Instructions to use arnomatic/seacreatures with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use arnomatic/seacreatures with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("arnomatic/seacreatures", dtype=torch.bfloat16, device_map="cuda") prompt = "underwater" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download text_encoder/pytorch_model.bin from arnomatic/seacreatures: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/arnomatic/seacreatures/resolve/refs%2Fpr%2F3/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://arnomatic/seacreatures@refs/pr/3/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/arnomatic/seacreatures/resolve/refs%2Fpr%2F3/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 2f1b83a2d491021bd8b963d06e274b5e5414dbca5b48d4b894d95a36701fd892
- Size of remote file:
- 492 MB
- SHA256:
- 52c1d22082b9e03ec7b182230a134a9b1bbf87069ab6df1bb1f363d019281b63
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