🦀 ClawHub
Pixel Asset Pipeline
by @muxueqingze
AI pixel art sprite generation + processing pipeline for Godot games. Generate sprite sheets with Seedream, auto-process into Godot-ready assets (hframes, tr...
TERMINAL
clawhub install pixel-asset-pipeline📖 About This Skill
name: pixel-asset-pipeline description: AI pixel art sprite generation + processing pipeline for Godot games. Generate sprite sheets with Seedream, auto-process into Godot-ready assets (hframes, transparent PNG). metadata: { "openclaw": { "emoji": "🎮", "requires": { "bins": ["python"] } } }
🎮 Pixel Asset Pipeline
AI 生成像素游戏素材 → 自动处理为 Godot 可用格式。
Pipeline 概览
Prompt → AI生图(Seedream) → 去背景 → 切帧 → NEAREST缩放 → Godot sprite sheet + 单帧PNG
依赖
pip install Pillow)Quick Start
# 1. 处理已有的大图
python scripts/process_sprite_sheet.py raw_sprite.png --output-dir ./out --target-size 48 --cols 42. 批量生成+处理
python scripts/batch_generate.py references/sample_config.json
支持的生成后端
| 后端 | 脚本 | 说明 |
|------|------|------|
| Seedream (默认) | lumi-work/脚本/生图/seedream_generate.py | 2048x2048,效果好 |
| 通义万相 | lumi-work/脚本/生图/wanx_generate.py | 备选 |
| Gemini | OpenClaw image_generate | 备选 |
输出格式
{name}_spritesheet.png — 横排 sprite sheet,Godot 设置 hframes=N 即可frames/{name}_frame_00.png ~ _frame_XX.png — 单帧透明 PNGPrompt 技巧
像素风 prompt 模板(英文效果最佳):
16-bit pixel art sprite sheet, [角色/物品描述], top-down RPG, [N] frames, white background, clean outline, no shading
示例:
16-bit pixel art sprite sheet, green slime monster, top-down RPG, 4 frames idle animation, white backgroundpixel art, silver sword with blue glow, 16x16 icon, white background, game assetpixel art tileset, grass and dirt path, top-down RPG, seamless tiles, white background关键后缀:加 white background 或 black background 确保可去背景。
完整使用示例
1. 用 Seedream 生成:
python lumi-work/脚本/生图/seedream_generate.py "16-bit pixel art sprite sheet, red dragon, 4 frames, white background" dragon_raw.png ""
2. 处理为 Godot 素材:
python scripts/process_sprite_sheet.py dragon_raw.png --output-dir ./game_assets/dragon --target-size 64 --cols 4
3. 在 Godot 中:Texture2D → Hframes = 4,搞定。
scripts/
process_sprite_sheet.py — 单图处理(去背景→切帧→缩放→输出)batch_generate.py — 批量生成+处理(读JSON配置)💡 Examples
# 1. 处理已有的大图
python scripts/process_sprite_sheet.py raw_sprite.png --output-dir ./out --target-size 48 --cols 42. 批量生成+处理
python scripts/batch_generate.py references/sample_config.json