Elden Ring Diffusion
| Property | Value |
|---|---|
| License | CreativeML OpenRAIL-M |
| Downloads | 2,282 |
| Community Rating | 320 likes |
| Training Steps | 3,000 |
What is elden-ring-diffusion?
Elden Ring Diffusion is a specialized fine-tuned version of Stable Diffusion, specifically trained on artwork from the popular game Elden Ring. Created by nitrosocke, this model enables users to generate images that capture the distinctive dark fantasy aesthetic of the game. The model has been trained using diffusers-based dreambooth training with prior-preservation loss, ensuring high-quality outputs that maintain the game's unique artistic style.
Implementation Details
The model is implemented using the Stable Diffusion pipeline and can be easily integrated using the HuggingFace Diffusers library. It supports various optimization options including ONNX, MPS, and FLAX/JAX compatibility.
- Utilizes PyTorch with float16 precision for optimal performance
- Supports custom image dimensions (512x704 for portraits, 1024x576 for landscapes)
- Implements DDIM sampler with configurable steps (30-35 recommended)
- CFG scale of 7 for optimal results
Core Capabilities
- Generation of character portraits in Elden Ring style
- Creation of atmospheric landscape scenes
- Support for both portrait and landscape aspect ratios
- Specialized prompt token "elden ring style" for style control
Frequently Asked Questions
Q: What makes this model unique?
This model specializes in recreating the distinct dark fantasy aesthetic of Elden Ring, offering a dedicated solution for creating artwork in this specific style. It has been trained on carefully curated game art and offers consistent results when using the "elden ring style" token in prompts.
Q: What are the recommended use cases?
The model excels at generating character portraits and fantasy landscapes in the Elden Ring style. It's particularly suitable for game art inspiration, fantasy character design, and creating atmospheric environmental concepts.
