Instructions to use smoothieAI/smoothie_2d_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use smoothieAI/smoothie_2d_v1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("smoothieAI/smoothie_2d_v1", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Download text_encoder/pytorch_model.bin from smoothieAI/smoothie_2d_v1: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/smoothieAI/smoothie_2d_v1/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://smoothieAI/smoothie_2d_v1/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/smoothieAI/smoothie_2d_v1/resolve/main/text_encoder/pytorch_model.bin
246 MB
- Xet hash:
- 94c5bfa06e2f1053677a7e7bc00596583a31b764cb8951d2822ac6bfae731d92
- Size of remote file:
- 246 MB
- SHA256:
- 32d365e63ebc09a2e4cc37e15e45ffa729b852ad6ce9ccd47938b519abf4810d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.