Instructions to use ernestchu/scriptly-yours with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ernestchu/scriptly-yours with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ernestchu/scriptly-yours", 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:
- 460b54c89187adb0b1145bb749a9b5a17f6bbd2c2251b5ad41f885bf937ce14b
- Size of remote file:
- 2.18 MB
- SHA256:
- a74cd1d44b26965a67e9864ca351057bf06256cf557a3ec69628537dd1e9272b
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