| license: creativeml-openrail-m | |
| # TARDISfusion | |
| <p> | |
| <img src="https://huggingface.co/Guizmus/Tardisfusion/raw/main/showcase.jpg"/><br/> | |
| This is a Dreamboothed Stable Diffusion model trained on 3 Style concepts.<br/> | |
| The total dataset is made of 209 pictures, and the training has been done on runawayml 1.5 with 2500 steps and the new VAE. | |
| The following tokens will add their corresponding concept :<br/> | |
| <ul> | |
| <li><b>Classic Tardis style</b> : Architectural and furniture style seen inside the TARDIS in the series before the reboot.</li> | |
| <li><b>Modern Tardis style</b>: Architectural and furniture style seen inside the TARDIS in the series after the reboot</li> | |
| <li><b>Tardis Box style</b>: A style made from the TARDIS seen from the outside. Summons a TARDIS anywhere.</li> | |
| </ul> | |
| </p> | |
| ## 🧨 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 | |
| from diffusers import StableDiffusionPipeline | |
| import torch | |
| model_id = "Guizmus/Tardisfusion" | |
| pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16) | |
| pipe = pipe.to("cuda") | |
| prompt = "a bedroom, Classic Tardis style" | |
| image = pipe(prompt).images[0] | |
| image.save("./TARDIS Style.png") | |
| ``` |