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...
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- Encontrado
Object Detector · 21.5 MB · Hugging Face · Tenofas/ComfyUI
- Encontrado
Object Detector · 49.6 MB · Hugging Face · Tenofas/ComfyUI
- Encontrado
Object Detector · 21.4 MB · Hugging Face · danaidesign/comfyui
- No resuelto
Object Detector · Hugging Face
- Encontrado
Object Detector · 21.4 MB · Hugging Face · danaidesign/comfyui
Checkpoint · 6.46 GB · Civitai · 1513492
sam_vit_b_01ec64.pth
Archivo sin verificarSegmentation · Unknown
umt5_xxl_fp8_e4m3fn_scaled.safetensors
No resueltoText encoder · Hugging Face · Comfy-Org/Wan_2.1_ComfyUI_repackaged
- No resuelto
VAE · Hugging Face · Comfy-Org/Wan_2.2_ComfyUI_Repackaged
wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors
Archivo sin verificarCheckpoint · Hugging Face · Comfy-Org/Wan_2.2_ComfyUI_Repackaged · Wan 2.2 ComfyUI Repackaged
wan2.2_t2v_low_noise_14B_fp8_scaled.safetensors
Archivo sin verificarCheckpoint · Hugging Face · Comfy-Org/Wan_2.2_ComfyUI_Repackaged · Wan 2.2 ComfyUI Repackaged
xl-innie-biglove.safetensors
No resueltoLoRA · Unknown
Paquetes de nodos
3comfyui-impact-pack
EncontradoPaquete de nodos · Registry
comfyui-impact-subpack
EncontradoPaquete de nodos · Registry
rgthree-comfy
EncontradoPaquete 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.
¿Es necesario editarlo?
Inicia sesión para solicitar una edición.
Fuentes
1 fuente
Fuentes
1 fuenteExtractos de fuentes
3 extractos
Extractos de fuentes
3 extractosSource 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
