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Fury: Quality Juicer ((((SDXL + SD1.5))))

5.0

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Description

(This template is used for Workflow Contest)

What this workflow does

Improve the quality of your results for your prompts. This workflow is low impact for your VRAM, so you can achieve quality thanks to complements between SD technologies such as IPAdapter plus, controlnet and Hi-Res fix.

How to use this workflow

Use your prompts as you usually do, choose an SDXL and SD1.5 model as well, choose your preferred image upscaler. enjoy

Tips about this workflow

- When using a double model (SDXL + v1.5) each token in the prompt will tend to increase its action on the result, gradually increasing its power to achieve the results you are looking for.

-Modifications to the HI-RE Fixes increase the changes exponentially, be wise.

-Prompt stylers greatly influence the final result


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  • - latest (2 years ago)

Primitive Nodes (15)

Anything Everywhere (4)

Camera_AnglesStylerAdvanced (1)

DepthStyler (1)

EnvironmentStyler (1)

IPAdapterApply (1)

LightingStyler (1)

LutsStyler (1)

PrimitiveNode (2)

Reroute (3)

Custom Nodes (29)

ComfyUI

  • - CLIPTextEncodeSDXL (2)

  • - EmptyLatentImage (1)

  • - CLIPTextEncode (2)

  • - LoraLoader (5)

  • - CheckpointLoaderSimple (2)

  • - UpscaleModelLoader (1)

  • - ControlNetLoader (1)

  • - CLIPVisionLoader (1)

  • - PreviewImage (1)

  • - ImageToMask (1)

  • - VAELoader (1)

  • - FreeU_V2 (1)

  • - VAEEncodeForInpaint (1)

  • - ControlNetApplyAdvanced (1)

ComfyUI Nodes for Inference.Core

  • - TilePreprocessor (1)

  • - IPAdapterModelLoader (1)

  • - HighRes-Fix Script (2)

  • - KSampler Adv. (Efficient) (2)

  • - Seed Everywhere (1)

  • - Upscale by Factor with Model (WLSH) (1)

Checkpoints (2)

Oxigeno-A.safetensors

segmindSSD1B_v10.safetensors

LoRAs (5)

detail_slider_v4.safetensors

epiCRealismHelper.safetensors

pytorch_LCM-SDXL_lora_weights.safetensors

pytorch_lora_weights.safetensors