --image out.png --provider google --model gemini-3-pro-image-preview --ref source.png
# Specific provider
npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "A cat" --image out.png --provider openai
@@ -76,12 +81,12 @@ npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "一只可爱的猫" --image ou
| `--promptfiles <files...>` | Read prompt from files (concatenated) |
| `--image <path>` | Output image path (required) |
| `--provider google\|openai\|dashscope` | Force provider (default: google) |
| `--model <id>`, `-m` | Model ID |
| `--model <id>`, `-m` | Model ID (`--ref` with OpenAI requires GPT Image model, e.g. `gpt-image-1.5`) |
| `--ar <ratio>` | Aspect ratio (e.g., `16:9`, `1:1`, `4:3`) |
| `--size <WxH>` | Size (e.g., `1024x1024`) |
| `--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) |
| `--ref <files...>` | Reference images. Supported by Google multimodal and OpenAI edits (GPT Image models). If provider omitted: Google first, then OpenAI |
| `--n <count>` | Number of images |
| `--json` | JSON output |
@@ -99,13 +104,14 @@ npx -y bun ${SKILL_DIR}/scripts/main.ts --prompt "一只可爱的猫" --image ou
| `GOOGLE_BASE_URL` | Custom Google endpoint |
| `DASHSCOPE_BASE_URL` | Custom DashScope endpoint |
**Load Priority**: CLI args > env vars > `<cwd>/.baoyu-skills/.env` > `~/.baoyu-skills/.env`
**Load Priority**: CLI args > EXTEND.md > env vars > `<cwd>/.baoyu-skills/.env` > `~/.baoyu-skills/.env`
## Provider Selection
1. `--provider` specified → use it
2. Only one API key available → use that provider
3. Multiple available → default to Google
1. `--ref` provided + no `--provider` → auto-select Google first, then OpenAI
2. `--provider` specified → use it (if `--ref`, must be `google` or `openai`)
3. Only one API key available → use that provider
4. Multiple available → default to Google
## Quality Presets
@@ -155,7 +161,7 @@ Supported: `1:1`, `16:9`, `9:16`, `4:3`, `3:4`, `2.35:1`
- Missing API key → error with setup instructions
- Generation failure → auto-retry once
- Invalid aspect ratio → warning, proceed with default
- Reference images with non-multimodal model → warning, ignore refs
- Reference images with unsupported provider/model → error with fix hint (switch to Google multimodal or OpenAI GPT Image edits)
## Extension Support
@@ -0,0 +1,66 @@
---
name: preferences-schema
description: EXTEND.md YAML schema for baoyu-image-gen user preferences
---
# Preferences Schema
## Full Schema
```yaml
---
version: 1
default_provider: null # google|openai|dashscope|null (null = auto-detect)
default_quality: null # normal|2k|null (null = use default: 2k)
default_aspect_ratio: null # "16:9"|"1:1"|"4:3"|"3:4"|"2.35:1"|null
default_image_size: null # 1K|2K|4K|null (Google only, overrides quality)
default_model:
google: null # e.g., "gemini-3-pro-image-preview"
openai: null # e.g., "gpt-image-1.5"
dashscope: null # e.g., "z-image-turbo"
---
```
## Field Reference
| Field | Type | Default | Description |
|-------|------|---------|-------------|
| `version` | int | 1 | Schema version |
| `default_provider` | string\|null | null | Default provider (null = auto-detect) |
| `default_quality` | string\|null | null | Default quality (null = 2k) |
| `default_aspect_ratio` | string\|null | null | Default aspect ratio |
| `default_image_size` | string\|null | null | Google image size (overrides quality) |
| `default_model.google` | string\|null | null | Google default model |
| `default_model.openai` | string\|null | null | OpenAI default model |
| `default_model.dashscope` | string\|null | null | DashScope default model |
## Examples
**Minimal**:
```yaml
---
version: 1
default_provider: google
default_quality: 2k
---
```
**Full**:
```yaml
---
version: 1
default_provider: google
default_quality: 2k
default_aspect_ratio: "16:9"
default_image_size: 2K
default_model:
google: "gemini-3-pro-image-preview"
openai: "gpt-image-1.5"
dashscope: "z-image-turbo"
---
```
+148 -14
View File
@@ -1,8 +1,8 @@
import path from "node:path";
import process from "node:process";
import { homedir } from "node:os";
import { mkdir, readFile, writeFile } from "node:fs/promises";
import type { CliArgs, Provider } from "./types";
