| license: creativeml-openrail-m | |
| library_name: diffusers | |
| tags: | |
| - text-to-image | |
| - dreambooth | |
| - diffusers-training | |
| - stable-diffusion | |
| - stable-diffusion-diffusers | |
| base_model: stabilityai/stable-diffusion-2-1-base | |
| inference: true | |
| instance_prompt: disney | |
| <!-- This model card has been generated automatically according to the information the training script had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # DreamBooth - lavaman131/cartoonify | |
| This is a dreambooth model derived from stabilityai/stable-diffusion-2-1-base. The weights were trained on disney using [DreamBooth](https://dreambooth.github.io/). | |
| You can find some example images in the following. | |
| DreamBooth for the text encoder was enabled: True. | |
| ## Intended uses & limitations | |
| #### How to use | |
| ```python | |
| # TODO: add an example code snippet for running this diffusion pipeline | |
| ``` | |
| #### Limitations and bias | |
| [TODO: provide examples of latent issues and potential remediations] | |
| ## Training details | |
| [TODO: describe the data used to train the model] |