This is a result of a test as I tried to capture the rooms atmosphere of the TV series Star Trek TNG for a UFP cruise starship like the one you find on my <a target="_blank" rel="ugc" href="https://www.deviantart.com/murbytrek/art/UFP-Starliner-SS-RULE-NFT-2294-1377903584">deviantart page</a>. No Person/Character was explicitly trained in this Lora, only these rooms images generated with Gemini:<ul><li>Arboretum</li><li>Bath</li><li>Bedroom</li><li>Bridge</li><li>Briefing Room</li><li>Cargo Bay, Hangar</li><li>Casino Gameroom</li><li>Clothing Store</li><li>Corridor</li><li>Dance Floor</li><li>Engineering</li><li>Gym</li><li>Holodeck</li><li>Reception</li><li>Ready Room</li><li>Sauna</li><li>Sickbay</li><li>Swimming Pool</li><li>Transporter Room</li></ul>My others lora training <span style="background-color:rgb(26, 27, 30);color:rgb(193, 194, 197);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">with <a target="_blank" rel="ugc" href="https://modelscope.ai/profile/caciotta">Modelscope Civision.</a>Tell me what you think. Every contribution, even the smallest, truly makes a difference. Thank you for everything, even just for reading this introduction.Star Trek ® is a registered trademark of CBS Studios Inc in the United States Patent and Trademark Office, this fan art is not created for profit.

Star Trek TNG Starliner Interior Style

My others lora training with <a target="_blank" rel="ugc" href="https://modelscope.ai/profile/caciotta">Modelscope Civision.</a>

StarTrek-UFP-Starliner_c1-st4000.safetensors

Z-Image Turbo

Flux.2 Klein9B-base

Qwen


# 

## 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：21
* 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-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="caciotta/StarTrek-UFP-Starliner", origin_file_pattern="StarTrek-UFP-Starliner_c1-st6000.safetensors"))
prompt = "a cat"
image = pipe(prompt=prompt, num_inference_steps=8, cfg_scale=1)
image.save("image.jpg")
```


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