| base_model: hf-internal-testing/tiny-stable-diffusion-torch | |
| library_name: diffusers | |
| license: creativeml-openrail-m | |
| inference: true | |
| tags: | |
| - stable-diffusion | |
| - stable-diffusion-diffusers | |
| - text-to-image | |
| - diffusers | |
| - textual_inversion | |
| - diffusers-training | |
| <!-- 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. --> | |
| # Textual inversion text2image fine-tuning - katuni4ka/textual_inversion_cat | |
| These are textual inversion adaption weights for hf-internal-testing/tiny-stable-diffusion-torch. You can find some example images in the following. | |
| ## 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] |