qwen-edit
Original:🇺🇸 English
Translated
AI image editing prompting patterns for Qwen-Image-Edit. Use when editing photos while preserving identity, reframing cropped images, changing clothing or accessories, adjusting poses, applying style transfers, or character transformations. Provides prompt patterns, parameter tuning, and examples.
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NPX Install
npx skill4agent add digitalsamba/claude-code-video-toolkit qwen-editTags
Translated version includes tags in frontmatterSKILL.md Content
View Translation Comparison →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
bash
# 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 2.0Key Files
- - Prompt patterns and structure
prompting.md - - Good/bad examples from experiments
examples.md - - Tuning steps, guidance, negative prompts
parameters.md
Tool Location
tools/image_edit.pyRelated Docs
- - Character transformation patterns
docs/qwen-edit-patterns.md - - Research notes
.ai_dev/qwen-edit-research.md