Instructions to use cxyz/prynty with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cxyz/prynty with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cxyz/prynty", 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 cxyz/prynty: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/cxyz/prynty/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://cxyz/prynty/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/cxyz/prynty/resolve/main/text_encoder/pytorch_model.bin
246 MB
- Xet hash:
- 2d8d684b469f24090c2c26b6d4c0749565024c1a618a99996694dbd4a174b451
- Size of remote file:
- 246 MB
- SHA256:
- 6010a7dd3b2c03fe812f035868ebcbc883180366f6e84b042425c5882a383c1b
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