Krea 2 Cleanup 2.6 - Single-Image (Three-Stage Depth Control + Presets)

RunningHub workflow page: https://www.runninghub.ai/zh-cn/post/2080681456040501249?inviteCode=rh-v1111

Krea 2 Cleanup 2.6 - Single-Image (Three-Stage Depth Control + Presets)

Purpose: the single-image variant of the Krea 2 cleanup set. One image in, the same three depth-conditioned stages (high-noise shaping, mid-noise structure hold, low-sigma convergence), RAW + Turbo base models and a 4x upscale pass, with one preset number controlling how far the edit is allowed to move.

Graph (as saved)

89 nodes / 149 links / 38 groups.

• Depth chain: three Krea2ControlImageEncode stages each feeding Krea2ControlApply and a Krea2ControlLoRALoader on depth-control-lora.safetensors at 1.00 / 0.85 / 0.65 (preset-driven).
• Three more LoraLoaderModelOnly slots on the same file are saved at strength 0 - disabled slots, not active LoRAs.
• Models: krea2_raw.safetensors high-noise stage, krea2_turbo_fp8.safetensors mid/low. CLIP qwen3vl_4b_fp8_scaled.safetensors (type krea2), VAE qwen_image_HDR_vae_fp32_comfy.safetensors.
• Single input: one LoadImage; depth via DA3 nodes; ConditioningKrea2Rebalance saved bypassed in this variant.
• Samplers: three SamplerCustomAdvanced with one shared SamplerEulerAncestral (1, 1); shared RAW/Turbo schedule 36 steps denoise 0.92; Turbo upscale refine 10 steps denoise 0.35; active intermediate KSampler 10 steps, CFG 1, euler_ancestral, simple, denoise 0.40. Legacy KSamplers saved bypassed (8j0.90, 10j0.30).
• Upscale: 4x-UltraSharp + ImageUpscaleWithModel; two LatentUpscale nodes. SaveImage prefix Krea2_单图洗图_2.4_RAWTurbo.
• Preset dial: 0 = tightly controlled / faithful, 1 = balanced (default), 2 = diverging high-noise repaint; drives three denoise values, Split checkpoints, RAW CFG and the depth-LoRA strength trio together (preset 2 sets depth LoRA to 0).

How to use

Load one image, pick the preset, and write or extract the prompt. The graph's CLIP node accepts the final prompt from the JSON field; the LLM/JSON caption branch is shared with the batch variants. Leave the depth-LoRA trio at preset values unless you deliberately override it.

Limits and not-verified items

No inference was run for this listing: no speed, VRAM, fidelity or upscale-quality claim is made. The saved nodes and notes are the author's configuration, not measured results. Weights, LoRA, depth model and input media are not bundled; check their licenses separately. The cover image is a promotional still, not a frame produced by this graph.

Tutorial: YouTube · Bilibili. Workflows supplied through AI-KSK; verify workflow, node, model, LoRA, input-image and cover rights separately. No blanket commercial or redistribution license is asserted.