Qwen Edit
Documentsqwen-editQwen Edit is an Agent Skill for documents published in the digitalsamba/claude-code-video-toolkit repository on GitHub: a SKILL.md instruction file an AI agent can load to do this task.
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.
How to use this skill
Bring this guide into your coding agent with a prompt tailored to the tool you use.
- Open your project in Codex.
- Copy and paste the prompt below.
- Review files and risks before approving any action.
Inspect the Agent Skill at https://github.com/digitalsamba/claude-code-video-toolkit/blob/HEAD/.claude/skills/qwen-edit/SKILL.md and all supporting files. Report provenance, permissions, scripts, dependencies, and security risks. Propose an exact installation into .agents/skills/qwen-edit, but wait for my approval before writing files or running scripts.
Copying this prompt does not install or run the skill. Review third-party files before use.
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 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