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:
- 5ab6b97cd220a0321588bb3754c3b518d74ec5e4c9c04eafbc4e7a3f5eb760b4
- Size of remote file:
- 3.44 GB
- SHA256:
- 3b6d264655e31e221d8cc6b05ed84aab52dfd5ff6a21d49f1cde4907d7db10cf
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