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
# 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]
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Model tree for mickuz/dogcat-finetuned-model
Base model
runwayml/stable-diffusion-v1-5