Use an AI Toolkit-trained LoRA with Qwen Image 2512 in ComfyUI via one RCQwenImage2512 node for preview-aligned generations.

Who it's for: creators who want this pipeline in ComfyUI without assembling nodes from scratch. Not for: one-click results with zero tuning — you still choose inputs, prompts, and settings.

Open preloaded workflow on RunComfy

Open preloaded workflow on RunComfy (browser)

Why RunComfy first
- Fewer missing-node surprises — run the graph in a managed environment before you mirror it locally.
- Quick GPU tryout — useful if your local VRAM or install time is the bottleneck.
- Matches the published JSON — the zip follows the same runnable workflow you can open on RunComfy.

When downloading for local ComfyUI makes sense — you want full control over models on disk, batch scripting, or offline runs.

How to use (local ComfyUI)
1. Load inputs (images/video/audio) in the marked loader nodes.
2. Set prompts, resolution, and seeds; start with a short test run.
3. Export from the Save / Write nodes shown in the graph.

Expectations — First run may pull large weights; cloud runs may require a free RunComfy account.

Overview

Qwen Image 2512 LoRA Inference lets you generate text-to-image outputs with Qwen Image 2512 in ComfyUI while keeping AI Toolkit LoRA behavior consistent. The workflow uses RC Qwen Image 2512 (RCQwenImage2512) to execute a Qwen-specific inference pipeline rather than rebuilding the job as a standard sampler graph. Load your adapter through lora_path and tune it with lora_scale inside that pipeline to reduce preview drift.

Important nodes:

• AITK LoRA (RCAITKLoRA)

• AITK Load Pipeline (Qwen 2512)

• AITK Empty Latent (512x512)

• Latent Upscale (1.5x to 768x768)

• AITK Sampler (Initial txt2img)

• AITK Sampler (Refine at 0.35 denoise)

• SaveImage

Notes

Qwen Image 2512 LoRA Inference in ComfyUI | RunComfy Workflow (Training-Matched Results) — see RunComfy page for the latest node requirements.