Instructions to use marulyanova/first-step-sb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use marulyanova/first-step-sb with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("marulyanova/first-step-sb", 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 marulyanova/first-step-sb: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/marulyanova/first-step-sb/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://marulyanova/first-step-sb/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/marulyanova/first-step-sb/resolve/main/text_encoder/pytorch_model.bin
246 MB
- Xet hash:
- 214708479654b33aff670c162d59eb6de931de6bd284c08686b06a19466de612
- Size of remote file:
- 246 MB
- SHA256:
- 1efc7f107d5d63b389ad6e7ad278159fd44dea5573f1f2082281a636f93602db
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