Instructions to use AgustinZL/new-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AgustinZL/new-model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AgustinZL/new-model", 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:
- fb08532304b5ea29a058b5c632c22bf97d2334b7891d794e042f626c9d756f01
- Size of remote file:
- 455 MB
- SHA256:
- d02d5f3296a8ca8505507e01561ff67ee5c6ffd533afeeac7fc9d84b52874faa
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