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Floyo
Floyo
Workflows
API
Pricing

Upscaling Images to 4k using Qwen Image Edit 2511

Upscale to 2k to 4k

1.5k

Generates in about 33 secs

Nodes & Models

VAELoader
UNETLoader
EmptyLatentImage
CLIPLoader
LoadImage
LoraLoaderModelOnly
CLIPTextEncode
TextEncodeQwenImageEditPlus
KSampler
VAEDecode
PreviewImage
ImageConcanate
ImageConcanate

Upscaling with Qwen Image Edit 2511 plus an upscale LoRA is about using the edit model as a smart super‑res engine: it enlarges the image while reconstructing detail, not just stretching pixels.​

Overview

Qwen Image Edit 2511 already supports high native resolutions (around 2.5K square) and image‑to‑image editing, which makes it suitable for “edit = upscale” tasks. Community upscale LoRAs plug into this base to specialize it for 2K+ enlargement, sharpening, and deblurring, while preserving colors, lighting, and overall composition.​​

Why use this approach

  • Produces cleaner, more natural high‑res results than simple interpolators, recovering fine edges, textures, and small details.​

  • Lets you phrase upscale as an edit (“upscale / sharpen / unblur, keep the same look”), so the model respects content instead of restyling it.​

  • Can chain with other Qwen LoRAs (style, character, pose) in one pass, so you refine design and resolution at the same time.​​

Use cases

  • Enlarging thumbnails or mid‑res AI renders to ~2K–4K while cleaning blur and noise for print, close‑up crops, or video backgrounds.​​

  • Restoring low‑quality or compressed images by upscaling and deblurring without creating overly plastic, over‑sharpened artifacts.​

  • Preparing high‑resolution stills for downstream pipelines (I2V, camera‑angle edits, or further compositing) that benefit from extra detail headroom.

Read more

N
j
jacharro
3 months ago
Thanks

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