This is a private version trained on larger training parameters. Compared with the beta version, it delivers better performance in detail rendering, generalization and high-resolution output. This version is available only to my supporters. Resale is strictly prohibited. Please let me know if you find anyone selling it.

LoRA Capability: Convert any image into a realistic photo

LoRA Type: Edit‑LoRA

Model Type: Krea2

Trigger word: photorealistic

This is arguably the best A2R to date, boasting powerful associative capabilities and realistic reconstruction performance. This is the private version. Unlike the beta version published on Civitai, the official version has undergone retraining based on the beta, with an increased number of parameters and higher training precision. As a result, it delivers better performance across multiple tests, as detailed below.

LoRA Features:

First and foremost, it features powerful photo‑realistic reconstruction capabilities. Every detail, from hair strands to skin textures, is reproduced with pinpoint accuracy. Even if the input does not contain such fine‑grained rendering, it will still realistically reconstruct the output at high‑definition quality levels.

More datasets of diverse styles have been added, enabling the model to offer better support for various drawing styles.

It possesses extremely strong image recognition capabilities. Even abstract images can be identified and realistically reconstructed by it.

The previous A2R could not process 3D images, as it would mistake 3D images for photorealistic photos. I have made special optimizations in this regard, and it now features improved 3D recognition capabilities.

The level of realism has also reached an entirely new height, with richer layers in light‑and‑shadow rendering now.

Even with special effects included, it does not rigidly pursue consistency with the input; instead, it leans closer to cinematic‑grade performance.

The photorealistic reproduction of scenes has been greatly improved. Even for complex scenes, the issue where characters appear photorealistic while the background remains hand‑drawn no longer occurs.

It offers better compatibility with‑poster‑style illustrations, and the generated outputs also carry the unique stylistic traits of that era.

It features better color inheritance. When the input is a black‑and‑white image, it will not arbitrarily add colors, but generate an identical black‑and‑white photo instead.

Better support for multi‑character or complex scenes.

The above are multiple dimensions of my tests, yet I feel its limits have not been reached. I have to say that this LoRA is the best A2R model I have tested so far. This is not merely because I trained it, but because it has effectively solved numerous long‑standing problems plaguing A2R models. Its performance is particularly impressive in large‑scale scenes and 3D visuals. When paired with its dedicated workflow, the directly‑output 4K‑level high‑definition photos are exceptionally delicate and natural, pushing photorealistic imagery to an entirely new level.

✨Member Event✨:

This LoRA + workflow is exclusive to LV3/LV4 users. Users who are not LV3/LV4 need not be disappointed. I will randomly select members every week to give away the official version of this LoRA. Whether you are an LV1 or LV2 user, leave a comment "✨All2Real✨" under this post now, and you will stand a chance to receive this gift. Hopefully you will be the next lucky winner.

Here are more test results:

OK! That's all! I hope you like it!

If you enjoy my sharing, you are welcome to join my private club. If you are already a member, you can get the project files for this sharing directly below. 👇👇👇

🫡May the AI-power be with you, see you soon!🫡

Disclaimer: My model or workflow is solely for learning and communication purposes and shall not be used for any commercial activities. All responsibilities for the generated content, including its legality, ethical implications, or potential misuse, are borne entirely by the user. By using this model or workflow, you agree to this principle. Please use it responsibly within the scope of local laws.

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