Instructions to use Sososo1/fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Sososo1/fp16 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Sososo1/fp16", 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.fp16.bin from Sososo1/fp16: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/Sososo1/fp16/resolve/main/text_encoder/pytorch_model.fp16.bin
- Command line
-
hf download hf://Sososo1/fp16/text_encoder/pytorch_model.fp16.bin
-
curl -L -o pytorch_model.fp16.bin https://huggingface.co/Sososo1/fp16/resolve/main/text_encoder/pytorch_model.fp16.bin
246 MB
- Xet hash:
- 1791b92e1f925d0aa3db500dcf010302449b14fb720c544de07186c0a58425a1
- Size of remote file:
- 246 MB
- SHA256:
- 3203567ff7167b087f62db1387e61e077d19231424ecc931760b45d374932e51
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