Glamour Realism – Soft Natural Look
A style LoRA for MOSS Image that gives portraits a softer, more natural photo look: muted film-like colour, gentle light and natural skin. One small file, no trigger word.

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🎯 What it does (honest summary)
Same prompt and seed, MOSS Image SFT, 50 steps, with and without the LoRA. On prompts with a person the change is clear already at strength 0.7: colour is softer and less saturated, light is gentler, skin looks more natural, and the face turns Asian even when the prompt does not ask for it (all 45 training images show Asian women). The difference between 0.7 and 1.0 is small. In our tests it did not break text on signs, hands or prompt following. On a street scene without people it gives a more filmic, softer look.

🖼️ Base vs LoRA
Same prompt and seed. Left: MOSS Image without the LoRA. Right: with this LoRA at 1.0. (See the comparison images in the first post.)

🚀 Quick start
• Base model: MOSS Image. Trained on MOSS-Image-Base, tested on MOSS-Image-SFT (int8): it works on SFT
• Trigger word: none, the look is always on
• Strength: 0.7 to 1.0, start at 0.8
• Settings used for the examples: SFT, 50 steps, CFG 3, 1184x1776
• Fast lane also works: MOSS Image SFT 4-step v2 LoRA + this LoRA at 1.0, CFG 1, Euler, shift 5, 4 steps. About 5 to 7 seconds per image on our card, with slightly less fine detail than 50 steps

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⚠️ Limits you should know
• Tested on 4 prompts, one seed each, all SFW. We did not test Thai prompts, two-person pictures or adult content
• Faces lean Asian. We did not test whether naming another ethnicity in the prompt overrides this
• It softens the glamour look of the base model: less saturated colour, gentler light, slimmer figures. If you want strong golden-hour glow, use a lower strength
• At 0.7, one example changed the pose from what the prompt asked (arms crossed), same seed
• Text on signs was correct in our 4 sign tests, but results can vary with other prompts

✨ Features
• Natural skin and softer light on portraits and lifestyle scenes
• Works on SFT even though it was trained on Base
• Fast lane (4 steps) compatible
• Rank 32, about 145 MB, 45 training images, 2000 steps (epoch 10 of 10)

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⚖️ Attribution and licence
• Base model: MOSS-Image by OpenMOSS, weights released under Apache-2.0 (model card)
• Trained on Civitai's on-site trainer with 45 AI-generated images. All example images are AI-generated