You can also run this workflow directly on RunningHub!
Click the link below and you will receive 600 free credits to test it:

👉 [RunningHub Link Here]

https://www.runninghub.ai/pt-br/post/2101458473182588930/?inviteCode=utilgdqj

High-quality Krea 2 pipeline focused on extreme facial and background detail recovery, followed by a powerful SeedVR2 4K upscale.

This workflow is designed for users who want maximum sharpness and realism from Krea 2 generations without complicated setups.

What this workflow does:

1. Text-to-Image generation with Krea 2 architecture

2. 1st SeedVR2 pass → deblur + detail recovery

3. SAM3 segmentation (Face + Hair)

4. Dedicated Face Detailer (low denoise, high precision)

5. Dedicated Background Detailer (separate density control)

6. Final SeedVR2 4K Upscale (up to 4096px)

7. Side-by-side comparison (before vs after upscale)

Key Features

• Separate density controls for Face and Background

• Clean and organized node groups

• Batch / Loop support

• Image Comparer included

• Optimized for high detail and natural skin texture

• Ready for character reference sheets or high-quality portraits

Recommended Use Cases

• Character reference sheets

• High-detail portraits

• Realistic / semi-realistic images

• Face enhancement + full scene refinement

• Final 4K delivery

Required Custom Nodes

• ComfyUI-Impact-Pack (DetailerForEach)

• ComfyUI-KJNodes (Set/Get nodes)

• rgthree-comfy

• Easy-Use (sam3, forLoop, etc.)

• SeedVR2 nodes

• ComfyUI-Image-Resize / WAS Node Suite (or equivalent)

Models needed

• Krea 2 compatible UNET

• Qwen3-VL / Lumina2 CLIP

• SeedVR2 DiT + VAE (seedvr2_ema_7b_fp16 + ema_vae_fp16)

• SAM3 model (sam3.pt)

• Optional LoRAs for style/identity

Tips

• Start with Face Density around 0.08 ~ 0.15

• Background Density around 0.12 ~ 0.25

• Keep the first SeedVR2 pass at moderate resolution for better detail recovery

• Use the Image Comparer to check the quality jump after the final 4K upscale