qwen-edit
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.
- License 许可
- MIT
- 最近更新
- 2026-10-01
- Stars
- ★ 1
- Forks
- 0
01 前言 Front Matter
- name
- qwen-edit
- description
- 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.
02 资源文件 5
- 参考文档examples.md6.6 KB
- 许可证LICENSE1.0 KB
- 参考文档parameters.md2.8 KB
- 参考文档prompting.md2.9 KB
- 参考文档UPSTREAM.md806 B
03 SKILL.md 正文
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
uv run tools/image_edit.py --input photo.jpg --prompt "Add sunglasses"
# With negative prompt (recommended)
uv run tools/image_edit.py --input photo.jpg \
--prompt "Reframe as portrait with full head visible" \
--negative "blur, distortion, artifacts"
# Style transfer
uv run tools/image_edit.py --input photo.jpg --style cyberpunk
# Background (use cautiously - often fails)
uv run tools/image_edit.py --input photo.jpg --background office
# Higher quality
uv run tools/image_edit.py --input photo.jpg --prompt "..." --steps 16 --guidance 3.0
# Multi-image composite (identity-preserving)
uv run 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 structureexamples.md- Good/bad examples from experimentsparameters.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
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