Instructions to use Gaojunyao/StyleShot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Gaojunyao/StyleShot with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Gaojunyao/StyleShot", 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 pretrained_weight/ip.bin from Gaojunyao/StyleShot: direct link, hf CLI and curl.
- Browser
- Download file 4.98 GB
-
https://huggingface.co/Gaojunyao/StyleShot/resolve/main/pretrained_weight/ip.bin
- Command line
-
hf download hf://Gaojunyao/StyleShot/pretrained_weight/ip.bin
-
curl -L -o ip.bin https://huggingface.co/Gaojunyao/StyleShot/resolve/main/pretrained_weight/ip.bin
4.98 GB
- Xet hash:
- 583b3a0af2f570a28eb79e8df1adc2a01d0e5033be54e24fbb3a23207ff15317
- Size of remote file:
- 4.98 GB
- SHA256:
- b8f9779df214c5d2133faa8c791e9804dbae78c073139bd2b6682927919dfbef
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