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---
license: creativeml-openrail-m
tags:
- stable-diffusion
- text-to-image
---
**Elden Ring Diffusion**
This is the fine-tuned Stable Diffusion model trained on the game art from Elden Ring.
Use the tokens **_elden ring style_** in your prompts for the effect.
You can download the latest version here: [eldenRing-v3-pruned.ckpt](https://huggingface.co/nitrosocke/elden-ring-diffusion/resolve/main/eldenRing-v3-pruned.ckpt)
**If you enjoy my work, please consider supporting me**
[](https://patreon.com/user?u=79196446)
### 🧨 Diffusers
This model can be used just like any other Stable Diffusion model. For more information,
please have a look at the [Stable Diffusion](https://huggingface.co/docs/diffusers/api/pipelines/stable_diffusion).
You can also export the model to [ONNX](https://huggingface.co/docs/diffusers/optimization/onnx), [MPS](https://huggingface.co/docs/diffusers/optimization/mps) and/or [FLAX/JAX]().
```python
#!pip install diffusers transformers scipy torch
from diffusers import StableDiffusionPipeline
import torch
model_id = "nitrosocke/elden-ring-diffusion"
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
pipe = pipe.to("cuda")
prompt = "a magical princess with golden hair, elden ring styleA pretty girl is dancing in Indian-inspired attire, replete with feathers, mascots, and eye-catching makeup.
wide angle, The face, black suit, red room, low light key, bitcoin, backdrop Python code, AI in cyber body, dark blue, neon, and dollars are all invisible. achievement, good fortune, future, and luxurious darkness Volumetric lighting, high definition, hyperrealism, octane rendering, Arnold rendering, and 3D Tone Mapping, Post-Production, Tone Mapping, Anti-Aliasing, FKAA, TXAA, RTX, and Megapixel Cinematic Lighting wide angle Full color, volumetric lighting, HDR, realistic, and 8k CGI, VFX, and SFX Maybe add some reflective elements to the space to make some eye-catching shadows. Alternatively, there might be some background lighting from computer screens or other electronics."
image = pipe(prompt).images[0]
image.save("./magical_princess.png")
```
**Portraits rendered with the model:**
**Landscape Shots rendered with the model:**
**Sample images used for training:**
This model was trained using the diffusers based dreambooth training and prior-preservation loss in 3.000 steps.
#### Prompt and settings for portraits:
**elden ring style portrait of a beautiful woman highly detailed 8k elden ring style**
_Steps: 35, Sampler: DDIM, CFG scale: 7, Seed: 3289503259, Size: 512x704_
#### Prompt and settings for landscapes:
**elden ring style dark blue night (castle) on a cliff dark night (giant birds) elden ring style Negative prompt: bright day**
_Steps: 30, Sampler: DDIM, CFG scale: 7, Seed: 350813576, Size: 1024x576_
## License
This model is open access and available to all, with a CreativeML OpenRAIL-M license further specifying rights and usage.
The CreativeML OpenRAIL License specifies:
1. You can't use the model to deliberately produce nor share illegal or harmful outputs or content
2. The authors claims no rights on the outputs you generate, you are free to use them and are accountable for their use which must not go against the provisions set in the license
3. You may re-distribute the weights and use the model commercially and/or as a service. If you do, please be aware you have to include the same use restrictions as the ones in the license and share a copy of the CreativeML OpenRAIL-M to all your users (please read the license entirely and carefully)
[Please read the full license here](https://huggingface.co/spaces/CompVis/stable-diffusion-license) |