Qwen-2512-portrait Erases The Plastic Look From Ai Portraits

Qwen-2512-portrait is a LoRA adapter for the Qwen-2512 image model that sharpens human portraits with lifelike facial detail and natural skin. It addresses the common plastic-smoothing problem by preserving realistic skin texture, accurate eyes, and subtle asymmetry. The model is tuned for close-up and mid-range shots, working reliably across studio, natural, and cinematic lighting.
Creator A3xrfgb built this after searching for a high-quality realistic portrait LoRA for Qwen-2512 and finding none that met the standard. He trained it on a carefully curated set of 4K images at 1536×1536 resolution using Nvidia H200 hardware. The result is aimed at users with 24GB or more of video memory, typically advanced hobbyists and small studios running local AI workflows.
Natural skin and accurate gaze
- Preserves identity across prompts.
- Realistic skin with no plastic look.
- Sharp eyes and gaze direction.
- Handles diverse lighting setups.
- Detailed hair strands and edges.
- Supports many ethnicities and face shapes.
- Close-up and mid-shot optimized.
This LoRA is ideal for privacy-minded professionals and small agencies that need consistent, realistic portraits without sending images to cloud services. Owners of higher-end GPUs can run it locally in ComfyUI to generate headshots, AI influencer images, or profile pictures. Hobbyists will appreciate the model’s ability to handle varied lighting and facial features with minimal prompt adjustments.
Training on curated 4K portraits
The creator used a highly selective dataset of 4K images and trained the LoRA at 1536×1536 resolution on an Nvidia H200 GPU. For the best photorealism, he recommends deploying the “Clownsharksampler” with the res_2s sampler and bong_tangent scheduler, while the res_2m sampler paired with beta57 offers a faster, balanced option. The model is not designed for full-body scenes, and extreme lighting prompts or heavy stylization can lower realism.
I couldn't find the best Realistic Qwen-2512 Lora, so I created One.