Instructions to use lauluCas/turtles with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lauluCas/turtles with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lauluCas/turtles", 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:
- ed83fd0e161e0f534135352e7b82065c175a8981b6f5efa621078671ed00a0b1
- Size of remote file:
- 74.3 MB
- SHA256:
- 301a30f1bae20f498540088e14f54b1b97452ecfc1a57e74496a6bca102f458b
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