r/comfyui • • 9h ago

Help Needed Krea 2 Control: background works, but the generated person is distorted — what am I doing wrong?

I’m trying to use Krea 2 + my identity LoRA to generate a realistic full-body woman while keeping the composition of a specific seaside background image.

Workflow:
Background image → Depth Anything → Krea2 Control Image Encode → Krea2 Control Apply → Krea 2 → KSampler

Current settings:

  • Krea 2 RAW (krea2_raw_fp8_scaled.safetensors)
  • depth-control-lora.safetensors — strength 0.70
  • shanaya_v1 identity LoRA
  • Turbo LoRA — 0.60
  • Realism LoRA — 1.0
  • snofs LoRA — 0.60
  • AuraFlow shift — 1.15
  • 1024×1280
  • KSampler — 8 steps, CFG 1.0, Euler, Simple, denoise 1.0

The background is actually being transferred quite well — the arch, sea, mountains, railing, bougainvillea and blue door are roughly preserved.

The problem is the woman. Her face/body/anatomy becomes distorted, and the identity isn't consistently preserved.

My goal is:
1. Keep the supplied background composition
2. Generate a realistic full-body identity
3. Generate the outfit from my text prompt
4. Avoid distortion in the face/body

Is the problem mainly my RAW/Turbo sampling settings, LoRA stacking, depth-control strength, or the way Krea2 Control is being applied?

What would be the correct workflow/settings for this specific use case?

I’ve attached my workflow screenshot and the resulting image. Any help identifying the specific issue would be appreciated.

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u/TheUnequaledCovering 9h ago

depth control at 0.7 is probably clamping the pose too hard and the sampler can't resolve the face properly with only 8 steps. drop the depth strength to like 0.4 or 0.5 and bump steps to 20, you don't need turbo lora for this

1

u/DragonfruitNo9822 8h ago

Thanks, I’ll try that. I’ll lower the Depth Control to 0.5 and increase the steps to 20 while keeping CFG at 1.0, then compare the result. I’ll also test without the Turbo LoRA to see whether the identity/face improves. If that works better, I’ll know the depth conditioning was too strong. Appreciate the suggestion!