README.md

---
base_model: nota-ai/bk-sdm-tiny
datasets:
- ChristophSchuhmann/improved_aesthetics_6.5plus
library_name: diffusers
license: creativeml-openrail-m
pipeline_tag: text-to-image
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- openvino
- openvino-export
extra_gated_prompt: "This model is open access and available to all, with a CreativeML\
  \ OpenRAIL-M license further specifying rights and usage.\nThe CreativeML OpenRAIL\
  \ License specifies: \n\n1. You can't use the model to deliberately produce nor\
  \ share illegal or harmful outputs or content \n2. The authors claim no rights on\
  \ the outputs you generate, you are free to use them and are accountable for their\
  \ use which must not go against the provisions set in the license\n3. You may re-distribute\
  \ the weights and use the model commercially and/or as a service. If you do, please\
  \ be aware you have to include the same use restrictions as the ones in the license\
  \ and share a copy of the CreativeML OpenRAIL-M to all your users (please read the\
  \ license entirely and carefully)\nPlease read the full license carefully here:\
  \ https://huggingface.co/spaces/CompVis/stable-diffusion-license\n    "
extra_gated_heading: Please read the LICENSE to access this model
---

This model was converted to OpenVINO from [`nota-ai/bk-sdm-tiny`](https://huggingface.co/nota-ai/bk-sdm-tiny) using [optimum-intel](https://github.com/huggingface/optimum-intel)
via the [export](https://huggingface.co/spaces/echarlaix/openvino-export) space.

First make sure you have optimum-intel installed:

```bash
pip install optimum[openvino]
```

To load your model you can do as follows:

```python
from optimum.intel import OVStableDiffusionPipeline

model_id = "hsuwill000/bk-sdm-tiny-openvino"
model = OVStableDiffusionPipeline.from_pretrained(model_id)
```