Instructions to use frtn7/santamonica with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use frtn7/santamonica with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("frtn7/santamonica", 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 frtn7/santamonica: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/frtn7/santamonica/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://frtn7/santamonica/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/frtn7/santamonica/resolve/main/text_encoder/pytorch_model.bin
246 MB
- Xet hash:
- 63a950aa6f517f00314127d195498ecd60639c5f6e76eca5d0bb2ba6717c05ac
- Size of remote file:
- 246 MB
- SHA256:
- 70e6702d850efae03c3de5c0ed80d154cb00341dae85eb226360155ee78fa30e
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