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Upscalar with Tiled Diffusion

Upscalar with Tiled Diffusion

About

This is the scalar presented by @philz1337x where he combines MultiDiffusion, ControlNet tiles and details LoRas to obtain an interesting upscalar similar to Magnific's AI. The purpose of this article is to simply illustrate his technique when using Automatic1111

Steps

  1. Switch to img2img

    1. Enter positive and negative prompts

      1. masterpiece, best quality, highres, <lora:more_details:0.7> <lora:SDXLrender_v2.0:1>

      2. (worst quality, low quality, normal quality:2) JuggernautNegative-neg

  2. Use the following settings
    Steps: 18
    Sampler: DPM++ 3M SDE Karras
    CFG Scale: 6
    Size: 1024x1024
    Model: juggernaut_reborn
    Denoising Strength: 0.35

  3. Enable Tiled Diffussion, configure as follows
    Upscalar: 4x-UltraSharp
    Tiled Diffusion: MultiDiffusion
    Tile tile width: 112
    Tile tile height: 144
    Tile Overlap: 4
    Tile batch size: 8
    Upscale factor: 2
    Keep input size: true


    (https://github.com/pkuliyi2015/multidiffusion-upscaler-for-automatic1111)

  4. Enable ControlNet 0, configure as follows
    Module: tile_resample
    Model: control_v11f1e_sd15_tile
    Weight: 0.6
    Resize Mode: 1
    Low VRam: False
    Pixel Perfect: True

  5. Drop an image on img2img

    1. Start with a 768x768 image, this process is memory hungry.

  6. Generate

15

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