import { access, mkdir, readFile, writeFile } from "node:fs/promises";
import type { CliArgs, Provider, ExtendConfig } from "./types";
function printUsage(): void {
console.log(`Usage:
@@ -20,7 +20,7 @@ Options:
--size <WxH> Size (e.g., 1024x1024)
--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)
--ref <files...> Reference images (Google multimodal or OpenAI edits)
--n <count> Number of images (default: 1)
--json JSON output
-h, --help Show help
@@ -37,7 +37,7 @@ Environment variables:
GOOGLE_BASE_URL Custom Google endpoint
DASHSCOPE_BASE_URL Custom DashScope endpoint
Env file load order: CLI args > process.env > <cwd>/.baoyu-skills/.env > ~/.baoyu-skills/.env`);
Env file load order: CLI args > EXTEND.md > process.env > <cwd>/.baoyu-skills/.env > ~/.baoyu-skills/.env`);
}
function parseArgs(argv: string[]): CliArgs {
@@ -49,7 +49,7 @@ function parseArgs(argv: string[]): CliArgs {
model: null,
aspectRatio: null,
size: null,
quality: "2k",
quality: null,
imageSize: null,
referenceImages: [],
n: 1,
@@ -215,6 +215,87 @@ async function loadEnv(): Promise<void> {
}
}
function extractYamlFrontMatter(content: string): string | null {
const match = content.match(/^---\s*\n([\s\S]*?)\n---\s*$/m);
return match ? match[1] : null;
}
function parseSimpleYaml(yaml: string): Partial<ExtendConfig> {
const config: Partial<ExtendConfig> = {};
const lines = yaml.split("\n");
let currentKey: string | null = null;
for (const line of lines) {
const trimmed = line.trim();
if (!trimmed || trimmed.startsWith("#")) continue;
if (trimmed.includes(":") && !trimmed.startsWith("-")) {
const colonIdx = trimmed.indexOf(":");
const key = trimmed.slice(0, colonIdx).trim();
let value = trimmed.slice(colonIdx + 1).trim();
if (value === "null" || value === "") {
value = "null";
}
if (key === "version") {
config.version = value === "null" ? 1 : parseInt(value, 10);
} else if (key === "default_provider") {
config.default_provider = value === "null" ? null : (value as Provider);
} else if (key === "default_quality") {
config.default_quality = value === "null" ? null : (value as "normal" | "2k");
} else if (key === "default_aspect_ratio") {
const cleaned = value.replace(/['"]/g, "");
config.default_aspect_ratio = cleaned === "null" ? null : cleaned;
} else if (key === "default_image_size") {
config.default_image_size = value === "null" ? null : (value as "1K" | "2K" | "4K");
} else if (key === "default_model") {
config.default_model = { google: null, openai: null, dashscope: null };
currentKey = "default_model";
} else if (currentKey === "default_model" && (key === "google" || key === "openai" || key === "dashscope")) {
const cleaned = value.replace(/['"]/g, "");
config.default_model![key] = cleaned === "null" ? null : cleaned;
}
}
}
return config;
}
async function loadExtendConfig(): Promise<Partial<ExtendConfig>> {
const home = homedir();
const cwd = process.cwd();
const paths = [
path.join(cwd, ".baoyu-skills", "baoyu-image-gen", "EXTEND.md"),
path.join(home, ".baoyu-skills", "baoyu-image-gen", "EXTEND.md"),
];
for (const p of paths) {
try {
const content = await readFile(p, "utf8");
const yaml = extractYamlFrontMatter(content);
if (!yaml) continue;
return parseSimpleYaml(yaml);
} catch {
continue;
}
}
return {};
}
function mergeConfig(args: CliArgs, extend: Partial<ExtendConfig>): CliArgs {
return {
...args,
provider: args.provider ?? extend.default_provider ?? null,
quality: args.quality ?? extend.default_quality ?? null,
aspectRatio: args.aspectRatio ?? extend.default_aspect_ratio ?? null,
imageSize: args.imageSize ?? extend.default_image_size ?? null,
};
}
async function readPromptFromFiles(files: string[]): Promise<string> {
const parts: string[] = [];
for (const f of files) {
@@ -242,12 +323,26 @@ function normalizeOutputImagePath(p: string): string {
}
function detectProvider(args: CliArgs): Provider {
if (args.referenceImages.length > 0 && args.provider && args.provider !== "google" && args.provider !== "openai") {
throw new Error(
"Reference images require a ref-capable provider. Use --provider google (Gemini multimodal) or --provider openai (GPT Image edits)."
