Instructions to use dallinmackay/Van-Gogh-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dallinmackay/Van-Gogh-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dallinmackay/Van-Gogh-diffusion", 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 preview2.jpg from dallinmackay/Van-Gogh-diffusion: direct link, hf CLI and curl.
- Browser
- Download file 10.1 MB
-
https://huggingface.co/dallinmackay/Van-Gogh-diffusion/resolve/main/preview2.jpg
- Command line
-
hf download hf://dallinmackay/Van-Gogh-diffusion/preview2.jpg
-
curl -L -o preview2.jpg https://huggingface.co/dallinmackay/Van-Gogh-diffusion/resolve/main/preview2.jpg
10.1 MB
- Xet hash:
- 212d699dbd480b1a278599a44b42fd21ade80813f3d51405eefc79d806c367b4
- Size of remote file:
- 10.1 MB
- SHA256:
- 437898fe97618743a9dae9133368f7cb441b3eb20d0c6559a8d051c16fa5c470
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