Instructions to use EarthnDusk/IdentityDisorder-Mix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EarthnDusk/IdentityDisorder-Mix with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("EarthnDusk/IdentityDisorder-Mix", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 56fdef8bafea82023bd6e9b9a0a4dccf0b711da13c07853e68e7a433f60e1f65
- Size of remote file:
- 3.44 GB
- SHA256:
- 8e6e95369a27eaebf48302b1cb7a00baa07c8657a00cd20521175c97a74c6d00
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.