Instructions to use Croscot/carritos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Croscot/carritos with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Croscot/carritos", 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:
- c6405224a260aaf8ef2f61cc98335cfc4462e8e22af8857f975c9b75a6bcaba1
- Size of remote file:
- 910 MB
- SHA256:
- 4f53357c2741c959aea70a3ee8f9b20a1c9355dd96829b7b3b2b4e2fbfa20147
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