Input a single full-body image, auto-upscale it to high resolution(2MP), and generate a multi-view showcase grid focusing on face, legs, and feet details seamlessly, good for Character LoRA dataset preparation.

V1.2

1. Flow Control: To avoid frequent model switching, loading, and unloading, added a Preprocess pipeline to obtain masks ahead of time.

2. Batch Image Processing: Organized and structured nodes into Subgraphs, and modified Face/Legs/Feet into Batch Image processing based on model types (Qwen/K9B/Krea2) step-by-step, improving processing speed.

Models

• Krea2 - Moody Krea 2 Mix V8

• Qwen - Phr00t/Qwen-Image-Edit-Rapid-AIO

  • └ INT8 Convrot/INT6 W6A8 Conversion(19G/14.9G):

    • HuggingFace - waveshaker/comfy_models/qwen

    • Civitai - QWEN RAPID NSFW v23 - INT8 Convrot/INT6 W6A8

INT6 is just a bit slower than INT8 (about 33s vs 30s), but the model size is smaller and the results are pretty much the same.

• Flux2 Klein 9B - Moody Desire Mix v3.0

  • └ INT8 Convrot Conversion - moodyDesireMix_v30_fp16_ctq_int8_convrot.safetensors

📂 ComfyUI/
├── 📂 models/
│   ├── 📂 sam3/
│      ├── 📄 sam3.pt

• SAM3(Official: FP32) - facebook/sam3

  • └ FP16/Mixed FP8/FP8 version:

    • HuggingFace - waveshaker/comfy_models/sam3

    • Civitai - SAM3 - FP16/Mixed FP8/FP8

📂 ComfyUI/
├── 📂 models/
│   ├── 📂 checkpoints/

• SAM3.1 - Comfy-Org/sam3.1

  • └ INT8 Convrot Conversion - SAM 3.1 INT8 + INT4 Native ConvRot

YOLO Detection Models

📂 ComfyUI/
├── 📂 models/
│   ├── 📂 ultralytics/

• foot-yolov8l.pt

• HeelsDetect Y8m.pt

LoRA

• Krea2

  • HighQuality - High resolution

• Qwen

  • Qwen-Image-Edit-2511-Unblur-Upscale -  Qwen-Image-Edit-Unblur-Upscale_20.safetensors 

• Flux 2 Klein 9B

  • f2k_9B_lcs_consist_20260415 - Consistence Edit Lora

V1.1

• Fully replaced SAM3 Segmentation (RMBG) with comfyui-easy-sam3, resolving the OOM issue caused by the RMBG SAM3 failing to clear VRAM.

• Added a toggleable Krea 2 refine step into every original Upscale step; Krea 2 enhances skin realism.

Note: There is nothing wrong with the quality of the RMBG custom node itself, and SAM3 Segmentation (RMBG) does provide a model unloading option. However, when the workflow requires heavy and frequent use of it to generate masks, the model unloading speed of RMBG's SAM3 Segmentation is too slow, which increases the total workflow execution time.

V1.0

⚠️ VRAM Notice: SAM3 Segmentation (RMBG) in the RMBG custom node currently causes VRAM OOM issues.

Please use either comfyui-easy-sam3 (with sam3.pt) or ComfyUI native SAM3 Detect (with SAM3.1) instead. Alternatively, I'll release a fixed version soon.The new version will use Krea2 for more realistic skin texture.