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
Commit History
-
Upload README.md with huggingface_hub
Verified signatureb7e8b0e -
Upload unet/diffusion_pytorch_model.safetensors with huggingface_hub
Verified signaturee96371d -
Upload unet/diffusion_pytorch_model.bin with huggingface_hub
Verified signaturef4a3d6c -
Upload unet/config.json with huggingface_hub
Verified signature4ad933c -
Upload model_index.json with huggingface_hub
Verified signature9b74f78 -
Upload folder using huggingface_hub
Verified signature1582ddd -
Upload folder using huggingface_hub
Verified signatured6bc2b2 -
initial commit
Verified signature28c4fd2