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Gladas' Workflow for Krea 2 Turbo — v1 — v12

v12 is a VERY stripped down workflow.

VersãoRelease 3404612 — gladasWorkflowForKrea_v12.jsonEstimado VRAMNot yet characterized

Perfil de execução

Acesso
Fluxo de trabalho externo
Status
Listados
Versão
gladasWorkflowForKrea_v12.json
Fonte
Civitai
Atualizado
15 de out. de 2026

Descrição da fonte

v12 is a VERY stripped down workflow.

I started fresh with this workflow and the result is a faster (for me) and leaner workflow.

Wildcard usage is still available along with BKWILDCARDS .

The "empty" latent source is the SDXL Empty Latent Image node from rgthree for simplicity.

This is setup as a two KSampler (Advanced ) workflow with upscaling performed via latent upscale in the 2nd KSampler (Advanced) node.

Separate lora loaders are available for each KSampler and are set to match the color of the KSampler they are connected to.

Image Saver to save the image with CivitAI readable metadata. ComfyUI Manager doesn't seem to list the latest version of Image Saver. I recommend getting it from the project page.

A note with links to all the custom nodes used in this workflow can be found on the far left side.

TL;DR of how the workflow works (these are the default settings):

Pick the initial resolution on the SDXL Empty Latent Image node.

This can be swapped for your preferred Empty Latent node. Just connect your latent output to the " latent_image " input on the blue KSampler.

Set the Upscale Latent by " scale_by " setting to 2.00 to perform a 2x upscale. This can be adjusted as needed.

I use the two KSampler (Advanced) to generate the initial image and proceed straight into the upscale.

On both KSamplers:

Steps: 10

CFG: 1.0

Sampler: euler

Scheduler: simple

On the blue KSampler:

start_at_step: 0

end_at_step: 6

On the red KSampler:

start_at_step: 6

With these settings, I get a 2x upscaled image in around 35 to 40 seconds on a 5060ti 16GB with comfy kitchen enabled. Adding additional loras will likely increase the generation time.

NOTE: You can choose to use only one KSampler. Just make sure to bypass the 2nd KSampler and the Upscale Latent by node.

Removed:

AIO Loader

LC123 nodes

Krea2 NegPip

Prompt Reformat

Detailer

SeedVR2

What you need

Model files
5.1 GiB known subtotal

Remaining hardware or download-size estimates are not available yet.

Requisitos

Modelos

3

Pacotes de nós

5
  • bkwildcards

    Encontrado

    Pacote de nós · Registry

  • comfyui-custom-scripts

    Encontrado

    Pacote de nós · Registry

  • comfyui-impact-pack

    Encontrado

    Pacote de nós · Registry

  • comfyui-kjnodes

    Encontrado

    Pacote de nós · Registry

  • rgthree-comfy

    Encontrado

    Pacote de nós · Registry

Comentário gerado por IA

Explicação gerada por IA com base nos detalhes da fonte e da configuração. As sugestões são claramente identificadas.

Propósito

  • This ComfyUI workflow generates Krea 2 images from text prompts and can upscale the latent before saving an image with CivitAI-readable metadata; choose the initial latent resolution.

Fluxo

  • The default path uses two KSampler (Advanced) stages, with latent upscaling between the initial generation and the second pass.

  • Wildcard use, including BKWILDCARDS, remains available, and separate LoRA loaders are provided for each sampler.

Entradas e saídas

  • The default starting latent comes from SDXL Empty Latent Image (rgthree); you can replace it with another empty latent node by connecting its latent output to the blue KSampler's latent_image input.

Configuração

  • For Image Saver, the author says ComfyUI Manager may not show the latest version and recommends getting it from the project's page.

Dependências

  • Named model files are `qwen_image_vae.safetensors`, `qwen3vl_4b_fp8_scaled.safetensors`, and `vxpKrea2Nsfw_beta31INT8.safetensors`.

  • The workflow names these ComfyUI node packs: `bkwildcards`, `comfyui-custom-scripts`, `comfyui-impact-pack`, `comfyui-kjnodes`, and `rgthree-comfy`.

Configuração

  • Set LatentUpscaleBy `scale_by` to 2.00 for a 2× latent upscale; the author says this value can be adjusted.

  • Both samplers are listed at 10 steps, CFG 1.0, sampler `euler`, and scheduler `simple`; the blue sampler uses start 0 and end 6, and the red sampler starts at 6.

  • To use one sampler, bypass the second KSampler and the Upscale Latent by node.

Precauções

  • The workflow is not set up for models that use CFG above 1.

  • The workflow is provided as-is without guaranteed support, and no license is listed.

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Fontes

1 fonte
CivitaiPrimárioVersão 3404612
civitai.com/models/2807513

Verificado 14 de out.

Trechos de fonte

1 trecho

Source context: 2657 downloads · Type ComfyWorkflows · Base model Krea 2