🧠 Model Description LoRA Name: MEGAN Base Model: Z IMAGE TURBO Type: Character LoRAAge: 23 Gender: FEMALE<h2 id="this-is-a-series-of-lora-models-derived-from-3d-characters-that-i-created-using-metahuman-in-the-unreal-engine.-the-images-in-the-dataset-were-processed-through-flux-klein-9b-before-training-to-give-them-a-sense-of-photorealism.-however-the-uncanny-valley-effect-is-still-present.">This is a series of LORA models derived from 3D characters that I created using Metahuman in the Unreal Engine. The images in the dataset were processed through Flux Klein 9B before training to give them a sense of photorealism. However, the uncanny valley effect is still present.</h2> This LoRA is designed to consistently and accurately recreate the characte MEGAN, including facial features, body type, visual style, typical appearance, and micro-expressions. Sometimes a small mole or spot may appear on the face because I wanted to experiment with a retouched character. I'm not sure if it will be released or how. We're here to experiment!⚙️ Recommended Parameters (ComfyUI) Steps: 17/20 Sampler: Euler Prompt Format: simpleRecommended settings: LoRA weight: 0.9 – 1.1 Aspect Ratio: 4:3 , 5:8 ,9:16 (PORTRAIT)Suggested terms for prompt: M3G4N A WOMAN,and the rest of the prompt<h3 id="this-model-was-trained-using-an-image-that-i-had-discarded-but-then-retrieved.-my-search-continues-for-unique-faces-that-stand-out-from-the-glossy-perfect-standards-typical-of-ai.-any-suggestions-or-advice-are-welcome!if-you-like-my-lora-and-want-to-support-me-you-can-consider-sending-me-buzzes-or-even-better-you-can-sign-up-for-runpod-using-my-link.-runpod-referrals:-https:runpod.ioref72iobbrkyou-would-be-helping-me-greatly-to-continue-this-work-and-make-the-new-models-available-to-everyone.">This model was trained using an image that I had discarded but then retrieved. My search continues for unique faces that stand out from the glossy, perfect standards typical of AI. Any suggestions or advice are welcome! If you like my Lora and want to support me, you can consider sending me buzzes, or even better, you can sign up for Runpod using my link. <span style="background-color:rgba(34, 139, 230, 0.15);color:rgb(250, 176, 5);font-family:-apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Helvetica, Arial, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;;font-size:16px">Runpod referrals: <a target="_blank" rel="ugc" href="https://runpod.io?ref=72iobbrk"><span style="background-color:rgba(34, 139, 230, 0.15);color:rgb(250, 176, 5);font-family:-apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Helvetica, Arial, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;;font-size:16px">https://runpod.io?ref=72iobbrk</a> You would be helping me greatly to continue this work and make the new models available to everyone.</h3>If you have any requests for a real character, please contact me and we'll see what we can do! (Please don't ask me for NSFW model, as I don't do that.)

MEGAN (Fictional character) UNCANNY VOL 4

Megan_c1-st3000.safetensors

v1.0


# 

## Model Introduction

This model is trained using the [Civision/model training](https://modelscope.ai/civision/modelTraining) environment and computing resources provided by ModelScope.

* Model Type: LoRA
* Base Model: [Tongyi-MAI/Z-Image-Turbo](https://modelscope.ai/models/Tongyi-MAI/Z-Image-Turbo)
* Training Code: [DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio)
* Data amount：36
* Total training steps：3000
* License: Apache-2.0

## Inference Code

Install [DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio):

```bash
pip install diffsynth
```

Inference:

```python
from diffsynth.pipelines.z_image import ZImagePipeline, ModelConfig
import torch

pipe = ZImagePipeline.from_pretrained(
    torch_dtype=torch.bfloat16,
    device="cuda",
    model_configs=[
        ModelConfig(model_id="Tongyi-MAI/Z-Image-Turbo", origin_file_pattern="transformer/*.safetensors"),
        ModelConfig(model_id="Tongyi-MAI/Z-Image-Turbo", origin_file_pattern="text_encoder/*.safetensors"),
        ModelConfig(model_id="Tongyi-MAI/Z-Image-Turbo", origin_file_pattern="vae/diffusion_pytorch_model.safetensors"),
    ],
    tokenizer_config=ModelConfig(model_id="Tongyi-MAI/Z-Image-Turbo", origin_file_pattern="tokenizer/"),
)
pipe.load_lora(pipe.dit, ModelConfig(model_id="ROLENZIO/Megan", origin_file_pattern="Megan_c1-st3000.safetensors"))
prompt = "a cat"
image = pipe(prompt=prompt, num_inference_steps=8, cfg_scale=1)
image.save("image.jpg")
```


Files with SHA256: 03059cab14cd7a174efd153622856a025d6de7590a505ea418b0794527d18764