Instructions to use Laughify/player with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Laughify/player with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Laughify/player", 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:
- 0fe8850844b935b39354de022b953ec569ce43e36ed32c01ae5105ba9a9bf2f7
- Size of remote file:
- 492 MB
- SHA256:
- 9f6fb7c71a498abfe6e349a1b468137ee78343107cc8b0289674c91f863b149a
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