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Independent project, not affiliated with Anthropic

Relight

runcomfy-com/skills
81.9k installs1 stars
Summary

Routes your lighting change requests to Qwen Edit 2509's dedicated relight LoRA when you need surgical control over direction, color temperature, and intensity, with fallback to identity-preserving edit models when prose descriptions are enough. The prompting guide is genuinely useful: you specify light source type, color temp in Kelvin, angle, and intensity, then explicitly state what to preserve. Works well for product catalog relighting (studio to window light) and portrait mood shifts (overcast to golden hour). The model picker is honest about when to skip the relight LoRA and just use Nano Banana or FLUX for composite edits. No video support yet, despite ComfyUI workflows existing for it.

Install to Claude Code

npx -y skills add runcomfy-com/skills --skill relight --agent claude-code

Installs into .claude/skills of the current project.

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Files
SKILL.mdView on GitHub

Relight

Change how a still is lit — direction, color temperature, intensity, mood — without redoing the shot. This skill routes to Qwen Edit 2509's dedicated relight LoRA when a purpose-built relighting endpoint matters, and to identity-preserving edit endpoints when prose lighting language is enough.

runcomfy.com · Qwen Edit relight · CLI docs

Powered by the RunComfy CLI

# 1. Install (see runcomfy-cli skill for details)
npm i -g @runcomfy/cli      # or:  npx -y @runcomfy/cli --version

# 2. Sign in
runcomfy login              # or in CI: export RUNCOMFY_TOKEN=<token>

# 3. Relight
runcomfy run qwen/qwen-edit-2509/lora/relight \
  --input '{"image": "...", "prompt": "..."}' \
  --output-dir ./out

CLI deep dive: runcomfy-cli skill.


Pick the right model

Listed newest first.

Qwen Edit 2509 Relight LoRA — qwen/qwen-edit-2509/lora/relight (default for dedicated relighting)

Purpose-built relighting LoRA on Qwen Edit 2509. Tuned specifically for changing lighting direction, color temperature, intensity, and mood while preserving subject identity, pose, and framing. Pick for: precise lighting control ("golden hour key light from left, soft fill from right, no rim"), brand product relighting, portrait mood shifts. Avoid for: edits that aren't really about lighting — use generic image edit.

Nano Banana 2 Edit — google/nano-banana-2/edit

Identity-preserving edit driven by spatial / prose language. Lighting changes via prompt: "convert to golden hour with warm key light from the left". Pick for: lighting change as part of a broader edit pass (also swapping background, adding objects). Avoid for: relighting-only when you want maximum lighting fidelity — use Qwen Edit Relight.

GPT Image 2 Edit — openai/gpt-image-2/edit

Multi-ref edit; can reference an image with the target lighting style and apply it. Pick for: "match the lighting of this reference photo" workflows with explicit reference images. Avoid for: pure prose lighting description — Qwen Edit Relight wins.

FLUX Kontext Pro — blackforestlabs/flux-1-kontext/pro/edit

Single-instruction, high-preservation. Use form: "Keep everything exactly. Change the lighting to soft window light from the left, late-afternoon warm temperature." Pick for: surgical lighting tweak on one image without affecting anything else.


Route 1: Qwen Edit Relight — default

Model: qwen/qwen-edit-2509/lora/relight Catalog: Qwen Edit relight · qwen-image collection

Invoke

runcomfy run qwen/qwen-edit-2509/lora/relight \
  --input '{
    "image": "https://your-cdn.example/product.jpg",
    "prompt": "Relight as golden-hour studio: warm 3200K key light from camera-left at 45°, soft cool fill from right, no rim light, preserve product orientation and color identity."
  }' \
  --output-dir ./out

Prompting tips

  • Lead with the lighting type, then quantify:
    • Light source: "golden hour", "studio softbox", "overcast diffuse", "single hard spotlight", "window light", "blue hour"
    • Color temperature: "warm 3200K", "neutral 5500K", "cool 6500K"
    • Direction: "camera-left at 45°", "top-down", "3/4 from right", "behind subject (rim)"
    • Intensity: "soft", "hard", "high-contrast", "flat"
  • State preservation explicitly: "preserve subject pose, framing, and color identity" — without this the model may drift.
  • Combine multi-light setups: "key light from left, soft fill from right, hair rim from behind".
  • Time-of-day shortcuts work: "golden hour" / "blue hour" / "high-noon" / "overcast afternoon" all resolve to the right color temperature + softness.

