Run your AI Toolkit-trained FLUX.2 Dev LoRA in ComfyUI with training-matched behavior using a single RunComfy RC custom node.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.<h3 id="open-preloaded-workflow-on-runcomfy">Open preloaded workflow on RunComfy</h3><a target="_blank" rel="ugc" href="https://www.runcomfy.com/comfyui-workflows/flux2-dev-ai-toolkit-lora-inference-in-comfyui-training-matched-results?utm_source=civitai&amp;utm_medium=referral">Open preloaded workflow on RunComfy (browser)</a>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.<hr /><h3 id="overview">Overview</h3>FLUX.2 LoRA ComfyUI Inference is a ready-to-run RunComfy workflow for applying an AI Toolkit-trained LoRA to FLUX.2 Dev inside ComfyUI. Instead of rebuilding FLUX.2 with a generic sampler graph, it routes generation through Flux2Pipeline, a model-specific wrapper aligned to the AI Toolkit preview pipeline. This pipeline-level alignment keeps LoRA injection consistent and preserves FLUX.2-correct defaults for repeatable, training-matched outputs. Load a single adapter from <code>ComfyUI/models/loras</code> (local download) or a direct <code>.safetensors</code> URL, then match <code>lora_scale</code> and your sampling values to your training samples when needed. Output images are saved via SaveImage for easy side-by-side comparison with training previews.Important nodes:<ul><li>Load Pipeline</li><li>SaveImage</li></ul><h3 id="notes">Notes</h3>FLUX.2 Dev LoRA ComfyUI Inference | RunComfy Workflow (Training-Matched Results) — see <a target="_blank" rel="ugc" href="https://www.runcomfy.com/comfyui-workflows/flux2-dev-ai-toolkit-lora-inference-in-comfyui-training-matched-results?utm_source=civitai&amp;utm_medium=referral">RunComfy page</a> for the latest node requirements.

FLUX.2 Dev LoRA ComfyUI Inference | RunComfy Workflow (Training-Matched Results)

Initial release — FLUX2-Dev-LoRA-ComfyUI-Inference.

Files with SHA256: 41679d516ee27df05fbaff71f38145d7f1c158b128ae32321b81aeb5b08138dd