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:
- 8ea107ddda35470007edb98dbc2025e203310060be8caaf3cce34e5bc09e539b
- Size of remote file:
- 5.24 GB
- SHA256:
- 1ecf977f43556457683c5f1cf0159f853d8790a1e83f4e73f31992d15a8d4fb8
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