Image & Video

Qwen 2512 Portrait Lora

This Lora model trained on 4K images at 1536x1536 demands 24GB VRAM.

Deep Dive

A Reddit user named DateOk9511 has created a new Lora model for Qwen 2512, designed specifically for generating photorealistic facial portraits. The model was trained on a highly curated dataset of 4K images at 1536x1536 resolution using an Nvidia H200 GPU, and it requires at least 24GB of VRAM to run. The creator claims it's the best realistic Lora for Qwen 2512, leveraging over two years of diffusion model experience.

For optimal results, the user recommends using ComfyUI with the Clownsharksampler for ultimate photographic realism. For maximum quality, they suggest the res_2s sampler with bong_tangent or beta57 scheduler. For balanced speed and quality, the res_2m sampler with beta57 or normal scheduler is recommended. The Lora is available for download on Hugging Face.

Key Points
  • Trained on 4K images at 1536x1536 resolution using Nvidia H200 GPU
  • Requires 24GB VRAM; optimized for ComfyUI with Clownsharksampler
  • Available on Hugging Face; claims best realistic Qwen 2512 Lora

Why It Matters

This Lora pushes Qwen 2512 to new photorealism heights, but only for high-end GPU users.