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---
datasets:
- cQueenccc/Vivian-Blip-Captions
language:
- en
pipeline_tag: text-to-image
---
# Disclaimer
This was inspired from https://github.com/YaYaB/finetune-diffusion
# Model Card for Finetuning Stable Diffusion on Vivian Maier's photographs
The main goal is to fine-tune the Stable Diffusion model to generate images reflecting the distinct photographic style of Vivian Maier.
And I chose to utilize a Jupyter Notebook to make the fine-tuning process accessible and easy to understand, particularly for those new to the diffusion pipeline and hugging face API.
# Requirements
To launch the finetuning with a batch_size of 1 you need to have a gpu with at least 24G VRAM (you can use accumulating gradient to simulate higher batch size)
Make sure that you have enough disk space, the model uses ~11Gb
## Examples(at epoch 90)
> A woman walking down a street
> a group of people getting on a bus
> two man working on a constructing site
## Citation
If you use this dataset, please cite it as:
```
@misc{cqueenccc2023vivian,
author = {cQueenccc},
title = {Finetuning Stable Diffusion on Vivian Maier's photographs},
year={2023},
howpublished= {\url{https://huggingface.co/cQueenccc/Fine-Tune-Diffusion-Vivian/}}
}
``` |