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Wan2.2 Image Refiner — v1.0

With this model you can create highly refined images using Wan2.2 it is a collection of multiple workflows, in addition of my own work on it, I have tried to make it easy for anyone with basic knowledge with Comfy Ui...

TareaMúltipleCapacidadesEdición de imagen · Imagen a imagen · AmpliaciónFamiliaWanVersiónRelease 2473810 — Wan2.2_Refiner.jsonVRAM estimadaNot yet characterizedBcalidad

Perfil de ejecución

Acceso
Flujo externo
Estado
Publicado
Versión
Wan2.2_Refiner.json
Fuente
Civitai
Actualizado
18 oct 2026

Descripción de la fuente

With this model you can create highly refined images using Wan2.2 it is a collection of multiple workflows, in addition of my own work on it, I have tried to make it easy for anyone with basic knowledge with Comfy Ui to be able to modify add and remove any section of the workflow and replace it with quantized alternative to fit your Hardware.

The different detailers require separate models that should go in your ComfyUI /models/ultralytics/bbox folder. You can find these files here and here .

Inspired by GBRX

What you need

Model files
6.6 GiB known subtotal

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

Requisitos

Modelos

12

Paquetes de nodos

3
  • comfyui-impact-pack

    Encontrado

    Paquete de nodos · Registry

  • comfyui-impact-subpack

    Encontrado

    Paquete de nodos · Registry

  • rgthree-comfy

    Encontrado

    Paquete de nodos · Registry

Comentario generado por IA

Explicación generada por IA basada en los detalles de la fuente y la configuración. Las sugerencias están claramente identificadas.

Propósito

  • Wan2.2 Image Refiner is a ComfyUI workflow for creating highly refined images with Wan2.2. It uses the Wan Video 2.2 T2V-A14B base model and separate detailer models, with highly refined images as its stated output.

Flujo

  • It is a collection of multiple workflows for Wan2.2.

  • With basic ComfyUI knowledge, you can modify, add, or remove workflow sections.

Entradas y salidas

  • Different detailers require separate model files.

Configuración inicial

  • Place the separate detailer models in ComfyUI /models/ultralytics/bbox.

Dependencias

  • Listed model files include: wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors; wan2.2_t2v_low_noise_14B_fp8_scaled.safetensors; umt5_xxl_fp8_e4m3fn_scaled.safetensors; wan_2.1_vae.safetensors; and gonzalomoXLFluxPony_v60PhotoXLDMD.safetensors.

  • Other listed model files include: xl-innie-biglove.safetensors; bbox/female_breast-v4.2.pt; bbox/face_yolov8m.pt; bbox/nipples_yolov8s.pt; bbox/Eyeful_v2-Paired.pt; bbox/vagina-v3.2.pt; and sam_vit_b_01ec64.pth.

  • Listed node packs include: rgthree-comfy, comfyui-impact-pack, and comfyui-impact-subpack.

Configuración

  • Workflow sections can be replaced with quantized alternatives to fit your hardware.

Precauciones

  • No license is specified for this workflow.

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Fuentes

1 fuente
CivitaiPrincipalVersión 2473810
civitai.com/models/2197051

Verificado 18 oct

Extractos de fuentes

3 extractos

Source context: 438 downloads · Type Workflows · Base model Wan Video 2.2 T2V-A14B

Source context: 391 downloads · Type Workflows · Base model Wan Video 2.2 T2V-A14B

Source context: 375 downloads · Type Workflows · Base model Wan Video 2.2 T2V-A14B