Instructions to use MDFJ/stable-art-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MDFJ/stable-art-1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MDFJ/stable-art-1", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
| license: apache-2.0 | |
| pipeline_tag: text-to-image | |
| datasets: | |
| - MDFJ/japku | |
| library_name: diffusers | |
| ## What is Stable Art? | |
| Stable Art is an image model where: | |
| CC BY, CC BY-SA, CC0 images and public domain images are used. | |
| image licenses that are NOT used: | |
| - CC BY-NC-ND | |
| - CC BY-NC-SA | |
| - CC BY-NC | |
| - CC BY-ND | |
| Why aren't NC-SA, NC, and ND used? | |
| Here are some explanations: | |
| - NC: You can't use the material for commercial purposes. | |
| - ND: You can't make derivative versions. | |
| For more information in version 4.0: | |
| - [CC BY-NC-ND 4.0](https://creativecommons.org/licenses/by-nc-nd/4.0/) | |
| - [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/) | |
| - [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/) | |
| - [CC BY-ND 4.0](https://creativecommons.org/licenses/by-nd/4.0/) | |
| Stable Art doesn't use just one dataset. It uses multiple datasets per category, for example: | |
| - anime | |
| - realistic | |
| - others |