381-Mars Sci-Fi火星科幻

LORA
Original


Updated:

1. Usage Recommendations

Recommended Model: qwen

Recommended Iteration Steps: 20

Recommended Sampling Method: Euler

Weight: 0.6 - 1.2, with 0.8 being optimal. 【If there is a main subject, the weight should be less than that of the main subject】

2. Model Introduction

This LoRA model is deeply customized for simulating the real - life scenes on the Martian surface. It can accurately capture the unique landforms and environmental characteristics of the Martian surface, presenting a highly realistic Martian landscape in detail. The model is iteratively trained with a vast amount of Mars exploration data, high - definition images, and scientific research materials. It demonstrates excellent generalization ability and scene stability under different Martian regions (such as the Tharsis Plateau, Valles Marineris, and the surroundings of Olympus Mons), observation perspectives (overlooking, 平视,looking up), and lighting conditions (sunlight at different times, diffused light in dust weather, etc.).

In terms of expressiveness, the model is particularly precise in depicting the details of the Martian surface. It can not only reproduce the unique orange - red color and granular texture of Martian soil, as well as the unique textures formed on the rock surface due to long - term weathering, but also perfectly present the hazy effect of the Martian atmosphere, such as the soft halo produced by the scattering of light by dust in the thin atmosphere. At the same time, the model can intelligently balance the integration of various elements in the scene to avoid element abruptness. For example, when presenting Martian mountains, the slope and texture of the mountains are naturally connected to the surrounding terrain. When depicting impact craters on Mars, the size and depth of the craters are coordinated with the surrounding landforms, highlighting the authenticity of the overall scene.

Its powerful scene - simulation engine can exquisitely represent the adaptation logic of different Martian environments and landforms. Whether it is the "serene landform with sparse boulders on the vast plain + low mountains in the distance", the "dynamic scene with scattered rocks beside deep valley cracks + strong winds raising dust", or the "spectacular scene with steep cliffs on the edge of a huge crater + unique volcanic landform textures", it can accurately restore the landform features and environmental atmosphere, creating an immersive sense of reality of the Martian surface for the works. From close - up views of local Martian landforms to panoramic Martian scene construction, this LoRA model can be easily mastered. It is applicable to various scenarios such as scientific research visualization, space - themed art creation, science popularization and education content production, science - fiction film and television scene concept design, and virtual reality Martian experience development, helping creators to produce high - quality real - life Martian surface scene works with rich details.

3. Usage Suggestions

This model is suitable for projects with high requirements for the authenticity, detail richness, and environmental harmony of Martian surface scenes. It can be used in combination with basic terrain models and atmospheric effect detail models to further optimize the creation effect. Adjust the weight and control parameters according to different needs: If you need to highlight the uniqueness of Martian landforms (such as strengthening the rugged shape of mountains and the unique structure of impact craters), the weight can be controlled between 0.6 - 0.9. If you need to focus on showing the authenticity of the Martian environment (such as strengthening the hazy effect of the atmosphere and the dynamic performance of dust), the weight can be adjusted to 0.8 - 1.2. And if there is a clear main body in the scene (such as a core landform feature or a key element), ensure that the weight of this model is lower than that of the main body model to avoid style elements overshadowing the characteristics of the main body.

In terms of parameter details, it is recommended to focus on the following dimensions:

Landform Detail Optimization: Adjust the "soil texture parameters" (such as the fine granular feeling of plain soil and the rough texture of mountain soil) and "rock shape parameters" according to different Martian regions to ensure that the shape and size of rocks conform to the actual geological characteristics of Mars.

Environmental Effect Enhancement: Adjust the "atmospheric scattering parameters" (such as the clarity of the atmosphere on sunny days and the degree of light scattering in dust weather) and "dust dynamic parameters" (such as the height of dust lifted, the direction and speed of floating) according to different lighting and weather conditions.

Scene Atmosphere Adaptation: For serene landform scenes, reduce the "color saturation" to highlight a cold and quiet feeling. For dynamic landform scenes, increase the "contrast of the picture" to highlight the strong visual impact of environmental changes. For spectacular landform scenes, increase the "light and shadow hierarchy" to show the three - dimensional sense of the grand scene, so as to obtain a more suitable rendering effect of the real - life Martian surface scene.

Version Detail

Trained by Tensor
SDXL 1.0
1

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