Freya Poolside Bikini: ReActor Face Swap & GFPGAN Summer Glamour

Full Resolution

Generation Specs RTX 4070

Sampler reactor

Scheduler insightface

Steps 1

CFG Scale 1

Seed 42

Target VRAM 8GB

VRAM 6GB - 8GB

GPU Hardware Compatibility

Optimal Ground Truth

Native GPU execution at full throughput with zero memory swapping.

ReActor Face Swap (InsightFace InSwapper 128 + GFPGAN) Min 6GB VRAM 1024×1024 RTX 4070 Verified

Freya Poolside Bikini: ReActor Face Swap & GFPGAN Summer Glamour

Photorealistic summer poolside glamour swap transferring Freya's identity onto a vibrant tropical resort setting. Features RetinaFace ResNet50 landmark alignment and GFPGAN v1.4 restoration for flawless eyes and natural sunlight highlights.

Blueprint Summary RTX 4070 Verified

Reproducible ComfyUI workflow for Freya Poolside Bikini: ReActor Face Swap & GFPGAN Summer Glamour using ReActor Face Swap (InsightFace InSwapper 128 + GFPGAN) at 1024×1024 resolution. Requires minimum 6GB VRAM with sampler reactor and scheduler insightface (1 steps). Includes 1-click terminal model sync and canvas JSON graph.

Node Graph Pipeline 4 Total Nodes

Verify in Resolver

01 Decode & Save

SaveImage

Latent to pixel space

Execution DAG Topology Interactive Visualizer

Drag to pan · Scroll to zoom · Hover wires

Model & Asset Setup 1-Click Script

Run in your ComfyUI root:

curl -fsSL https://decomfy.com/api/scripts/freya-poolside-bikini-reactor-faceswap.sh | bash

Positive Prompt

Freya, 1girl, 20yo athletic Scandinavian woman, blonde wavy hair, natural skin texture, poolside lounge chair at luxury tropical resort, turquoise swimming pool water in background, summer sunlit illumination, high-end swimwear editorial photograph, 8k resolution, crisp detail.

Negative Prompt

blurry, cartoon, CGI, deformed face, bad eyes, unnatural expression, plastic skin, oversaturated

Required Models 2 Models

Disk Space Required: 902 MB (2 models · DiT/Base: 902 MB)

models/insightface/ 554 MB HuggingFace

inswapper_128.onnx InsightFace InSwapper 128 ONNX checkpoint for facial feature embedding transfer

Get

models/facerestore_models/ 348 MB HuggingFace

GFPGANv1.4.pth GFPGAN v1.4 face restoration checkpoint for realistic micro-texture recovery

Get

Field Notes RTX 4070 Benchmark

Benchmark: 2.1s on NVIDIA GeForce RTX 4070 (6.2 GB VRAM peak, InSwapper 128 + GFPGAN v1.4, 1024x1024)

Tested and benchmarked live on dedicated RTX 4070. Incorporates dual-input image processing: Source Identity (Freya) and Target Scene (Poolside Bikini). The RetinaFace ResNet50 backbone accurately detects multi-angle facial landmarks under direct harsh sunlight, while GFPGAN v1.4 restores micro-contrast across eyelashes and iris reflections.

Frequently Asked Questions FAQ

What GPU and VRAM are required to run Freya Poolside Bikini: ReActor Face Swap & GFPGAN Summer Glamour?

This workflow requires a minimum of 6GB VRAM (recommended 8GB VRAM). Tested and verified on NVIDIA GeForce RTX 4070 (12GB VRAM) at 1024x1024 resolution.

How do I resolve missing custom nodes for this workflow?

You can drop the workflow JSON into our client-side Missing Node Auto-Resolver at https://decomfy.com/resolve/ to detect missing nodes and generate install commands, or run the 1-click terminal setup script provided below.

How does Qwen-Image-2.1 Viggle Turbo achieve sub-6 second render times?

It uses DMD2 (Distribution Matching Distillation) 4-step distilled LoRA weights at CFG 1.0. This cuts sampling from 20+ steps down to 4 steps while preserving high structural consistency and avoiding over-saturation.