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base_model: CompVis/stable-diffusion-v1-4
library_name: diffusers
license: creativeml-openrail-m
inference: true
instance_prompt: a photo of <cat2>
tags:
- text-to-image
- diffusers
- stable-diffusion
- stable-diffusion-diffusers
- custom-diffusion
- diffusers-training
- text-to-image
- diffusers
- stable-diffusion
- stable-diffusion-diffusers
- custom-diffusion
- 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. -->
# Custom Diffusion - Andy9310/saved_cat2_model
These are Custom Diffusion adaption weights for CompVis/stable-diffusion-v1-4. The weights were trained on a photo of <cat2> using [Custom Diffusion](https://www.cs.cmu.edu/~custom-diffusion). You can find some example images in the following.
For more details on the training, please follow [this link](https://github.com/huggingface/diffusers/blob/main/examples/custom_diffusion).
## 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] |