Instructions to use Fantasy-Studio/Paint-by-Example with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Fantasy-Studio/Paint-by-Example with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Fantasy-Studio/Paint-by-Example", 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
- Xet hash:
- d96a7454dfc9bb2efaf89a80fa15994bbe895e7530f711da0ed1e9d29e59048f
- Size of remote file:
- 12.6 GB
- SHA256:
- f8d93b5d3870fc918fddfeffdb44c36912d398b66ad05e6197c162e65940e505
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