elden-ring-diffusion
Maintainer: tstramer
63
| Property | Value |
|---|---|
| Run this model | Run on Replicate |
| API spec | View on Replicate |
| Github link | No Github link provided |
| Paper link | No paper link provided |
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Model overview
elden-ring-diffusion is a fine-tuned version of the Stable Diffusion model, trained on game art from the popular video game Elden Ring. This model can generate images with a distinctive Elden Ring style, capturing the game's dark fantasy aesthetic. Compared to the original Stable Diffusion model, elden-ring-diffusion is specialized for creating content inspired by the Elden Ring universe. Other related AI models include MultiDiffusion, which explores fusing diffusion paths for controlled image generation, and OOT Diffusion, a virtual dressing room application.
Model inputs and outputs
The elden-ring-diffusion model takes in a text prompt as input and generates one or more images as output. The prompt can describe a scene, character, or concept in the Elden Ring style, and the model will attempt to create a corresponding image. The model also accepts parameters such as the number of outputs, the image size, and the seed value for reproducibility.
Inputs
- Prompt: The text prompt describing the desired image in the Elden Ring style
- Seed: The random seed value, which can be left blank to randomize
- Width: The width of the output image, up to a maximum of 1024 pixels
- Height: The height of the output image, up to a maximum of 768 pixels
- Num Outputs: The number of images to generate, up to a maximum of 4
- Guidance Scale: The scale for classifier-free guidance, which controls the influence of the text prompt
- Negative Prompt: Additional text to specify things not to include in the output
- Num Inference Steps: The number of denoising steps to perform during image generation
Outputs
- Image(s): One or more images generated based on the input prompt and parameters
Capabilities
The elden-ring-diffusion model can generate a wide variety of images in the distinctive Elden Ring art style, including portraits of characters, landscapes, and fantastical scenes. The model's capabilities include creating highly detailed, photorealistic images that capture the dark, atmospheric quality of the Elden Ring universe.
What can I use it for?
You can use elden-ring-diffusion to create concept art, character designs, and background illustrations for Elden Ring-inspired projects, such as fan art, indie games, or personal creative endeavors. The model's specialized training on Elden Ring assets makes it well-suited for generating visuals that fit seamlessly into the game's world. Additionally, you could potentially use the model to create unique digital assets for commercial projects, such as book covers, movie posters, or merchandise, as long as you follow the terms of the model's CreativeML OpenRAIL-M license.
Things to try
Experiment with different prompts to see the range of Elden Ring-inspired images the model can generate. Try combining the elden ring style token with other descriptors, such as "dark fantasy", "gothic", or "medieval", to see how the model blends these elements. You can also play with the various input parameters, such as guidance scale and number of inference steps, to fine-tune the output and achieve the desired visual style.
This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!
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