Instructions to use arnaudstiegler/gameNgen-baseline-20ksteps with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use arnaudstiegler/gameNgen-baseline-20ksteps with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("arnaudstiegler/gameNgen-baseline-20ksteps", 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:
- a7abc3776654925c7b685f738b7dfa9d43374ee3e0b194da74cc2471f59783a4
- Size of remote file:
- 56.6 kB
- SHA256:
- 42f4f8ab029412e0e1f033f6f4144ff04103459a42da9a7ef2290530eab482e7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.