WorkflowPublicadoExterno

Flux with Skin_Detailer [ComfyUi] — Detail Daemon + NI

Update 26.11.24 This workflow eliminates the need for a face and skin detailer. The idea is to render directly at a significantly higher resolution and then correct any imperfections in the image using a simple...

Fuentecivitai.com/models/617451

TareaMúltipleCapacidadesTexto a imagen · AmpliaciónFamiliaFLUXVRAM estimadaNot yet characterizedBcalidad

Perfil de ejecución

Acceso: Flujo externo
Estado: Publicado
Fuente: Civitai
Actualizado: 3 sept 2026

Descripción de la fuente

Additionally, image details are enhanced through the Detail Daemon and additional noise injection. In the initial samplers, the sigmas are split to allow the first steps to render with high guidance and the final steps with low guidance. This makes the images appear more natural and less AI-like.

This approach works very well but requires extremely powerful hardware and is not particularly fast. However, the resulting images are of exceptionally high quality.

Update 07.10.24

The workflow now supports GGUF models, improved ViT-L/14 CLIP, and has a significantly enhanced UltimateUpscaler thanks to the fill nodes.

Comentario generado por IA

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

Propósito

This ComfyUI workflow uses Flux.1 D to render high-resolution portraits, then upscales them to correct image imperfections.

Flujo

Detail Daemon and added noise injection are used to enhance image details.
Sampling splits the sigmas so early steps use high guidance and final steps use low guidance.

Entradas y salidas

The creator says this approach avoids the need for a separate face and skin detailer.

Configuración inicial

Flux model download links are in the workflow notes.

Dependencias

Required ComfyUI node packs include ComfyUI-Impact-Pack, ComfyUI-Impact-Subpack, ComfyUI_essentials, ComfyUI-Inspire-Pack, and ComfyUI_Comfyroll_CustomNodes.
Named model files include epicrealism_naturalSinRC1VAE.safetensors, more_details.safetensors, sam_vit_b_01ec64.pth, and t5xxl_fp16.safetensors.

Configuración

The description lists GGUF model support, an improved ViT-L/14 CLIP, and fill nodes for UltimateUpscaler.

Precauciones

Plan for a demanding run: the creator describes this workflow as extremely hardware-intensive and reports about 10–12 minutes per image on an RTX 3090.
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Fuentes

1 fuente

CivitaiPrincipal

civitai.com/models/617451

Verificado 20 jul

Extractos de fuentes

2 extractos

Note20 julcivitai.com/models/617451

Source context: 11497 downloads · Type Workflows · Base model Flux.1 D

Note15 julcivitai.com/models/617451