);
}
if (args.provider) return args.provider;
const hasGoogle = !!(process.env.GOOGLE_API_KEY || process.env.GEMINI_API_KEY);
const hasOpenai = !!process.env.OPENAI_API_KEY;
const hasDashscope = !!process.env.DASHSCOPE_API_KEY;
if (args.referenceImages.length > 0) {
if (hasGoogle) return "google";
if (hasOpenai) return "openai";
throw new Error(
"Reference images require Google or OpenAI. Set GOOGLE_API_KEY/GEMINI_API_KEY or OPENAI_API_KEY, or remove --ref."
);
}
const available = [hasGoogle && "google", hasOpenai && "openai", hasDashscope && "dashscope"].filter(Boolean) as Provider[];
if (available.length === 1) return available[0]!;
@@ -259,11 +354,34 @@ function detectProvider(args: CliArgs): Provider {
);
}
async function validateReferenceImages(referenceImages: string[]): Promise<void> {
for (const refPath of referenceImages) {
const fullPath = path.resolve(refPath);
try {
await access(fullPath);
} catch {
throw new Error(`Reference image not found: ${fullPath}`);
}
}
}
type ProviderModule = {
getDefaultModel: () => string;
generateImage: (prompt: string, model: string, args: CliArgs) => Promise<Uint8Array>;
};
function isRetryableGenerationError(error: unknown): boolean {
const msg = error instanceof Error ? error.message : String(error);
const nonRetryableMarkers = [
"Reference image",
"not supported",
"only supported",
"No API key found",
"is required",
];
return !nonRetryableMarkers.some((marker) => msg.includes(marker));
}
async function loadProviderModule(provider: Provider): Promise<ProviderModule> {
if (provider === "google") {
return (await import("./providers/google")) as ProviderModule;
@@ -283,9 +401,13 @@ async function main(): Promise<void> {
}
await loadEnv();
const extendConfig = await loadExtendConfig();
const mergedArgs = mergeConfig(args, extendConfig);
let prompt: string | null = args.prompt;
if (!prompt && args.promptFiles.length > 0) prompt = await readPromptFromFiles(args.promptFiles);
if (!mergedArgs.quality) mergedArgs.quality = "2k";
let prompt: string | null = mergedArgs.prompt;
if (!prompt && mergedArgs.promptFiles.length > 0) prompt = await readPromptFromFiles(mergedArgs.promptFiles);
if (!prompt) prompt = await readPromptFromStdin();
if (!prompt) {
@@ -295,27 +417,39 @@ async function main(): Promise<void> {
return;
}
if (!args.imagePath) {
if (!mergedArgs.imagePath) {
console.error("Error: --image is required");
printUsage();
process.exitCode = 1;
return;
}
const provider = detectProvider(args);
if (mergedArgs.referenceImages.length > 0) {
await validateReferenceImages(mergedArgs.referenceImages);
}
const provider = detectProvider(mergedArgs);
const providerModule = await loadProviderModule(provider);
const model = args.model || providerModule.getDefaultModel();
const outputPath = normalizeOutputImagePath(args.imagePath);
let model = mergedArgs.model;
if (!model && extendConfig.default_model) {
if (provider === "google") model = extendConfig.default_model.google ?? null;
if (provider === "openai") model = extendConfig.default_model.openai ?? null;
if (provider === "dashscope") model = extendConfig.default_model.dashscope ?? null;
}
model = model || providerModule.getDefaultModel();
const outputPath = normalizeOutputImagePath(mergedArgs.imagePath);
let imageData: Uint8Array;
let retried = false;
while (true) {
try {
imageData = await providerModule.generateImage(prompt, model, args);
imageData = await providerModule.generateImage(prompt, model, mergedArgs);
break;
} catch (e) {
if (!retried) {
if (!retried && isRetryableGenerationError(e)) {
retried = true;
console.error("Generation failed, retrying...");
continue;
@@ -328,7 +462,7 @@ async function main(): Promise<void> {
await mkdir(dir, { recursive: true });
await writeFile(outputPath, imageData);
if (args.json) {
if (mergedArgs.json) {
console.log(
JSON.stringify(
{
@@ -58,7 +58,9 @@ export async function generateImage(
if (!apiKey) throw new Error("DASHSCOPE_API_KEY is required");
if (args.referenceImages.length > 0) {
console.error("Warning: Reference images not yet supported with DashScope, ignoring.");
throw new Error(
"Reference images are not supported with DashScope provider in baoyu-image-gen. Use --provider google with a Gemini multimodal model."
