> ✦ Ultra Realistic • Natural Indian Features • Realistic Skin • Beautiful Color Rendering
A specialized LoRA focused on creating highly realistic Indian female facial features, natural skin texture, accurate complexion, and beautiful color rendering.
Designed to produce detailed, photorealistic, and social-media-ready images while maintaining natural facial proportions, realistic skin, and balanced colors.
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✨ v2.0 — Update
Improved prompt understanding and prompt flow, helping the model follow descriptions more accurately while producing realistic, polished, and detailed results.
Recommended Settings:
Strength:
0.8 – 1.0Sampler:
er_sdeScheduler:
beta
✨ v1.2 — Update
Improved facial realism, natural skin texture, color rendering, fine details, and more flexible natural body movement for cleaner, more realistic, and social-media-ready results.
Recommended Strength: 0.8 – 1.0
## ✨ Key Features
👩 Realistic Indian Facial Features
- Natural Indian female facial structure
- Realistic facial proportions
- Detailed eyes, eyebrows, nose, and lips
- Natural cheeks and jawline
- Refined facial details and consistency
🌿 Natural Skin & Complexion
- Realistic skin texture
- Natural Indian skin tones
- Balanced skin undertones
- Fine facial and skin details
- Natural highlights and shadows
🎨 Beautiful Color Rendering
- Rich yet natural colors
- Balanced skin tones
- Natural contrast and exposure
- Clean and refined color reproduction
- Beautiful overall image appearance
Version - v1.0
## 🎚️ LoRA Strength
⚡ 1.2 – 1.8
💡 Start around 1.0 and adjust according to the base model, prompt, lighting, and desired result.
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## ⚙️ Recommended Generation Settings
◆ Sampler
Euler/ ER_SDE
◆ Scheduler
Simple/ SGM Uniform
◆ Steps
8 – 12
◆ CFG
1
## 💡 Usage Tips
For best results, use clear and descriptive prompts with realistic photography and natural lighting.
Example:
Indian woman, ultra realistic face, natural skin texture, detailed facial features, realistic eyes, beautiful colors, photorealistic portrait, social media photography
Experiment with different lighting, camera angles, compositions, and LoRA strengths to achieve your preferred look.
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## 📌 Notes
This LoRA is focused on realistic Indian female facial features, natural skin appearance, color rendering, and overall photographic realism.
It is designed to create polished yet natural-looking images without losing realistic facial proportions or skin details.
Results may vary depending on the base model, prompt, lighting, generation settings, and LoRA strength.
Description
✨ v2.0 — Update
Improved prompt understanding and prompt flow, helping the model follow descriptions more accurately while producing realistic, polished, and detailed results.
Recommended Settings:
Strength:
0.8 – 1.0Sampler:
er_sdeScheduler:
beta
FAQ
Comments (3)
Looks like I am the first one to load the Lora in to civitAi :) First of all appreciate the effort
the LORA results authentic good faces and good bodies.
My only complaint is the results are a bit "beautified" and AI looking, even when prompt includes natural , no makeup.
Thank you so much for testing the LoRA and for the detailed feedback! 🙏
Yes, the slightly beautified look is intentional. The LoRA was trained/tuned more toward a final polished portrait look — basically the kind of look you would expect after a portrait has gone through a final editing/polishing pass. So even with prompts like “natural” or “no makeup,” it may still retain some of that refined, clean appearance.
For the best results, I recommend trying it in ComfyUI with:
Sampler: er_sd
Scheduler: beta
VAE: krea2RealVae_v10.safetensors
Resolution: around 2MP
The Krea2 Real VAE can help bring out better skin texture and finer facial details, while the sampler/scheduler combination helps preserve the overall character and detail of the LoRA.
Generating at around 2MP resolution can also help with finer skin texture, facial details, hair, and overall image quality.
So the intended result is more of a polished, edited final portrait rather than a completely raw, unprocessed camera look. 🙂
@lopa6 thanks. i will try this