Rennie — Krea 2 Character LoRAOriginal AI character for portraits, fashion and everyday scenes.Trigger word: r3fwoman Recommended strength: 0.7–0.85This is a fully original AI-generated character. Any resemblance to real persons is purely coincidental.A little note: The training images were intentionally generated without any fixed hairstyle or makeup — so Rennie doesn’t get stuck with one look. Before sending her out, give her some hair and makeup. You’re her stylist 😊Example: r3fwoman, attractive 40 year old woman with dark wavy hair in a polished elegant style, refined makeup with winged eyeliner, light smile

Rennie - Krea 2 Character

Rennie-zimg_c1-st6000.safetensors

v1.0 z-image

v1.0 Krea2


# 

## 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](https://modelscope.ai/models/Tongyi-MAI/Z-Image)
* Training Code: [DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio)
* Data amount：92
* Total training steps：6000
* 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", origin_file_pattern="transformer/*.safetensors"),
        ModelConfig(model_id="Tongyi-MAI/Z-Image", origin_file_pattern="text_encoder/*.safetensors"),
        ModelConfig(model_id="Tongyi-MAI/Z-Image", origin_file_pattern="vae/diffusion_pytorch_model.safetensors"),
    ],
    tokenizer_config=ModelConfig(model_id="Tongyi-MAI/Z-Image", origin_file_pattern="tokenizer/"),
)
pipe.load_lora(pipe.dit, ModelConfig(model_id="u3er852/Rennie-zimg", origin_file_pattern="Rennie-zimg_c1-st6000.safetensors"))
prompt = "a cat"
image = pipe(prompt=prompt, num_inference_steps=50, cfg_scale=4)
image.save("image.jpg")
```


Files with SHA256: 30d07d03b1de0a8fe9043c539d728fc417064f276c7173f49c5b1d6b6cb1341b