Name: Anything2Real
Author: lrzjason

Overview

Anything2Real is a specialized image-to-image translation model designed to bridge the gap between stylized or synthetic inputs and photorealistic outputs. For developers, this means the ability to convert sketches, digital illustrations, or AI-generated art into images that mimic real-world photography without losing the structural integrity of the original composition. It is particularly useful for rapid prototyping in design pipelines, architectural visualization, and enhancing synthetic datasets. Licensed under Apache-2.0, it offers a flexible integration path for commercial applications. Compared to general-purpose diffusion models, Anything2Real focuses specifically on realism transfer, reducing the need for complex prompt engineering to achieve a 'natural' look.

Highlights

Converts stylized images into high-fidelity photorealistic visuals
Preserves structural composition during the image translation process
Apache-2.0 license ensures flexible commercial integration
Streamlines design workflows by reducing manual retouching
Optimized for consistent realism across various input types

Usage

Install

# Install Hugging Face transformers
pip install transformers torch

SDK Usage

# Load model with transformers
from transformers import AutoModel, AutoTokenizer

model = AutoModel.from_pretrained("lrzjason/Anything2Real")
tokenizer = AutoTokenizer.from_pretrained("lrzjason/Anything2Real")

Hugging Face Download

We recommend downloading the model via the Hugging Face CLI or Hub SDK.

Guidance：Before downloading, install huggingface_hub with:

Guidance

pip install -U huggingface_hub

CLI Download

Download the full repository

huggingface-cli download lrzjason/Anything2Real

Download a single file to a local folder (e.g. config.json into ./dir)

huggingface-cli download lrzjason/Anything2Real config.json --local-dir ./dir

See the official docs for more CLI options

SDK Download

# 模型下载
from huggingface_hub import snapshot_download
model_dir = snapshot_download('lrzjason/Anything2Real')

Git Download

Make sure git-lfs is installed first

Git Download

git lfs install
git clone https://huggingface.co/lrzjason/Anything2Real

To skip LFS large-file downloads, use:

Skip LFS

GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/lrzjason/Anything2Real

Model files are hosted on the Hugging Face Hub — download directly via HF CLI / SDK / Git, not through this site.

PyTorch / Transformers Usage

Install Transformers

pip install -U transformers torch

Load the model and run inference

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained('lrzjason/Anything2Real')
tokenizer = AutoTokenizer.from_pretrained('lrzjason/Anything2Real')

Full Documentation

来源: HuggingFace

---
license: apache-2.0
base_model:

Qwen/Qwen-Image-Edit-2511

library_name: diffusers
tags:

lora

pipeline_tag: image-to-image
---

[RELEASE] New Version of Anything2Real LoRA - Transform Any Art Style to Photorealistic Images Based On Flux2 Klein

f2k_anything2real.safetensors is more 3D like version
f2k_anything2real_a.safetensors based on f2k_anything2real.safetensors to adjust the realistic style

[RELEASE] New Version of Anything2Real LoRA - Transform Any Art Style to Photorealistic Images Based On Qwen Edit 2511

Hey Stable Diffusion community! 👋

I'm excited to share the new version of Anything2Real family, Anything2Real 2601 A.
Anything2Real 2601 A is an adjusted version based on Anything2Real 2601 and remixed the layer weight of anything2real alpha.
Anything2Real 2601 is kinda weak of eyes transformation and anything2real alpha is quite good at light and shadow but weak at color.
Anything2Real 2601 A is a more balanced version between "respect to original" and "realistic environemnt"

Alpha Dataset: lrzjason/Anything2Real_demo_dataset

🔗 Civitai: https://civitai.com/models/2121900/qwen-edit-2511-anything2real-2601

🎯 What It Does

This LoRA is designed to convert illustrations, anime, cartoons, paintings, and other non-photorealistic images into convincing photographs while preserving the original composition and content.

⚙️ How to Use

Base Model: Qwen Edit 2511 (mmdit editing model)

Recommended Strength: 1-0.75

Prompt Template:

code

change the picture 1 to realistic photograph, [description of your image]

Adding detailed descriptions helps the model better understand content and produces superior transformations (though it works even without detailed prompts!)

📺 Example Workflow

Check out this practical implementation example on RunningHub: https://www.runninghub.ai/post/1988649905554112513/?inviteCode=rh-v1279

Node Information:

21 nodes including CLIPLoader, ConditioningZeroOut, ImageScaleBy, KSampler, LoadImage, LoraLoaderModelOnly, and specialized Qwen Edit nodes

Powered by RTX 4090 Series

📌 Important Notes

“realism” is inherently subjective, first modulate strength or switch base models rather than further increasing the LoRA weight.

Should realism remain insufficient, blend with an additional photorealistic LoRA and adjust to taste.

Your feedback and examples would be incredibly valuable for future improvements!

💡 Why I Created This

I wanted to bridge the gap between artistic creations and photorealistic results without having to start from scratch. Whether you're an artist wanting to see your characters in realistic form, or just curious about transforming your favorite art styles into photographs, this tool is for you!

I'd love to see what you create with Anything2Real! Please share your results and suggestions in the comments. Every test case helps improve the next version.

---

*Note: For best results, follow the workflow demonstrated in the RunningHub example. Feel free to reach out with questions or collaboration ideas!*

Contact

Feel free to reach out via any of the following channels: Twitter: @Lrzjason Email: [email protected] QQ Group: 866612947 WeChat ID: fkdeai CivitAI: xiaozhijason