Instructions to use nitrosocke/elden-ring-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nitrosocke/elden-ring-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nitrosocke/elden-ring-diffusion", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
| license: creativeml-openrail-m | |
| **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. | |
| If you enjoy this model, please check out my other models on [Huggingface](https://huggingface.co/nitrosocke) | |
| **Portraits rendered with the model:** | |
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| **Landscape Shots rendered with the model:** | |
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| **Sample images used for training:** | |
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| 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_ |