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:
- 3c402c804d79f3c439b9916495ddb2c77c128ffd71a016df2c04c574983030a7
- Size of remote file:
- 892 Bytes
- SHA256:
- aeb4a1a070539baff18a1d43196cbc1e09736a1d8b1cba0a6753f4a09bbad7b3
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