mbiskho/tamlops-image

---
license: creativeml-openrail-m
base_model: stabilityai/stable-diffusion-2-1-base
datasets:
- lambdalabs/pokemon-blip-captions
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---

# Text-to-image finetuning - mbiskho/tamlops-image

## 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