A newer version of this model is available: Qwen/Qwen-Image-Edit-2511

Anything to Real Characters 2511

Prompt
transform the image to realistic photograph

Model description

2511_Anything to Real Characters [Official Release] Description This is a specialized LoRA designed to transform anime/stylized images into high-quality, photo-realistic real-life characters. Updated to the Qwen Image Edit 2511 version.

Training Details: Total Steps: 30,900 Dataset: 103 high-quality pairs (206 images total) Special Thanks: * chuxinzhongmo (Contributed 7 images) @Atimea tangmupidashu (Contributed 2 images)

Trigger words

You should use transform the image to realistic photograph to trigger the image generation.

Effect Showcase

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Optimizations (Change Log)

Face Consistency: Significantly improved facial stability and responsiveness to text prompts.

Expression Preservation: Enhanced the accuracy of capturing original character expressions.

Character Diversity: Better results for various demographics, including children, men, and women.

Realism Boost: Drastically improved skin textures and overall photographic quality.

Background Realism: Added a dedicated dataset for environment reconstruction to ensure backgrounds look authentic and natural.

Prompting Guide

Core Trigger Prompt: transform the image to realistic photograph

Auxiliary Prompts (Use as needed):

normal body proportions: Use this if the original anime character has exaggerated anatomy.

half-body shot: To adjust the framing to a medium shot.

zoom out: To increase the distance between the camera and the subject.

1man: Use if the model incorrectly identifies the gender.

moist skin: To add a subtle wet/dewy skin effect.

Recommended Settings

CFG Scale: 4

Sampling Steps: 30

It is recommended to use it on the Qwen image Edit 2511 bf16 model!

Model link: https://huggingface.co/Qwen/Qwen-Image-Edit-2511

Base Version (2509):https://huggingface.co/WarmBloodAban/Anything_to_Real_Characters

Online experience:

You can click on the link below to try it out directly. If the effect is good, you can deploy it locally https://www.runninghub.ai/post/2009527411641159681/?inviteCode=sdhs0trb

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