Instructions to use ayan1988/diffusion.interaction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ayan1988/diffusion.interaction with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ayan1988/diffusion.interaction", 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
- Xet hash:
- 2b918793783611efa7a41776af1daaf7b15f3a9200f3a748b3af660aaa389dd4
- Size of remote file:
- 1.22 GB
- SHA256:
- afa7ebf10b23008ecbb81111e9cc8818443e1302a0defaa0a6cbd8cfe310b278
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.