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
- Draw Things
- DiffusionBee
- Xet hash:
- 0581a656f519a56c1b47ad1d7d4cb3f6c0b44c35dffad757f4557eb71a2b8e17
- Size of remote file:
- 3.44 GB
- SHA256:
- e17948412a0bf6a02d5d7b71af0f274bc7e9f852b266844c895c6abcbad67bb3
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