HR Beautify (‘HR’ stands for Hires, or High resolution) is an advanced Krita AI custom workflow to refine upscaled images. It doesn’t include the usual upscale with AI model component. Instead, it concentrates on...
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Quellenbeschreibung
HR Beautify (‘HR’ stands for Hires, or High resolution) is an advanced Krita AI custom workflow to refine upscaled images. It doesn’t include the usual upscale with AI model component. Instead, it concentrates on best refinement of raw-upscaled hires images possible, optionally beautifying them with a style transfer. Thereby the workflow extends the plugin's functionality which it lacks in the hires department.
The workflow includes two ControlNets, for the most powerful and flexible img2img guidance, and two IP Adapters, to enhance images with style transfer and composition or reference guidance. The models for these components, as well as for Clip Vision, can all be customized. Also included in the workflow are two post processing components: enhancing image’s HDR range and advanced image sharpening.
The tiling component that enables hires img2img refining is the widely used Tiled Diffusion (TD), together with Tiled VAE Encode & Decode. TD is compatible with all ControlNet models and can assist in processing images of up to 24K resolution, optionally adding creative detail in the output along the way.
KI-generierter Kommentar
KI-generierte Erklärung auf Grundlage von Quellen- und Konfigurationsdetails. Vorschläge sind klar gekennzeichnet.
Use HR Beautify in Krita to refine an already upscaled hires image into a refined hires image with tiled high-resolution img2img processing, optional style transfer, composition or reference guidance, creative detail, HDR enhancement, and advanced sharpening.
Tiled Diffusion works with Tiled VAE Encode and Decode for hires img2img refinement, while two ControlNets provide img2img guidance and two IP Adapters support style, composition, or reference guidance.
The workflow includes post-processing for HDR range enhancement and advanced image sharpening.
Input: a raw-upscaled hires image; the usual AI upscaling component is not included.
Output: a refined hires image that may include style transfer, creative detail, HDR range enhancement, and advanced sharpening.
This Krita AI workflow uses SDXL 1.0 and is published by Minsky91.
Model files named for the workflow are CLIP-ViT-H-14-laion2B-s32B-b79K.safetensors, diffusion_pytorch_model_promax.safetensors, flux1-redux-dev.safetensors, and xinsirtile-sdxl-1.0.safetensors.
Named node components include ACN_AdvancedControlNetApply_v2, CLIPTextEncode, CLIPVisionLoader, ControlNetApplyAdvanced, ControlNetLoader, ETN_KritaCanvas, ETN_KritaImageLayer, ETN_KritaOutput, ETN_KritaStyle, ETN_Parameter, Fast Groups Bypasser (rgthree), HintImageEnchance, and
Additional named components include IPAdapterEmbeds, IPAdapterEncoder, IPAdapterModelLoader, Seed (rgthree), SetUnionControlNetType, TiledDiffusion, workflow>Clip text (concatenated), workflow>ControlNet 1 mask handler, workflow>HDR intensity group, workflow>IPAdapter 2 mask
You can customize the models used for the two ControlNets, two IP Adapters, and Clip Vision.
Tiled Diffusion is compatible with all ControlNet models and can assist with processing images up to 24K resolution, optionally adding creative detail.
Before use, verify that the named model files and node components are available in your Krita AI setup.
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Quellen
1 QuelleQuellenauszüge
1 AuszugSource context: 342 downloads · Type Workflows · Base model SDXL 1.0
Full description of the HR Beautify workflow and custom nodes it uses can be found on the github wiki pages of the project. To view more examples of hires images refined with the HR Beautify workflow and download full-size png files embedding it, click here .
Geschätzter VRAM Bedarf
Schätzung nicht verfügbar
123 MB über 1 von 6 Modell-Dateien. Gesamtmodell-Dateien + 25% Ladeaufwand + 2 GB Ausführungs-Puffer, aufgerundet.
Anforderungen
32 AnforderungenCLIP-ViT-H-14-laion2B-s32B-b79K.safetensors
Nicht aufgelöstVision model · Unknown
diffusion_pytorch_model_promax.safetensors
MöglichControlNet · Unknown
Checkpoint · 123 MB · SAFETENSOR · Unknown
workflow>VAE Decode (Tiled)
Nicht aufgelöstVAE · Unknown
workflow>VAE Encode (Tiled)
Nicht aufgelöstVAE · Unknown
xinsirtile-sdxl-1.0.safetensors
Nicht aufgelöstControlNet · Unknown
ACN_AdvancedControlNetApply_v2
MöglichKnotenpaket · Unknown
CLIPTextEncode
MöglichKnotenpaket · Unknown
CLIPVisionLoader
MöglichKnotenpaket · Unknown
Knotenpaket · Unknown
ControlNetLoader
MöglichKnotenpaket · Unknown
ETN_KritaCanvas
GefundenKnotenpaket · Unknown
ETN_KritaImageLayer
GefundenKnotenpaket · Unknown
ETN_KritaOutput
GefundenKnotenpaket · Unknown
ETN_KritaStyle
GefundenKnotenpaket · Unknown
ETN_Parameter
GefundenKnotenpaket · Unknown
Fast Groups Bypasser (rgthree)
Nicht aufgelöstKnotenpaket · Unknown
HintImageEnchance
GefundenKnotenpaket · Unknown
ImageResize+
MöglichKnotenpaket · Unknown
IPAdapterAdvanced
MöglichKnotenpaket · Unknown
IPAdapterEmbeds
MöglichKnotenpaket · Unknown
IPAdapterEncoder
MöglichKnotenpaket · Unknown
IPAdapterModelLoader
MöglichKnotenpaket · Unknown
Seed (rgthree)
GefundenKnotenpaket · Unknown
SetUnionControlNetType
Nicht aufgelöstKnotenpaket · Unknown
TiledDiffusion
MöglichKnotenpaket · Unknown
workflow>Clip text (concatenated)
Nicht aufgelöstKnotenpaket · Unknown
workflow>ControlNet 1 mask handler
Nicht aufgelöstKnotenpaket · Unknown
workflow>HDR intensity group
Nicht aufgelöstKnotenpaket · Unknown
workflow>IPAdapter 2 mask handler
Nicht aufgelöstKnotenpaket · Unknown
workflow>KSampler - Advanced
Nicht aufgelöstKnotenpaket · Unknown
workflow>Smart sharpen group
Nicht aufgelöstKnotenpaket · Unknown