);
}
const size = args.size ? normalizeSize(args.size) : getSizeFromAspectRatio(args.aspectRatio, args.quality);
@@ -216,13 +216,17 @@ export async function generateImage(
): Promise<Uint8Array> {
if (isGoogleImagen(model)) {
if (args.referenceImages.length > 0) {
console.error("Warning: Reference images not supported with Imagen models, ignoring.");
throw new Error(
"Reference images are not supported with Imagen models. Use gemini-3-pro-image-preview or gemini-3-flash-preview."
);
}
return generateWithImagen(prompt, model, args);
}
if (!isGoogleMultimodal(model) && args.referenceImages.length > 0) {
console.error("Warning: Reference images are only supported with Gemini multimodal models.");
throw new Error(
"Reference images are only supported with Gemini multimodal models. Use gemini-3-pro-image-preview or gemini-3-flash-preview."
);
}
return generateWithGemini(prompt, model, args);
@@ -1,9 +1,13 @@
import path from "node:path";
import { readFile } from "node:fs/promises";
import type { CliArgs } from "../types";
export function getDefaultModel(): string {
return process.env.OPENAI_IMAGE_MODEL || "gpt-image-1.5";
}
type OpenAIImageResponse = { data: Array<{ url?: string; b64_json?: string }> };
function parseAspectRatio(ar: string): { width: number; height: number } | null {
const match = ar.match(/^(\d+(?:\.\d+)?):(\d+(?:\.\d+)?)$/);
if (!match) return null;
@@ -66,20 +70,32 @@ export async function generateImage(
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 (args.referenceImages.length > 0) {
if (model.includes("dall-e-2") || model.includes("dall-e-3")) {
throw new Error(
"Reference images with OpenAI in this skill require GPT Image models. Use --model gpt-image-1.5 (or another gpt-image model)."
