Instructions to use uripper/GIANNIS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use uripper/GIANNIS with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("uripper/GIANNIS", 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
- Xet hash:
- fdbb3774728a9332b831ffd48e13108f4be2d3af154b6a7aa98bf71ee6faea27
- Size of remote file:
- 455 MB
- SHA256:
- f5c69294c3a9aa562e223adc0fadf443f906bdee035beaa4924de8d8244ed75a
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