Text-to-Image
Diffusers
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
art
artistic
santa claus
Instructions to use 3ee/ornamental-santa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use 3ee/ornamental-santa with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("3ee/ornamental-santa", 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 3ee/ornamental-santa: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/3ee/ornamental-santa/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://3ee/ornamental-santa/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/3ee/ornamental-santa/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 9d55bfd587e36f0f5a3bdb4a6ed012bbcd945adbd78688ff9257365902afab2e
- Size of remote file:
- 492 MB
- SHA256:
- 373688386d43ddfe97a7988d3aa6410ef468350548a0d8d7904f955238d1e4db
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