qwen-edit

📁 digitalsamba/claude-code-video-toolkit 📅 Jan 28, 2026
35
总安装量
14
周安装量
#10626
全站排名
安装命令
npx skills add https://github.com/digitalsamba/claude-code-video-toolkit --skill qwen-edit

Agent 安装分布

claude-code 13
opencode 11
cursor 10
codex 9
gemini-cli 8

Skill 文档

Qwen-Image-Edit Skill

AI-powered image editing using Qwen-Image-Edit-2511 via RunPod serverless.

Status: Evolving – learnings being captured as we experiment

When to Use This Skill

Use when the user wants to:

  • Edit/transform photos while preserving identity
  • Reframe cropped images (fix cut-off heads, etc.)
  • Change clothing, add accessories
  • Change pose (arm positions, hand placement)
  • Apply style transfers (cyberpunk, anime, oil painting)
  • Adjust lighting/color grading
  • Add/remove objects
  • Character transformations (Bond, Neo, etc.)

When NOT to Use

  • Background replacement (single image) – creates cut-out artifacts, halos
  • Face swapping – cannot preserve identity from reference
  • Outpainting – can’t extend canvas reliably

Use With Care

  • Multi-image compositing – CAN work with explicit identity anchors (see examples.md for prompt patterns). Requires describing distinctive features (hair texture/color, ethnicity, outfit) and using guidance ~2.0
  • Camera angle changes – Inconsistent results. Vertical angles (low/high) work better than rotational (three-quarter view)

Quick Reference

# Basic edit
python tools/image_edit.py --input photo.jpg --prompt "Add sunglasses"

# With negative prompt (recommended)
python tools/image_edit.py --input photo.jpg \
  --prompt "Reframe as portrait with full head visible" \
  --negative "blur, distortion, artifacts"

# Style transfer
python tools/image_edit.py --input photo.jpg --style cyberpunk

# Background (use cautiously - often fails)
python tools/image_edit.py --input photo.jpg --background office

# Higher quality
python tools/image_edit.py --input photo.jpg --prompt "..." --steps 16 --guidance 3.0

# Multi-image composite (identity-preserving)
python tools/image_edit.py --input person.jpg background.jpg \
  --prompt "The [ethnicity] [gender] with [hair description] from first image is now in [scene] from second image. Same [features], [outfit]." \
  --negative "different ethnicity, different hair color, different face shape, generic stock photo" \
  --steps 16 --guidance 2.0

Key Files

  • prompting.md – Prompt patterns and structure
  • examples.md – Good/bad examples from experiments
  • parameters.md – Tuning steps, guidance, negative prompts

Tool Location

tools/image_edit.py – CLI wrapper for RunPod endpoint

Related Docs

  • docs/qwen-edit-patterns.md – Character transformation patterns
  • .ai_dev/qwen-edit-research.md – Research notes