Instructions to use Ajayk/stable-diff-ghibli-style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Ajayk/stable-diff-ghibli-style with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Ajayk/stable-diff-ghibli-style", 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
Download checkpoint-25/optimizer.bin from Ajayk/stable-diff-ghibli-style: direct link, hf CLI and curl.
- Browser
- Download file 6.93 GB
-
https://huggingface.co/Ajayk/stable-diff-ghibli-style/resolve/main/checkpoint-25/optimizer.bin
- Command line
-
hf download hf://Ajayk/stable-diff-ghibli-style/checkpoint-25/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/Ajayk/stable-diff-ghibli-style/resolve/main/checkpoint-25/optimizer.bin
6.93 GB
- Xet hash:
- 61a74a15685512b748c9effe6a29de957956cc32fb62323438097fd552319607
- Size of remote file:
- 6.93 GB
- SHA256:
- 22fd143fc612c3229ccf5b601a15c9ea6e69988d449983e8819b141be200492c
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