---
extra_gated_prompt: |
  By requesting access to OdysseyXL-MK2, you acknowledge and accept all terms outlined in the OdysseyXL-MK2 License. 
  This includes usage restrictions, IP protections, and all responsibilities defined within the license agreement.

license: other
license_name: omk2-l
license_link: LICENSE.md
library_name: diffusers
---
## OdysseyXL-MK2-Alpha

![Grid](./mk2-alpha.png)

-----

### 1\. Model Description

OdysseyXL-MK2-Alpha is an early preview release of the OdysseyXL MK2 line, specifically engineered for **Landscape & Scene Excellence**. It is a custom finetuned realism model designed to generate breathtaking, ultra-realistic environments, cinematic vistas, natural worlds, and complex large-scale scene compositions.

In the OdysseyXL MK2 family, this Alpha release is specialized for:

  * **Alpha:** Exceptional at landscapes, nature, wide shots, environments, scenic realism, and atmospheric depth.
  * **Beta (Upcoming):** Focused on human realism, facial detail, object fidelity, and close-up precision.

#### Key Features

  * **Ultra-Realistic Rendering:** Enhanced fine details, complex materials, and controlled noise.
  * **Environmental Mastery:** Tuned for sweeping environments, realistic ecosystems, and complex spatial composition.
  * **Enhanced Lighting Engine:** Supports natural light, volumetric effects, HDR scenes, and stylized color grading.
  * **Cross-Domain Performance:** High fidelity across landscapes, wildlife, architecture, and cinematic frames.
  * **SDXL-Compatible:** Finetuned on top of SDXL 1.0 for broad ecosystem support.

-----

### 2\. Technical Specifications

| Parameter | Value |
| :--- | :--- |
| **Base Architecture** | Stable Diffusion XL 1.0 |
| **Model Variant** | Custom finetuned realism model (OdysseyXL MK2 Alpha) |
| **Training Strategy** | LoRA + full-model hybrid cycles, High-resolution patch-based training, Multi-domain sampling |
| **Target Output Resolution** | 1024×1024 native |
| **Dataset Composition** | Humans, wildlife, urban scenes, nature photography, cinematic stills |
| **Format** | `.safetensors` |

-----

### 3\. Usage

The model is compatible with the Hugging Face `diffusers` library, as well as popular UIs like ComfyUI and Automatic1111.(Soon)

#### 3.1. Installation via Diffusers

```python
from diffusers import StableDiffusionXLPipeline
import torch

pipe = StableDiffusionXLPipeline.from_pretrained(
    "Spestly/OdysseyXL-MK2-Alpha",
    torch_dtype=torch.float16
).to("cuda")

# Example Usage
prompt = "Ultra-realistic portrait of a tiger in soft morning light, razor-sharp detail, cinematic depth of field"
image = pipe(prompt).images[0]
image.save("tiger.png")
```

#### 3.2. Installation via UIs (ComfyUI / Automatic1111)

1.  Download the model weights (`.safetensors` file) from the Hugging Face repository.
2.  Place the `.safetensors` file in your `models/Stable-Diffusion` directory.
3.  Reload your user interface.

#### 3.3. Recommended Prompting Style

For optimal realism and to leverage the model's environmental tuning, use **concise prompts** and include specific **lighting** and **lens cues**.

  * **Lighting Cues:** `volumetric light`, `soft shadows`, `HDR intensities`, `icy morning light`.
  * **Landscape Cues:** `time of day`, `weather`, `lens focal length` (e.g., `24mm wide-angle lens`).
  * **Wildlife Cues:** `fur detail`, `lens type`, `distance` (e.g., `200mm telephoto lens`).

**Example Prompt:**
`"High-fidelity wildlife portrait of a snow leopard, 200mm telephoto lens, crisp fur detail, icy morning light, natural color grading"`

-----

### 4\. Limitations (Alpha Stage)

This is an early alpha release, and users should be aware of the following known limitations:

  * **Color Shifts:** May occasionally appear in extreme HDR (High Dynamic Range) scenarios.
  * **Anatomical Inconsistencies:** Rare poses may exhibit minor anatomical inaccuracies, particularly with humans and wildlife.
  * **Multi-Character Scenes:** Composition and consistency for scenes involving multiple subjects are still under active tuning.
  * **Close-up Wildlife:** Wildlife generated at extreme close-up distances may require careful negative prompting to maintain fidelity.

-----

### 6\. License and Acknowledgements

**License:** This model is released under a **OMK2-L**. Users must review the license file in the repository for full terms and commercial use stipulations.

**Acknowledgements:** Special thanks to the OdysseyXL research line, contributors, and testers whose efforts were instrumental in shaping the MK2 Alpha release.

-----

### 7\. Contact and Contributions

For collaboration, testing access, integration inquiries, or to report issues, please open an issue on the repository or contact the model maintainer directly.

**Model Maintainer:** Aayan Mishra