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:
- 70c7d8afe0945dea986ba556741817dd5b8753a8c74e6a3e32a9f0e72322a066
- Size of remote file:
- 55.4 kB
- SHA256:
- c6f6f671cce79eb6ae9da10ffacf71a5ad001c4a4a0754be7dc0511f8307e619
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