Instructions to use Niggendar/GsusKato with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Niggendar/GsusKato with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Niggendar/GsusKato", torch_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:
- abbf4539a77f56facc08cf3b734e60b6ea217600506b2c9b348a0197bff6a7ac
- Size of remote file:
- 1.39 GB
- SHA256:
- 17c1e0dc0f855c4b6e3fb299b90a6d017acc01dbb2617b8cf9f2525450e32c8b
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