ComfyUI Official
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ComfyUI is a versatile graphical interface for building and managing complex Stable Diffusion workflows, utilizing a node-based system for enhanced user experience and flexibility.
87939
2025-09-09
Qwen Image Edit 2511 Restore Damage Old Photograph
Image2Image
Qwen
Qwen Image Edit 2511
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Overview
Qwen Image Edit 2511 is an updated image‑editing diffusion model with better character consistency, integrated LoRA support, and tools that specifically help with tasks such as old photo restoration, relighting, and style correction. For restoration, you feed in the damaged scan and use a prompt like “restore and repair an old, blurry, heavily damaged photo, sharpen subjects, remove scratches, tears, stains, and noise, keep original composition and faces,” and the model outputs a cleaned, re‑constructed version that often feels like a modern reprint of the same scene.
What it can fix
With a good scan, Qwen Image Edit is able to:
Remove dust, grain, scratches, creases, tape marks, and paper tears while smoothing surface damage.
Rebuild small missing areas and fill cracks, especially around edges and backgrounds, while trying to keep faces and key details recognizable.
Enhance sharpness and contrast, optionally add realistic color to black‑and‑white photos, and correct fading or yellowing from age.
The 2511 update focuses on keeping identities and details more stable across edits, which is important when restoring family portraits and historical photos.
Who can use it
Photo restoration with Qwen Image Edit 2511 is useful for:
Families and archivists digitizing prints and wanting cleaner versions of heirloom photos with minimal manual retouching.
Photographers, studios, and restoration services who need a strong AI starting point before fine‑tuning details in Photoshop, Krita, or GIMP.
Historians, museums, and educators who use restored imagery in exhibits, books, or documentaries while trying to preserve authenticity.
ComfyUI and pipeline users building semi‑automatic workflows that batch‑restore multiple photos, then send results to upscalers or color grading nodes.
Use case and workflow idea
A practical workflow looks like this:
Scan or photograph the old print at high resolution, then load it into a ComfyUI or app workflow built for Qwen Image Edit 2511.
Use a restoration prompt such as “restore and repair this old damaged photo, remove stains, scratches, lines, and noise, reconstruct missing areas, keep faces and composition, natural modern look,” and run with 2511 plus a Lightning/fast LoRA for 4–8 sampling steps.
Inspect the result: if backgrounds or tiny details changed too much, you can rerun with a slightly higher CFG / more steps, or finish with light manual edits (healing brush, cloning) to fix any remaining artifacts and crop or frame as desired.
Used this way, Qwen Image Edit 2511 becomes a near one‑click base restoration that saves most of the heavy repair work, leaving you only subtle corrections to get a final, print‑ready restored photo.
Read more
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EXTENSIONS
Nodes & Models
Overview
Qwen Image Edit 2511 is an updated image‑editing diffusion model with better character consistency, integrated LoRA support, and tools that specifically help with tasks such as old photo restoration, relighting, and style correction. For restoration, you feed in the damaged scan and use a prompt like “restore and repair an old, blurry, heavily damaged photo, sharpen subjects, remove scratches, tears, stains, and noise, keep original composition and faces,” and the model outputs a cleaned, re‑constructed version that often feels like a modern reprint of the same scene.
What it can fix
With a good scan, Qwen Image Edit is able to:
Remove dust, grain, scratches, creases, tape marks, and paper tears while smoothing surface damage.
Rebuild small missing areas and fill cracks, especially around edges and backgrounds, while trying to keep faces and key details recognizable.
Enhance sharpness and contrast, optionally add realistic color to black‑and‑white photos, and correct fading or yellowing from age.
The 2511 update focuses on keeping identities and details more stable across edits, which is important when restoring family portraits and historical photos.
Who can use it
Photo restoration with Qwen Image Edit 2511 is useful for:
Families and archivists digitizing prints and wanting cleaner versions of heirloom photos with minimal manual retouching.
Photographers, studios, and restoration services who need a strong AI starting point before fine‑tuning details in Photoshop, Krita, or GIMP.
Historians, museums, and educators who use restored imagery in exhibits, books, or documentaries while trying to preserve authenticity.
ComfyUI and pipeline users building semi‑automatic workflows that batch‑restore multiple photos, then send results to upscalers or color grading nodes.
Use case and workflow idea
A practical workflow looks like this:
Scan or photograph the old print at high resolution, then load it into a ComfyUI or app workflow built for Qwen Image Edit 2511.
Use a restoration prompt such as “restore and repair this old damaged photo, remove stains, scratches, lines, and noise, reconstruct missing areas, keep faces and composition, natural modern look,” and run with 2511 plus a Lightning/fast LoRA for 4–8 sampling steps.
Inspect the result: if backgrounds or tiny details changed too much, you can rerun with a slightly higher CFG / more steps, or finish with light manual edits (healing brush, cloning) to fix any remaining artifacts and crop or frame as desired.
Used this way, Qwen Image Edit 2511 becomes a near one‑click base restoration that saves most of the heavy repair work, leaving you only subtle corrections to get a final, print‑ready restored photo.
Read more