---
base_model: runwayml/stable-diffusion-v1-5
library_name: diffusers
license: creativeml-openrail-m
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
- diffusers-training
inference: true
---

<!-- 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. -->


# Text-to-image finetuning - nbadrinath/ikea_room_designs_sd1.5_full_finetuning_030720240944

This pipeline was finetuned from **runwayml/stable-diffusion-v1-5** on the **nbadrinath/ikea_dataset_5.0** dataset. Below are some example images generated with the finetuned pipeline using the following prompts: ["Organize your jewelry, makeup, and small items effortlessly with this light pink, three-tier storage box featuring a lid. Measuring 22 cm, it's perfect for sorting and finding what you need easily in your Ikea collection."]: 

![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("nbadrinath/ikea_room_designs_sd1.5_full_finetuning_030720240944", torch_dtype=torch.float16)
prompt = "Organize your jewelry, makeup, and small items effortlessly with this light pink, three-tier storage box featuring a lid. Measuring 22 cm, it's perfect for sorting and finding what you need easily in your Ikea collection."
image = pipeline(prompt).images[0]
image.save("my_image.png")
```

## Training info

These are the key hyperparameters used during training:

* Epochs: 55
* Learning rate: 1e-05
* Batch size: 2
* Gradient accumulation steps: 4
* Image resolution: 512
* Mixed-precision: bf16


More information on all the CLI arguments and the environment are available on your [`wandb` run page](https://wandb.ai/narasimhabadrinath-DigitalOcean/text2image-fine-tune/runs/bojxx7pm).


## 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]