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ThinkDiffusion
⚡️Nano Banana 2 ⚡️ just landed. Start creating now.

Batch Image Upscaler

Max 50 images upscale at once

21

Generates in about -- secs

Nodes & Models

DualCLIPLoader
t5xxl_fp16.safetensors
clip_l.safetensors
Note
VAELoader
ae.safetensors
UNETLoader
flux1-dev-fp8.safetensors
KSamplerSelect
Label (rgthree)
ControlNetLoader
FLUX.1/flux_shakker_labs_union_pro-2.0.safetensors
UpscaleModelLoader
4x-ClearRealityV1.pth
CLIPTextEncode
SetUnionControlNetType
FluxGuidance
PreviewImage
ControlNetApplyAdvanced
SaveImage
Load Image Batch
DetailDaemonSamplerNode
AIO_Preprocessor
AIO_Preprocessor
UltimateSDUpscaleCustomSample

Batch Image Upscaler (Up to 50 files per click)

This workflow upscales a folder of images in batch using the same upscale settings for every file. It’s designed for production-style “drop a set of images → run once → get a matching set of upscaled outputs.”

What it does

  • Loads images from an inputs folder in sequence

  • Runs the upscaling pipeline on each image (same settings each time)

  • Saves one upscaled output per input image into the outputs folder

How to use

  1. Open My Files → inputs and upload your images into a folder (example: inputs/upscale_batch/).

  2. In the workflow, set the Load Image Batch folder path to your uploaded folder.

  3. Set your Queue/Run count to the number of files you want processed (recommended: max 50 per batch).

  4. Click Run. The workflow will process one image per queued run and write outputs automatically.

Read more

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