Instructions to use diff-mining/ftt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diff-mining/ftt with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("diff-mining/ftt", torch_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
metadata
license: mit
Citation
@misc{siglidis2024diffusionmodelsdatamining,
title={Diffusion Models as Data Mining Tools},
author={Ioannis Siglidis and Aleksander Holynski and Alexei A. Efros and Mathieu Aubry and Shiry Ginosar},
year={2024},
eprint={2408.02752},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2408.02752},
}