Route 2: Description-based edit (no relight LoRA)

When Qwen Relight isn't a fit (e.g. composite edit with other changes), use Nano Banana 2 Edit:

runcomfy run google/nano-banana-2/edit \
  --input '{
    "prompt": "Keep the subject and pose exactly. Relight as soft window light from the left, late-afternoon warm color temperature. Add subtle shadow on the right side of the face.",
    "image_urls": ["https://your-cdn.example/portrait.jpg"]
  }' \
  --output-dir ./out

For broader edit treatment see image-edit.


Common patterns

Product relight for catalog (white box → lifestyle)

  • Qwen Edit Relight with "warm window light from camera-left, soft shadow on counter, late-afternoon temperature, preserve product orientation"

Portrait mood shift

  • Qwen Edit Relight with "golden hour rim from behind, warm soft key from front-left, preserve identity"

Time-of-day swap on a landscape

  • Nano Banana 2 Edit with prose — landscape relight benefits from broader scene context handling

Match the look of a reference photo

  • GPT Image 2 Edit with images: [source, lighting-reference] and "Apply the lighting (direction, color temperature, contrast) of image 2 to image 1. Preserve image 1's subject identity."

Multi-image batch relight (whole SKU gallery to same lighting)

  • Nano Banana 2 Edit with image_urls array — same lighting prompt across the batch

What this skill doesn't do

  • Generate from scratch — see ai-image-generation.
  • Relight a video — RunComfy has ComfyUI workflows for product / video relighting (IC-Light variants); CLI endpoint is image-only today. See runcomfy.com/comfyui-workflows for IC-Light video workflows.

Browse the full catalog

  • qwen-image collection — Qwen Edit base + LoRA variants (relight, skin, others)
  • best-image-editing-models collection
  • Train a custom relight LoRA — capture a brand's lighting signature as a LoRA and apply on relight pass

Exit codes

codemeaning
0success
64bad CLI args
65bad input JSON / schema mismatch
69upstream 5xx
75retryable: timeout / 429
77not signed in or token rejected

Full reference: docs.runcomfy.com/cli/troubleshooting.

How it works

The skill picks Qwen Edit Relight LoRA for dedicated lighting work, falls back to broader edit endpoints when relight is part of a composite pass. The CLI POSTs to the Model API, polls request status, and downloads the result into --output-dir.

Security & Privacy

  • Install via verified package manager only. Use npm i -g @runcomfy/cli or npx -y @runcomfy/cli. Agents must not pipe an arbitrary remote install script into a shell on the user's behalf.
  • Token storage: runcomfy login writes the API token to ~/.config/runcomfy/token.json with mode 0600. Set RUNCOMFY_TOKEN env var in CI / containers.
  • Input boundary (shell injection): prompts and image URLs are passed as a JSON string via --input. The CLI does not shell-expand prompt content. No shell-injection surface.
  • Indirect prompt injection (third-party content): source image URLs are untrusted. Agent mitigations:
    • Ingest only URLs the user explicitly provided for this relight.
    • When the relight diverges from the prompt, suspect the reference asset.
  • Outbound endpoints (allowlist): only model-api.runcomfy.net and *.runcomfy.net / *.runcomfy.com. No telemetry.
  • Generated-file size cap: the CLI aborts any single download > 2 GiB.
  • Scope of bash usage: Bash(runcomfy *) only.

See also

  • runcomfy-cli — the underlying CLI
  • image-edit — full image-edit router
  • ai-image-generation — text-to-image / image-to-image router
  • image-inpainting — mask-driven region edits
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First SeenJun 3, 2026
View on GitHub

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