Instructions to use qingyuyang/DiT-Custom-not01-256 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use qingyuyang/DiT-Custom-not01-256 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("qingyuyang/DiT-Custom-not01-256", 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
- Xet hash:
- 4a71dc969e5f7d546c6a59c87ba6cdc9f223b19b33209f72b57895d5f50ec680
- Size of remote file:
- 2.29 MB
- SHA256:
- c843df90907fd128c3abee2c91db92566a3ceb39a7bd7ef3d0d38512720953bf
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.