A clean, one-dial body weight slider for Qwen-Image 2512.<ul><li>Negative strength = slimmer, positive strength = heavier. At −1 she's slim and lean; at +1 she's soft and plus-size, with a fuller belly, arms, thighs and face.</li><li>Everything else stays put. Same face, age, hair, pose, clothes and background across the dial. It was trained with a face anchor so the heavy end doesn't age her.</li><li>No trigger word. Load it and set the strength; it works on any prompt.</li><li>Works across skin tones and ethnicities: it was trained on a balanced, multi-ethnic set of synthetic photos.</li></ul>Recommended strength: −1.0 to +1.0. The sweet spot is about ±0.8; past ±1.2 the extremes start to exaggerate.Tested settings: Qwen-Image 2512 (fp8), 20–25 steps, CFG 3–3.5, euler / simple, ModelSamplingAuraFlow shift 3.1. ComfyUI: <code>LoraLoaderModelOnly</code>; negative strengths are fine.Tips<ul><li>It stacks with other LoRAs. Lower it a little if another body LoRA is also active.</li><li>It respects the prompt: on "athletic" or "fit" prompts +1 adds size but keeps the muscle tone, so you get a stronger, thicker build rather than a soft one. Push to about 1.3 for a bigger change there.</li><li>Framing usually holds, but a strong negative strength can pull the camera back to full body. Put the framing ("full body", "waist-up") in the prompt to pin it.</li></ul><h3 id="training-notes">Training notes</h3>Trained with ostris/ai-toolkit's concept-slider trainer on Qwen-Image-2512 (qfloat8): 250 steps, rank 8, lr 2e-4, 768 px. Direction: "slim, toned, lean build" ↔ "heavy, soft, overweight build", with a face anchor to hold age and identity. The images are synthetic (no real people).<h3 id="showcase-images">Showcase images</h3><ul><li><code>01-dial-grid.jpg</code>: the same two women at −1, −0.5, 0, +0.5 and +1. Use this as the cover.</li><li><code>02</code>–<code>07</code>: single samples at −1, 0 and +1 for each woman.</li></ul>These are ai-toolkit training samples (768×1152). Before upload, re-render the cover in ComfyUI so it carries generation metadata; that's in the checklist below.

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