--- license: creativeml-openrail-m library_name: diffusers tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image - diffusers - diffusers-training inference: true base_model: runwayml/stable-diffusion-v1-5 --- # Text-to-image finetuning - mickuz/dogcat-finetuned-model This pipeline was finetuned from **runwayml/stable-diffusion-v1-5** on the **mickuz/dogcatdataset** dataset. Below are some example images generated with the finetuned pipeline using the following prompts: None: ## Training info These are the key hyperparameters used during training: * Epochs: 34 * Learning rate: 1e-05 * Batch size: 1 * Gradient accumulation steps: 4 * Image resolution: 512 * Mixed-precision: fp16 ## 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]