Anything2Real (Qwen2.1) is a high-resolution I2I LoRA model trained on top of Qwen Image 2.1. Its dataset includes a wide variety of 2D, 3D, and stylized images paired with real-life photographic references.

The model is specifically optimized to transform 2D artwork, anime, illustrations, and other stylized inputs into high-fidelity, cinematic, cosplay-style photographs while preserving the core composition and visual identity of the original image.

Recommended Inference Settings:

• LoRA Weight: 0.8 - 1.0
  Adjust based on the desired style intensity.

• CFG Scale: 1.0 - 4.0
  Use a lower value to stay closer to the reference image, or a higher value for more creative interpretation.

• Steps: 30 - 40

• Sampler / Scheduler: Euler / Beta

Prompt:

Use the following as a base prompt:

"Convert this illustration into a real photograph. Keep the same pose, framing, expression, eye color, outfit, and text."

You can then add any specific features, details, or changes you want the model to focus on.