README.md

---
license: creativeml-openrail-m
base_model: kandinsky-community/kandinsky-2-2-decoder
prior:
- ECLIPSE-Community/Lambda-ECLIPSE-Prior-v1.0
tags:
- λ-ECLIPSE
- ECLIPSE
- kandinsky
- text-to-image
- diffusers
inference: true
---
    
# Finetuning - mpatel57/backpack_dog

This pipeline was finetuned from **kandinsky-community/kandinsky-2-2-decoder**. Below are some example images generated with the finetuned pipeline using the following prompts: ['A dog']: 

![val_imgs_grid](./val_imgs_grid.png)


Note: these example images should not follow the original target concept!! This is to ensure that there is not overfitting.
## Pipeline usage

## Training info

These are the key hyperparameters used during training:

* Epochs: 200
* Learning rate: 1e-05
* Batch size: 1
* Gradient accumulation steps: 4
* Image resolution: 768
* Mixed-precision: None


More information on all the CLI arguments and the environment are available on your [`wandb` run page](https://wandb.ai/apg-cogint/text2image-fine-tune/runs/pkv8k94o).