Instructions to use daydreamlive/TemporalNet2-stable-diffusion-v1-5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use daydreamlive/TemporalNet2-stable-diffusion-v1-5 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-v1-5", 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:
- 8e3b5fe1bddb76a167a5c53196ad11c908b3477fd98e279966d83e9f16942ff5
- Size of remote file:
- 1.45 GB
- SHA256:
- 18f0f0de45f1aee85382b7e3194b9e1c4ed8f7cccd4315fe58af8db922920397
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