Krea 2 Advanced Cleanup - Local Folder Batch (Structure LoRA + Reverse Prompt)

This workflow is local-only: it runs in your own ComfyUI installation and has no RunningHub workflow page in the source material. Files are in the Hugging Face / ModelScope package for episode 280.

Krea 2 Advanced Cleanup - Local Folder Batch (Structure LoRA + Reverse Prompt)

Purpose: the local folder-loop variant of the Krea 2 cleanup set. Point it at a folder of images; each image is reverse-prompted and rebuilt independently through depth-structure conditioning and the 4x upscale, then saved one by one.

Graph (as saved)

57 nodes / 98 links / 10 groups.

• Model: UNETLoader krea2_turbo_fp8.safetensors; CLIPLoader qwen3vl_4b_fp8_scaled.safetensors (type krea2); VAELoader qwen_image_HDR_vae_fp32_comfy.safetensors.
• Structure LoRA: one Krea2ControlLoRALoader on depth-control-lora.safetensors at strength 1.0.
• Three depth stages: three Krea2ControlImageEncode → Krea2ControlApply pairs driven by DA3 depth maps.
• Batch loop: easy loadImagesForLoop + easy forLoopEnd + easy batchAnything; each image is processed independently (the saved note is explicit that results are not reused across a batch).
• Sampling: three KSamplers at 8 steps / CFG 1 / euler / simple with denoise 0.95, 0.35 and 0.25; two LatentUpscale nodes (bislerp, 1024) saved disabled; final 4x-UltraSharp upscale.
• Reverse prompt: Qwen3VLProcessor (open route) and RH_LLMAPI_Pro_Node (closed route, GLM-4.6V label); ConditioningKrea2Rebalance is active in this variant.
• Output: SaveImage prefix Krea2_本地批量洗图/Krea2_batch.
• Saved-state inconsistency: the in-graph Note text still says "线上批量版" (online batch), but the actual nodes are a local folder loop and the output path is the local-batch path. The node graph is what runs; the note text is stale.

How to use

Point the loop loader at your folder, set the render stages / final long edge / reverse-prompt source in the console, and queue. Because this workflow is local-only, expect local VRAM and time costs — the online variant exists as a separate graph.

Limits and not-verified items

No inference was run for this listing: no speed, VRAM, batch throughput or quality claim is made. The saved notes are the author's configuration, not measured results. Weights, LoRA, depth model, upscaler and VLM routes 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, depth model and cover rights separately. No blanket commercial or redistribution license is asserted.