    
# Text-to-image finetuning - middles/middles_kanjiv1

This pipeline was finetuned from **CompVis/stable-diffusion-v1-4** on the **middles/kanjiv1** dataset. Below are some example images generated with the finetuned pipeline using the following prompts: ['This is a Japanese Kanji character. Its meaning(s) is/are: climate change']: 

![val_imgs_grid](./val_imgs_grid.png)


## Pipeline usage

You can use the pipeline like so:

```python
from diffusers import DiffusionPipeline
import torch

pipeline = DiffusionPipeline.from_pretrained("middles/middles_kanjiv1", torch_dtype=torch.float16)
prompt = "This is a Japanese Kanji character. Its meaning(s) is/are: climate change"
image = pipeline(prompt).images[0]
image.save("my_image.png")
```

## Training info

These are the key hyperparameters used during training:

* Epochs: 10
* Learning rate: 1e-05
* Batch size: 1
* Gradient accumulation steps: 4
* Image resolution: 512
* Mixed-precision: fp16


More information on all the CLI arguments and the environment are available on your [`wandb` run page](https://wandb.ai/jackokeefe/text2image-fine-tune/runs/jpetmnwg).

{"license": "creativeml-openrail-m", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers"], "datasets": ["middles/kanjiv1"], "base_model": "CompVis/stable-diffusion-v1-4", "inference": true}
diffusers tensorboard safetensors stable-diffusion stable-diffusion-diffusers text-to-image dataset:middles/kanjiv1 base_model:CompVis/stable-diffusion-v1-4 license:creativeml-openrail-m endpoints_compatible diffusers:StableDiffusionPipeline region:us