WorkflowPrésentéExterne

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...

Sourcecivitai.com/models/617451

TâcheMultipleCapacitésTexte en image · Mise à l'échelleFamilleFLUXEstimé VRAMNot yet characterizedBClasse

Profil d'exécution

Accès: Flux de travail externe
Statut: Présenté
Source: Civitai
Mis à jour: 3 sept. 2026

Description de la source

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.

Commentaire généré par l’IA

Explication générée par l’IA à partir des détails de la source et de la configuration. Les suggestions sont clairement signalées.

Objectif

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

Flux

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.

Entrées et sorties

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

Installation

Flux model download links are in the workflow notes.

Dépendances

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.

Configuration

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

Précautions

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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Sources

1 source

CivitaiPrincipal

civitai.com/models/617451

Vérifié 20 juil.

Extraits de sources

2 extraits

Note20 juil.civitai.com/models/617451

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

Note15 juil.civitai.com/models/617451