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

- Xet hash:
- 26f4c95a224f9a4ef18302bb167b458eeffe5057bce87d2ec4806a04370e8789
- Size of remote file:
- 9.68 MB
- SHA256:
- a7ce85b9ea7015d7b07de00fbcc45b7bfc0b990f631abe0e170373c3d1f3e1fc
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