qwen-edit▌
digitalsamba/claude-code-video-toolkit · updated Apr 8, 2026
AI-powered image editing using Qwen-Image-Edit-2511 via RunPod serverless.
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
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★48 reviews- ★★★★★Liam Sethi· Dec 20, 2024
Useful defaults in qwen-edit — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Chaitanya Patil· Dec 16, 2024
qwen-edit reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Chinedu Patel· Dec 16, 2024
I recommend qwen-edit for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Min Martinez· Dec 8, 2024
qwen-edit reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Liam Reddy· Nov 27, 2024
I recommend qwen-edit for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Hana Mensah· Nov 27, 2024
Keeps context tight: qwen-edit is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Olivia Bansal· Nov 11, 2024
Registry listing for qwen-edit matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Piyush G· Nov 7, 2024
I recommend qwen-edit for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Soo Sethi· Nov 7, 2024
qwen-edit reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Shikha Mishra· Oct 26, 2024
Useful defaults in qwen-edit — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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