);
}
return generateWithOpenAIEdits(baseURL, apiKey, prompt, model, size, args.referenceImages, args.quality);
}
return generateWithOpenAIGenerations(baseURL, apiKey, prompt, model, size, args.quality);
}
async function generateWithOpenAIGenerations(
baseURL: string,
apiKey: string,
prompt: string,
model: string,
size: string,
quality: CliArgs["quality"]
): Promise<Uint8Array> {
const body: Record<string, any> = { model, prompt, size };
if (model.includes("dall-e-3")) {
body.quality = args.quality === "2k" ? "hd" : "standard";
body.quality = quality === "2k" ? "hd" : "standard";
}
const res = await fetch(`${baseURL}/images/generations`, {
@@ -96,7 +112,62 @@ export async function generateImage(
throw new Error(`OpenAI API error: ${err}`);
}
const result = (await res.json()) as { data: Array<{ url?: string; b64_json?: string }> };
const result = (await res.json()) as OpenAIImageResponse;
return extractImageFromResponse(result);
}
async function generateWithOpenAIEdits(
baseURL: string,
apiKey: string,
prompt: string,
model: string,
size: string,
referenceImages: string[],
quality: CliArgs["quality"]
): Promise<Uint8Array> {
const form = new FormData();
form.append("model", model);
form.append("prompt", prompt);
form.append("size", size);
if (model.includes("gpt-image")) {
form.append("quality", quality === "2k" ? "high" : "medium");
}
for (const refPath of referenceImages) {
const bytes = await readFile(refPath);
const filename = path.basename(refPath);
const mimeType = getMimeType(filename);
const blob = new Blob([bytes], { type: mimeType });
form.append("image[]", blob, filename);
}
const res = await fetch(`${baseURL}/images/edits`, {
method: "POST",
headers: {
Authorization: `Bearer ${apiKey}`,
},
body: form,
});
if (!res.ok) {
const err = await res.text();
throw new Error(`OpenAI edits API error: ${err}`);
}
const result = (await res.json()) as OpenAIImageResponse;
return extractImageFromResponse(result);
}
function getMimeType(filename: string): string {
const ext = path.extname(filename).toLowerCase();
if (ext === ".jpg" || ext === ".jpeg") return "image/jpeg";
if (ext === ".webp") return "image/webp";
if (ext === ".gif") return "image/gif";
return "image/png";
}
async function extractImageFromResponse(result: OpenAIImageResponse): Promise<Uint8Array> {
const img = result.data[0];
if (img?.b64_json) {
+14 -1
View File
@@ -9,10 +9,23 @@ export type CliArgs = {
model: string | null;
aspectRatio: string | null;
size: string | null;
quality: Quality;
quality: Quality | null;
imageSize: string | null;
referenceImages: string[];
n: number;
json: boolean;
help: boolean;
};
export type ExtendConfig = {
version: number;
default_provider: Provider | null;
default_quality: Quality | null;
default_aspect_ratio: string | null;
default_image_size: "1K" | "2K" | "4K" | null;
default_model: {
google: string | null;
openai: string | null;
dashscope: string | null;
};
};
@@ -120,22 +120,28 @@ export async function convertMarkdown(markdownPath: string, options?: { title?:
const { frontmatter, body } = parseFrontmatter(content);
let title = options?.title ?? frontmatter.title ?? '';
let bodyWithoutTitle = body;
if (!title) {
const lines = body.split('\n');
for (const line of lines) {
const trimmed = line.trim();
if (!trimmed) continue;
const headingMatch = trimmed.match(/^#{1,2}\s+(.+)$/);
if (headingMatch) title = headingMatch[1]!;
if (headingMatch) {
title = headingMatch[1]!;
bodyWithoutTitle = body.replace(/^#{1,2}\s+.+\r?\n?/, '');
}
break;
}
} else {
bodyWithoutTitle = body.replace(/^#{1,2}\s+.+\r?\n?/, '');
}
if (!title) title = path.basename(markdownPath, path.extname(markdownPath));
const author = frontmatter.author || '';
let summary = frontmatter.description || frontmatter.summary || '';
if (!summary) {
const lines = body.split('\n');
const lines = bodyWithoutTitle.split('\n');
for (const line of lines) {
const trimmed = line.trim();
if (!trimmed) continue;
@@ -161,7 +167,7 @@ export async function convertMarkdown(markdownPath: string, options?: { title?:
const images: Array<{ src: string; placeholder: string }> = [];
let imageCounter = 0;
const modifiedBody = body.replace(/!\[([^\]]*)\]\(([^)]+)\)/g, (match, alt, src) => {
const modifiedBody = bodyWithoutTitle.replace(/!\[([^\]]*)\]\(([^)]+)\)/g, (match, alt, src) => {
const placeholder = `WECHATIMGPH_${++imageCounter}`;
images.push({ src, placeholder });
return placeholder;
@@ -374,7 +374,7 @@ export function initRenderer(opts: IOpts = {}): RendererAPI {
listCounters[listCounters.length - 1] = idx + 1;
const prefix = ordered ? `${idx}. ` : "• ";
const prefix = ordered ? "" : "• ";
let content: string;
try {
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