Instructions to use daydreamlive/TemporalNet2-stable-diffusion-2-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use daydreamlive/TemporalNet2-stable-diffusion-2-1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("daydreamlive/TemporalNet2-stable-diffusion-2-1", 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
- Xet hash:
- cc13ec0754ae20ed74041cf7c3f933202cbe5049db95e0402fd14c1143a70127
- Size of remote file:
- 1.4 kB
- SHA256:
- 3ddc16eaf490aa8734f4084dfc222ed3df3547c515efe05102d97248ade3845b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.