Instructions to use AgustinZL/new-model2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AgustinZL/new-model2 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-model2", 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:
- d4e5b350b56817a1d38a4c0b421236ddfe27c5997b7c324e4e11ae728da348b6
- Size of remote file:
- 455 MB
- SHA256:
- 265a4b2edd6457dc3fb8e1f8d71fd6a3dd6d009d1fb5874ade8726cbd3060c50
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