<h3 id="lora-to-generate-images-of-samus."><span style="color:rgb(250, 176, 5)">LoRA to generate images of Samus.</span></h3><p><span style="color:rgb(34, 139, 230)">Note that you need to specify the blue bodysuit and mole on her cheek if you want to render it in the image.</span></p><p></p>

Samus Aran

SamusAran_HiDreamO1_c1-st2000.safetensors

HiDream-O1 v1.0

Klein4B v1.05

Flux Klein 9B v1.07

Samus Z Image v1.20

Qwen2512 v1.20


# 

## 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: [HiDream-ai/HiDream-O1-Image](https://modelscope.ai/models/HiDream-ai/HiDream-O1-Image)
* Training Code: [DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio)
* Data amount：94
* 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.hidream_o1_image import HiDreamO1ImagePipeline, ModelConfig
import torch

pipe = HiDreamO1ImagePipeline.from_pretrained(
    torch_dtype=torch.bfloat16,
    device="cuda",
    model_configs=[
        ModelConfig(model_id="HiDream-ai/HiDream-O1-Image", origin_file_pattern="*.safetensors"),
    ],
    processor_config=ModelConfig(model_id="HiDream-ai/HiDream-O1-Image"),
)
pipe.load_lora(pipe.dit, ModelConfig(model_id="Zabinzsur/SamusAran_HiDreamO1", origin_file_pattern="SamusAran_HiDreamO1_c1-st6000.safetensors"))
prompt = "a cat"
image = pipe(prompt=prompt, num_inference_steps=30, cfg_scale=4)
image.save("image.jpg")
```


Files with SHA256: e8495ad71ce46423758cfe27aee7159097ce003dbcdf5acf2a889dfc1549be7b