| | --- |
| | license: creativeml-openrail-m |
| | library_name: diffusers |
| | tags: |
| | - stable-diffusion-xl |
| | - stable-diffusion-xl-diffusers |
| | - text-to-image |
| | - diffusers-training |
| | - diffusers |
| | base_model: stabilityai/stable-diffusion-xl-base-1.0 |
| | inference: true |
| | --- |
| | |
| | <!-- 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. --> |
| |
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|
| | # Text-to-image finetuning - binyangs/sdxl-pokemon-model_unconditional |
| | |
| | This pipeline was finetuned from **stabilityai/stable-diffusion-xl-base-1.0** on the **'car-depth'** dataset. Below are some example images generated with the finetuned pipeline using the following prompt: car depth: |
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| | Special VAE used for training: madebyollin/sdxl-vae-fp16-fix. |
| | |
| | |
| | ## 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] |