## Pipeline usage

You can use the pipeline like so:

```python
from diffusers import DiffusionPipeline
import torch

pipeline = DiffusionPipeline.from_pretrained("mbiskho/tamlops-image", torch_dtype=torch.float16)
image = pipeline(prompt).images[0]
image.save("my_image.png")
```

## Training info

These are the key hyperparameters used during training:

* Epochs: 1
* Learning rate: 0.001
* Batch size: 1
* Gradient accumulation steps: 1
* Image resolution: 10
* Mixed-precision: None