#!pip install diffusers transformers scipy torchfrom 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 style"
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:
You can't use the model to deliberately produce nor share illegal or harmful outputs or content
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
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
Runs of Kardbord elden-ring-diffusion-unsafe on huggingface.co
30
Total runs
0
24-hour runs
2
3-day runs
2
7-day runs
24
30-day runs
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