Instructions to use cxyz/shrysrnsftl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cxyz/shrysrnsftl 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/shrysrnsftl", 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/shrysrnsftl: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/cxyz/shrysrnsftl/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://cxyz/shrysrnsftl/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/cxyz/shrysrnsftl/resolve/main/text_encoder/pytorch_model.bin
246 MB
- Xet hash:
- b3f503893d53abad3998fc57134ec367958823d3e56e75357f2c934cff84b808
- Size of remote file:
- 246 MB
- SHA256:
- 49119f8fe93dbbda7e2eec31c0cc00913654a6491842aa626f15e7ee9c6e9b5f
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