Instructions to use avishetty/smnthstyle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use avishetty/smnthstyle with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("avishetty/smnthstyle", 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 avishetty/smnthstyle: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/avishetty/smnthstyle/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://avishetty/smnthstyle/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/avishetty/smnthstyle/resolve/main/text_encoder/pytorch_model.bin
246 MB
- Xet hash:
- 10e9b0c7ba7e6c3e98e2c3dfefac99d9e51f344e5783420c9a3f3251cadb6107
- Size of remote file:
- 246 MB
- SHA256:
- f5cb98d14fd4553145e8e655b864ec2639bbd4d4ff4b4908394a62da432b0b1e
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